Podcasts about Google Cloud

Proprietary data, not the software, is the long-term value driver. On this episode, Ann Davis, CRO at Crunchbase, walks through how knowing which customers to pursue drives 2x pipeline growth in six months, why sellers need to stay in control of the conversation, and how she built a headless AI interface that connects Salesforce, Gong, and private market data so reps know exactly what to focus on each day. Ann Davis is Chief Revenue Officer at Crunchbase, where she leads their shift from product-led to enterprise; she spent five years at Google Cloud running data and analytics and led sales at Looker (acquired by Google), and earlier configured camera systems on Sidewinder missiles for the F14 fighter program. Connect with Ann:LinkedIn Resources mentioned:SEC 10-K Search ToolOfficial Crunchbase MCP Key takeaways from this episode: 00:00 – What Ann's path from configuring missile systems to running enterprise sales reveals about building revenue infrastructure04:33 – Why most CROs invest in the wrong asset when building competitive advantage in an AI-powered sales org08:04 – A look inside the private market dataset that competitors cannot replicate, no matter how much they spend09:58 – The concrete business impact when data-driven targeting replaces guesswork in account selection20:51 – Why the transition from product-led to enterprise motion fails for most organizations, and what changes when it works32:19 – The five readiness factors that separate companies prepared for enterprise motion from those that aren't51:52 – Why enterprise sellers are becoming more essential (not obsolete) as AI reshapes sales infrastructure Hosted by five-time CRO John McMahon and Force Management Co-Founder John Kaplan, the Revenue Builders podcast goes behind the scenes with the sales leaders who have been there, done that, and seen the results. This show is brought to you by Force Management. We help companies improve sales performance, executing their growth strategy at the point of sale. Connect with Us: LinkedInYouTubeForce Management

Neste episódio de O Futuro Vem do Futuro, Leandro Costa conversa com Milena Leal, do Google Cloud, sobre uma carreira de mais de 30 anos que começou vendendo componentes de informática e COBOL, atravessou o mainframe, a chegada do mobile, a migração para a nuvem e desembocou na IA generativa. Formada em administração e direito, ela entrou na tecnologia por necessidade e construiu a carreira inteira olhando para o problema de negócio antes de olhar para o produto. A conversa organiza o debate sobre adoção de IA a partir de uma pergunta simples: quem é o dono do resultado. Milena descreve o que tem ouvido nas reuniões com executivos brasileiros, o desconforto de quem exige o uso da tecnologia sem nunca ter aberto a ferramenta, o que acontece quando a empresa tenta proibir um uso que já está acontecendo e o que muda quando a companhia sai da lógica do teste e passa a tratar cada iniciativa como projeto com retorno esperado. O ângulo de liderança aparece o tempo todo. Ela defende que a tecnologia habilita, estrutura e protege, mas que a decisão e a cobrança ficam com o executivo de negócio, porque é dele o número que será apresentado ao presidente. E lembra que o mercado está se movendo rápido demais para que uma empresa espere o framework perfeito antes de começar: pesquisa de um ano atrás já descreve outro cenário. Ao longo do episódio, você vai ouvir reflexões sobre:- A trajetória de quem vendeu COBOL e hoje lidera uma operação de nuvem- O fim da fase de prova de conceito e a cobrança por retorno financeiro- Shadow AI e a decisão de liberar acesso corporativo com segurança- A responsabilidade pelo resultado da IA dentro das áreas de negócio- Critérios de sucesso definidos antes do investimento- A diferença entre velocidade e pressa na transformação Um episódio para executivos que precisam transformar iniciativa de IA em resultado visível dentro do próprio orçamento.#FuturoVemDoFuturo #inteligenciaartificial #googlecloud #liderança #governança #governançacorporativa

The TWiST AI Basics series is made possible by Google for Startups! Build context-aware AI workflows using DeepMind models and orchestration tools with Google for Startups' new Startup technical guide on generative media. Get the guide here: https://goo.gle/technical_guide   Today's show: The demo works, the vibes are immaculate, but then the app falls apart the second real users touch it. On today's AI Basics, Temporal co-founder and CEO Samar Abbas says the problem isn't with the model at all. You're missing a harness, the layer that keeps an AI agent's work durable, secure, and recoverable if/when something breaks. Temporal's durable execution platform is used by major companies from OpenAI to Stripe to Netflix, and helps to make their long-running software reliable and interruption-free. On AI Basics, he explains why so many AI-coded prototypes die in the imagineering stage, before ever hitting production. Plus he walks Jason through Temporal's live dashboard, to show how it gives developers full visibility into what their agents are doing at every step. Guest and Relevant Links: Samar Abbas on X: https://x.com/SamarAtTemporal Temporal: https://temporal.io/ Temporal raises $550M at a $12.55B valuation: https://temporal.io/blog/temporal-raises-usd550m-series-e-at-usd12-55b-valuation-ai GeekWire: Samar Abbas on the "massive platform shift" in AI: https://www.geekwire.com/2026/temporal-ceo-samar-abbas-on-the-massive-platform-shift-in-ai-fueling-the-startups-5b-valuation/ Temporal expands Google Cloud partnership: https://temporal.io/blog/temporal-expands-google-cloud-partnership-with-pay-as-you-go-pricing Timestamps: 0:00 Why every startup needs an AI harness 2:12 Why 90% of AI prototypes never reach production 4:16 What happens when an agent crashes mid-task 7:00 A look at Temporal's dashboard 13:02 OK but what is a "harness" exactly? 15:30 When to graduate an agent from laptop to production 17:44 Organizing agents into teams Subscribe to This Week in Startups on Apple: https://rb.gy/v19fcp Follow Jason: X: https://twitter.com/Jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis   Thank you to our partner! Build context-aware AI workflows using DeepMind models and orchestration tools with Google for Startups' new Startup technical guide on generative media. Get the guide here: https://goo.gle/technical_guide Check out all our partner offers: https://partners.launch.co/   Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland   Check out our suite of newsletters: https://substack.com/@thisweekininc   Follow TWiST: Twitter: https://twitter.com/TWiStartups YouTube: https://www.youtube.com/thisweekin Instagram: https://www.instagram.com/thisweekinstartups TikTok: https://www.tiktok.com/@thisweekinstartups Substack: https://twistartups.substack.com

AI is all anyone can talk about right now, but most of us are just getting started with it while the giants have been building it for two decades. In this episode I sat down with Sneha Shah, CEO and co-founder of Hazel AI, who spent nearly 20 years at Amazon and Google as the engineer behind the scenes. She was on the team that built Amazon same-day delivery and scaled it to ten countries, then went to Google as a founding engineer on Cloud Spanner, the global database that powers companies like Deutsche Bank and Nintendo, before building Vertex AI and scaling it into Gemini Enterprise. We broke down how AI actually gets built (yes, it is real people writing real code), why Amazon delivery has always been a losing model, why AWS is where the money is, and the difference between knowledge and wisdom in an LLM. Then we got into Hazel AI, the engine she is building underneath the biggest tech consulting firms on the planet, and the honest conversation everyone is avoiding: which jobs AI is going to take, which ones it is going to create, and why the opportunity has never been bigger for the people willing to get uncomfortable and level up. If you want to hear where AI is going from someone who has actually been in the trenches instead of another influencer guessing, this one is for you. About Guest: Sneha Shah is the CEO and co-founder of Hazel AI, an Autonomous AI Modernization OS that powers global system integrators as they take Global 2000 enterprises from cloud native to AI native. Before founding Hazel, Sneha spent nearly two decades building at the largest scale on the planet. She started her career at Amazon straight out of Carnegie Mellon University, where she was part of the team that built same-day delivery and scaled it across ten countries. She then spent almost a decade at Google Cloud as a founding engineer on Cloud Spanner, the globally distributed database used by companies like Deutsche Bank and Nintendo, growing the team from four to hundreds and the product to over 100 million in scale. She went on to build Vertex AI, Google's flagship AI platform, and scale it into Gemini Enterprise. Hazel AI now works with five of the top ten global system integrators and serves over $10 billion in business across retail, manufacturing, and agriculture. Sneha is based in the San Francisco Bay Area. Guest Links and Socials: Website: https://www.gethazel.dev Platform sign-up: https://gethazel.ai LinkedIn: https://www.linkedin.com/in/snehashah/ Contact: sneha@gethazel.ai About Justin: Justin Colby is the host of The Entrepreneur DNA and The M.O.R.E Show podcasts and a best-selling author. He is a serial entrepreneur and a seasoned real estate investor with over 20 years of experience. Driven by a passion to help entrepreneurs thrive, Justin created the Entrepreneur DNA community to support business owners in building wealth, systems, and long-term freedom. Through his podcasts, books, education platforms, and hands-on mentorship, he continues to help entrepreneurs scale with clarity and confidence. Connect with Justin: Instagram: @thejustincolby YouTube: Justin Colby TikTok: @justincolbytsof LinkedIn: Justin Colby Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Trois rivaux qui ne peuvent pas s'encadrer veulent soudainement appuyer ensemble sur le frein. Dario Amodei, Sam Altman et Elon Musk appellent à ralentir la course à l'IA. Ont-ils découvert quelque chose d'inquiétant ? Ou cherchent-ils surtout à protéger un modèle économique qui commence à craquer ?Derrière le débat sur la sécurité, une autre bataille se joue : modèles propriétaires contre open source, États-Unis contre Chine, régulation contre concurrence. Pendant que les géants américains dépensent des fortunes pour maintenir leur avance, les modèles chinois deviennent toujours moins chers et l'open source continue d'accélérer.Et si le véritable danger n'était pas seulement une IA hors de contrôle, mais aussi une poignée d'acteurs utilisant la peur pour verrouiller le marché ?===================⏱️ DANS CET ÉPISODE :===================00:00 — Sommaire04:27 — [Sponsor] : Google Cloud, déployez des agents IA à grande échelle !06:05 — Altman, Amodei, Musk réunis : alerte sincère ou complot ?07:51 — Le modèle économique de l'IA craque avant l'IPO12:16 — Le marketing de la peur comme outil de survie financière14:39 — Google aurait déclenché l'autoamélioration de l'IA en secret18:40 — L'incident Hugging Face : des agents hors de contrôle25:56 — La régulation : arme secrète pour éliminer les concurrents30:23 — L'Europe à son moment Mesmer : ne pas rater l'IA32:51 — Peter Thiel : la peur, outil de conquête du pouvoir38:02 — Votre abonnement IA est subventionné : combien de temps encore ?47:59 — Trump tranche : les États-Unis ne perdront pas l'IA !==================

I don't think this is particularly impressive or interesting for anyone else, but I think it may turn out to be useful in the future to have an easily visible public record of what happened, so here goes: I am an L5 SWE at Google Israel. I have been there since May 2021, was promoted once, and have never received a negative annual or quarterly review (ranging from a rating of Significant Impact to Outstanding Impact). I have been worried for a long time about the development of artificial intelligence, as can be seen by many of my posts on this website. I believe that above human intelligence AI may well have the motive and means to wipe out humanity, and that developing AI is the most consequential thing that people have ever done. It is imperative we tread slowly and carefully, but right now top AI labs are racing to get there as fast as they can, which is likely to lead to disaster. My wider team (~60 people) at Google was recently reassigned from working on supporting migration to Google Cloud, to improving the enterprise customer experience for Cloud TPUs. This is the platform which external customers [...] The original text contained 4 footnotes which were omitted from this narration. --- First published: September 13th, 2026 Source: https://www.lesswrong.com/posts/wM5vbT9evBhM3fP3x/i-am-refusing-to-work-on-cloud-tpus --- Narrated by TYPE III AUDIO.

Today I'm talking to Daniel Faggella, who built and sold a $2 million ecommerce business so he could go all-in on artificial intelligence years before the rest of the business world caught up. Daniel is now the founder of Emerj, an AI research and media company that works with companies like NVIDIA, Google Cloud, and Salesforce. He also hosts the AI in Business podcast, where he's spent years building relationships with the executives responsible for some of the biggest AI investments inside enterprise. What makes his business especially interesting is that its value has very little to do with how many people download the podcast. Daniel built a network around people who had relatively little influence when he first started talking to them, but would eventually control massive budgets as AI became a priority. We get into where AI actually stands inside large companies today, why smaller businesses may have an advantage over enterprise, and how Daniel thinks about positioning yourself around a market before the money and attention arrive.   Watch on YouTube:  https://youtu.be/jyZf8woo2aU     Let's Connect: Website | Instagram | YouTube | TikTok | Twitter | Facebook

On parle aujourd'hui du manifeste que Zuckerberg vient de publier sur l'IA : une promesse de super-intelligence pour chacun, contre les labos fermés qui concentrent le pouvoir. Belle vision mais peut-on lui faire confiance ?Pendant ce temps, la Chine inonde la planète de modèles gratuits, les hyperscalers sont attaqués, et Bill Gates prédit une ère de turbulences sans précédent dans l'histoire de l'humanité.Qui gouvernera vraiment l'IA ? Ni les intellectuels, absents du débat. Ni les politiques, qui n'ont même pas de plan pour avoir un plan.===================⏱️ DANS CET ÉPISODE :===================0:00 — Sommaire0:43 — Présentation des invités2:31 — Zuckerberg publie son manifeste : l'IA doit appartenir à tous4:31 — META de retour : stratégie IA ou coup de comm ?7:29 — La Chine inonde la planète de modèles IA gratuits10:47 — [Sponsor] Google Cloud au service de l'innovation française !12:06 — Zuckerberg interdit aux autres ce qu'il fait lui-même21:49 — La face cachée de Mark Zuckerberg 28:07 — Bill Gates : la transition la plus turbulente de l'histoire32:29 — Zuckerberg veut le bien des États-Unis ?35:15 — La faillite des intellectuels face à l'IA==================

Ali Mogharabi believes Alphabet (GOOGL) has the edge over Meta Platforms (META) when it comes to building a full AI stack with monetization capabilities. That said, Ali makes the case Meta's Muse AI will offer more profit opportunities even as Google Cloud takes market share. Angelo Zino adds that Alphabet is proving its CapEx is turning into viable AI-centric profits. He notes security concerns will serve as a lasting headwind for Meta. ======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Plus: French startup Mistral AI tops $24 billion valuation in latest funding round. And Boston Scientific issues profit warning after cyberattack. Imani Moise hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this special Marketing in the Madness episode, Katie Street looks back at her biggest conversations from Shoptalk Europe, Shoptalk Spring and Shoptalk Luxe. Hear insights from retail, technology and marketing leaders at Adidas, P&G, eBay, Hilton, Google Cloud, Cotswold Outdoor Group, Chalhoub Group, Langham Hospitality Group and Commerce. From preparing your products for AI search to building a family of AI employees, this episode explores the ideas transforming how brands reach customers and drive growth. You'll discover: How Cotswold Outdoor achieved a 30% increase in ASICS' share of revenue through retail media Why 60% of Adidas' revenue comes through B2B channels How P&G is preparing its brands to be discovered through AI Why pre-loved luxury can introduce consumers to new brands How first-party data powers personalisation and predictive marketing The luxury travel trends shaping 2026 and beyond How AI agents could transform the customer journey Topics covered: 00:00 - The biggest lessons from Shoptalk 2026 02:23 - Cotswold Outdoor's retail media results 04:28 - Why B2B drives 60% of Adidas' revenue 07:11 - How P&G is preparing for AI search 09:25 - eBay and the rise of pre-loved luxury 12:26 - Using first-party data to power AI 15:11 - Hilton's biggest luxury travel trends 17:53 - Langham's family of AI employees 21:34 - Preparing product data for agentic commerce 25:44 - Google's Universal Commerce Protocol explained 27:45 - Join Katie at Shoptalk in Nashville Subscribe to Marketing in the Madness for more conversations about retail, marketing, AI, technology and the future of commerce. Shoptalk FALL 2026 is already shaping up to be HUGE.  If retail, tech and innovation sit anywhere in your world, now's the time to get your ticket and get it in the diary here: https://hubs.la/Q04rPP6v0 Audio version available on: Spotify: https://open.spotify.com/show/2UUIgMdZ6FdSCrux5BY7PI?si=c48bdbecb5be4a6e Apple Podcasts: https://podcasts.apple.com/us/podcast/marketing-in-the-madness/id1688996981 Connect with us: Jamie Kristow https://www.linkedin.com/in/jamiekristow/ Siddharth Roy https://www.linkedin.com/in/siddharthroy2010/ Rob Manhoudt https://www.linkedin.com/in/rob-manhoudt-3715b41/ Kirsty Keoghan https://www.linkedin.com/in/kirsty-keoghan-05464517/ Amit Manghnani https://www.linkedin.com/in/amitkeswanim/ Candice D'Cruz https://www.linkedin.com/in/candicedcruz/ Sean Seah https://www.linkedin.com/in/seanseah/ Sharon Gee https://www.linkedin.com/in/sharongeenyc/ Kapil Dabi https://www.linkedin.com/in/kapildabi/ Katie Street https://www.linkedin.com/in/katiestreet/ https://www.instagram.com/streetmate/ Marketing in the Madness https://www.linkedin.com/company/marketing-in-the-madness-podcast/ https://www.instagram.com/marketinginthemadness/

Tim Hockin is a long term software engineer with Google Cloud and I would argue one of the fathers of Kubernetes. Brandon Royal is a product manager on GKE and has been behind the launch of multiple OSS projects like the Ray Operator for k8s, Agent Sandbox and our topic for today - Agent Substrate.   Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod - bluesky: @kubernetespodcast.com   News of the week Kubernetes 1.37: Garhwal Kubernetes Podcast: Kubernetes 1.37 with Dipesh Rawat Kubernetes release & maintenance information: https://kubernetes.io/releases/ BOMHort Google Open Source Blog: Adapting open source practices to an AI-first world: A retrospective on 2025 Kubernetes-security-announce Google Group Kubernetes CVE RSS Feed Links from the interview Agent Substrate on GitHub Agent Sandbox Kubernetes Checkpoint & Restore Working Group spiffe.io HashiCorp Blog: SPIFFE: Securing the identity of agentic AI and non-human actors Links from the post-interview chat Kubernetes Podcast: Agent Sandbox and Lovable, with Jonathan Grahl

Rochana Golani, VP of Enablement at Databricks, is one of the most innovative and business-focused learning executives I've met. In this action-packed conversation Rochana shares the secrets of the company's AI-powered dynamic training, learning, and enablement system, and how she runs internal and customer learning like a fast-growing business. Databricks is one of the world's fastest-growing enterprise software companies and a central player in the convergence of data infrastructure, analytics, machine learning, and generative AI. Founded in 2013 by the UC Berkeley researchers who created Apache Spark, Databricks pioneered the “lakehouse”—an architecture designed to combine the scalability of a data lake with the management, reliability, and analytical capabilities of a data warehouse. Its platform now supports data engineering, business intelligence, AI development, governance, databases, and enterprise AI agents across AWS, Microsoft Azure, and Google Cloud. Databricks company overview This amazing private company reports: More than 20,000 customers Approximately 70% of the Fortune 500 More than 10,000 employees More than 8,000 cloud, software, and consulting partners. As of August 2026, Databricks says it has exceeded a $7 billion annualized revenue run rate, growing by more than 80% year over year during its second quarter. Additional Information Corporate Learning: From Static Training to Dynamic Enablement Galileo Learn: Experience Dynamic Learning Yourself The Josh Bersin Institute: Masterclass in HR Excellence Chapters (00:00:00) - Interview With Databricks's Roshana Golani(00:00:24) - Databricks CEO on the Disruptive Technology(00:01:36) - How to Get Empowerment at Databricks(00:03:16) - WSJD Live: Data & Machine Learning Lead the Way(00:08:09) - Teaching and Enablement: The New Paradigm(00:11:01) - How to Build a Better Solution with Databricks(00:14:52) - WSJD Live: The Skills Taxonomy(00:15:22) - What do you think happens to course content?(00:17:13) - The source of content in the Learning Infrastructure(00:22:52) - Databricks: The go-to training solution for business users(00:24:25) - In the Era of AI, Who Will Lead the Transformation?(00:26:57) - Subject Matter Experts and the Learning Infrastructure(00:28:20) - A Day in the Life of Leadership Development

Govern every AI agent running across your organization with Agent 365. Track agents from Microsoft, Amazon, Google, and Salesforce in one registry, sync in agents you're already running on AWS Bedrock, Google Cloud, Databricks Genie, and Anthropic Claude, and lock down shadow AI with default blocks and Execution Container isolation. Agent 365 inspects your environment for every agent Microsoft and partners have registered, then layers control on top. Reusable security policy templates apply Conditional Access, Access Packages, and Custom Security Attributes the moment you approve an agent, Tools governance blocks risky MCP servers and connectors org wide, and the Adoption Dashboard breaks down usage by group, job function, and license type for every manager in your org.  Jeremy Chapman, Microsoft 365 Director, shares how to bring every agent in your organization under one governed registry, and how to shut down shadow AI before it ever compromises your environment. 

Interview with Dan Meacham, CISO at Legendary Entertainment Dan Meacham joined us to share a preview of his leadership panel at InfoSec World. At this CRA event in October, Dan will be discussing The Augmented Defender - What AI Actually Changes on the Front Line with Daniel Bowden, the Global CISO at Marsh. Dan dives into the unique world of securing data and assets when film production is largely handled by partners and contractors, working from systems you'll likely have limited access to and definitely can't install agents on. It's a fascinating conversation you should check out! Visit https://securityweekly.com/infosecworld2026 and save 30% on your ISW pass with code: ISW26-SWSAVINGS Black Hat Interview 1 - Google Cloud Outpacing the Adversary with AI Threat Defense - Black Hat interview with John Hultquist, Chief Analyst, Google Threat Intelligence Group at Google The cybersecurity landscape is undergoing a radical shift. AI is no longer just a productivity accelerator for developers and analysts—it has become actively weaponized by sophisticated threat actors to discover and exploit vulnerabilities at unprecedented speed. We'll discuss Google's own approach to combating today's threats and the need for security teams to transform vulnerability management with machine-speed defense. Segment Resources: https://cloud.google.com/blog/products/identity-security/introducing-google-ai-threat-defense https://services.google.com/fh/files/misc/ebookgooglecloudsecurityaithreatdefense.pdf https://services.google.com/fh/files/misc/whitepapercombatingaidriventhreatsgooglemachinespeed_defense.pdf This segment is sponsored by Google Cloud. Visit https://securityweekly.com/googlebh to learn more! Black Hat Interview 2 - Forcepoint Decoding Agentic: Securing the Data Layer AI Just Set on Fire - Black Hat interview with Ronan Murphy, Chief Data Strategy Officer of Forcepoint AI didn't ask permission — and it permanently changed what data risk looks like. Forcepoint Chief Data Strategy officer and member of the Artificial Intelligence Advisory Council in Ireland, shares insights on a clear call to action for agentic enterprises: stop locking AI down and start securing it where the risk actually lives, in the data itself. Learn why data trust is the foundation of the agentic era and how the world's leading enterprises are ending the false choice between AI innovation and data safety. Segment Resources: https://www.forcepoint.com/resources/ebooks/enterprise-guide-ai-data-security https://www.forcepoint.com/blog/insights/forcepoint-announces-ai-data-security This segment is sponsored by Forcepoint. Visit https://securityweekly.com/forcepointbh to learn more! Black Hat Interview 3 - Keyfactor From Secrets to Verified Workload Identity—at Enterprise Scale - Black Hat interview with Ellen Boehm, SVP, Strategy & AI Innovation at Keyfactor As AI agents become autonomous participants inside enterprise environments, organizations can no longer rely on static credentials and traditional identity models to establish trust. Enterprise AI is driving a shift from possession-based access to cryptographically verified identity, as AI agents, cloud-native workloads, and automated services increasingly make decisions and interact with critical systems. In this discussion, we'll discuss why organizations need to continuously establish trust, govern machine identities and cryptography, and build a resilient foundation for securing AI across increasingly dynamic environments. Segment Resources: https://www.keyfactor.com/blog/ai-agents-the-identity-problem-nobody-owns-yet/ https://www.keyfactor.com/education-center/what-is-trust-infrastructure/ https://www.keyfactor.com/resources/topic/col/products/the-trust-control-plane?pflpid=60788&pfsid=HsCXvwPWB1 This segment is sponsored by Keyfactor. Visit https://securityweekly.com/keyfactorbh to learn more! Black Hat Interview 4 - Delinea Delinea Delivers Runtime Authorization for AI Agents, Closing Access Control Gap - Black Hat interview with Frank Vukovits, Chief Security Scientist at Delinea As AI agents move from experiments to autonomous operators inside production databases, cloud consoles, and Kubernetes clusters, enterprises face a new problem: agents with legitimate credentials taking actions no one authorized. Frank breaks down why verifying access at connection time is no longer enough and what it takes to enforce policy on every agent action before it executes. He explains how runtime authorization closes the gap between hiding credentials and actually controlling what agents do once they're inside a session. This segment is sponsored by Delinea. Visit https://securityweekly.com/delineabh to learn more! Visit https://www.securityweekly.com/esw for all the latest episodes! Show Notes: https://securityweekly.com/esw-474

AI is about to replace bloated SaaS, and most businesses are still only playing with chatbotsSean G Muller says the next wave of AI is not about better prompts or prettier copilots. It is about rebuilding business around context, agents, and what actually creates value - before your software stack becomes the expensive middleman.Mark Smth and Sean unpack why the last six months have been a genuine shift: agentic loops are now good enough to handle real business work, not just experiments. Sean explains how he moved from traditional technical architecture into building full application pipelines, MCP servers, and background agents that review email, track social signals, draft responses, and keep business moving without adding more human overhead.You'll discover why context is the missing ingredient in almost every failed AI project, how Sean uses a simple meal-planning example to explain it, and why companies that scatter knowledge across laptops, SharePoint, Google Cloud, and people's heads are sitting on hidden risk. Sean also breaks down the difference between AI as a feature and AI as a business transformation engine, including the mistake many firms make when they bolt chat onto old workflows and call it progress.We also get into the coming SaaS pocalypse - the idea that tools like HubSpot, Salesforce, Xero, Slack, and Atlassian may face a serious reckoning as businesses realize they can build leaner, custom, agent-first systems for less than the cost of endless licenses and modules. Sean shares how he built a headless, agent-driven CRM and why he thinks greenfield builds will replace expensive transformation projects much sooner than most executives expect. This conversation matters if you lead a business, run operations, own a small or mid-sized company, or simply suspect your current software is forcing you to work the wrong way. If you want to understand where AI is actually delivering leverage right now - and how to avoid wasting money on shallow pilots - this episode is essential listening.Mark Smth hosts the conversation and brings the enterprise and product lens, pushing Sean to get specific about what success looks like for real businesses in New Zealand.Sean G Muller is an AI and enterprise architecture specialist based in New Zealand, known for helping organizations build practical AI systems, implement agentic workflows, and rethink business process from the ground up.Resources1. The Cuckoo's Egg: Tracking a Spy Through the Maze of Computer Espionage - https://www.amazon.com.au/dp/0385249462?ref_=mr_referred_us_au_nz2. Gemini: A Family of Highly Capable Multimodal Models — 2312.11805.pdf ⁠https://arxiv.org/abs/2312.118053. On the Measure of Intelligence — 1911.01547.pdf - https://arxiv.org/pdf/1911.01547Support the showIf you want to get in touch with me, you can message me here on Linkedin.Thanks for listening

In this episode of The Marketing Rapport, host Tim Finnigan sits down with Lucas Thelosen, Founder & CEO of Orion by Gravity, and former Head of Product for Data & AI at Google Cloud to unpack what actually separates data-driven companies from the ones that only claim to be. Drawing on his experience working alongside Uber, Walmart, Amazon, Warby Parker, and On Running, Lucas explains why the most competitive markets consistently produce the most sophisticated data practices, and how a compounding 2% edge translates into billion-dollar valuation gaps over time.The views, thoughts, and opinions expressed are those of the speaker and do not necessarily represent the views, thoughts, and opinions of ActiveProspect. The material and information presented here is for general information purposes only.This podcast is not intended to replace legal or other professional advice. The Lead Intelligence, Inc. (dba InfutorData) and ActiveProspect LLC names and all forms and abbreviations are the property of its owner and its use does not imply endorsement of or opposition to any specific organization, product, or service.ACTIVEPROSPECT DISCLAIMS ALL LIABILITY ARISING OUT OF ANY INDIVIDUAL'S USE OF, REFERENCE TO, RELIANCE ON, OR INABILITY TO USE THIS PODCAST OR THE INFORMATION PRESENTED IN THIS PODCAST.

Interview with Dan Meacham, CISO at Legendary Entertainment Dan Meacham joined us to share a preview of his leadership panel at InfoSec World. At this CRA event in October, Dan will be discussing The Augmented Defender - What AI Actually Changes on the Front Line with Daniel Bowden, the Global CISO at Marsh. Dan dives into the unique world of securing data and assets when film production is largely handled by partners and contractors, working from systems you'll likely have limited access to and definitely can't install agents on. It's a fascinating conversation you should check out! Visit https://securityweekly.com/infosecworld2026 and save 30% on your ISW pass with code: ISW26-SWSAVINGS Black Hat Interview 1 - Google Cloud Outpacing the Adversary with AI Threat Defense - Black Hat interview with John Hultquist, Chief Analyst, Google Threat Intelligence Group at Google The cybersecurity landscape is undergoing a radical shift. AI is no longer just a productivity accelerator for developers and analysts—it has become actively weaponized by sophisticated threat actors to discover and exploit vulnerabilities at unprecedented speed. We'll discuss Google's own approach to combating today's threats and the need for security teams to transform vulnerability management with machine-speed defense. Segment Resources: https://cloud.google.com/blog/products/identity-security/introducing-google-ai-threat-defense https://services.google.com/fh/files/misc/ebookgooglecloudsecurityaithreatdefense.pdf https://services.google.com/fh/files/misc/whitepapercombatingaidriventhreatsgooglemachinespeed_defense.pdf This segment is sponsored by Google Cloud. Visit https://securityweekly.com/googlebh to learn more! Black Hat Interview 2 - Forcepoint Decoding Agentic: Securing the Data Layer AI Just Set on Fire - Black Hat interview with Ronan Murphy, Chief Data Strategy Officer of Forcepoint AI didn't ask permission — and it permanently changed what data risk looks like. Forcepoint Chief Data Strategy officer and member of the Artificial Intelligence Advisory Council in Ireland, shares insights on a clear call to action for agentic enterprises: stop locking AI down and start securing it where the risk actually lives, in the data itself. Learn why data trust is the foundation of the agentic era and how the world's leading enterprises are ending the false choice between AI innovation and data safety. Segment Resources: https://www.forcepoint.com/resources/ebooks/enterprise-guide-ai-data-security https://www.forcepoint.com/blog/insights/forcepoint-announces-ai-data-security This segment is sponsored by Forcepoint. Visit https://securityweekly.com/forcepointbh to learn more! Black Hat Interview 3 - Keyfactor From Secrets to Verified Workload Identity—at Enterprise Scale - Black Hat interview with Ellen Boehm, SVP, Strategy & AI Innovation at Keyfactor As AI agents become autonomous participants inside enterprise environments, organizations can no longer rely on static credentials and traditional identity models to establish trust. Enterprise AI is driving a shift from possession-based access to cryptographically verified identity, as AI agents, cloud-native workloads, and automated services increasingly make decisions and interact with critical systems. In this discussion, we'll discuss why organizations need to continuously establish trust, govern machine identities and cryptography, and build a resilient foundation for securing AI across increasingly dynamic environments. Segment Resources: https://www.keyfactor.com/blog/ai-agents-the-identity-problem-nobody-owns-yet/ https://www.keyfactor.com/education-center/what-is-trust-infrastructure/ https://www.keyfactor.com/resources/topic/col/products/the-trust-control-plane?pflpid=60788&pfsid=HsCXvwPWB1 This segment is sponsored by Keyfactor. Visit https://securityweekly.com/keyfactorbh to learn more! Black Hat Interview 4 - Delinea Delinea Delivers Runtime Authorization for AI Agents, Closing Access Control Gap - Black Hat interview with Frank Vukovits, Chief Security Scientist at Delinea As AI agents move from experiments to autonomous operators inside production databases, cloud consoles, and Kubernetes clusters, enterprises face a new problem: agents with legitimate credentials taking actions no one authorized. Frank breaks down why verifying access at connection time is no longer enough and what it takes to enforce policy on every agent action before it executes. He explains how runtime authorization closes the gap between hiding credentials and actually controlling what agents do once they're inside a session. This segment is sponsored by Delinea. Visit https://securityweekly.com/delineabh to learn more! Visit https://www.securityweekly.com/esw for all the latest episodes! Show Notes: https://securityweekly.com/esw-474

Interview with Dan Meacham, CISO at Legendary Entertainment Dan Meacham joined us to share a preview of his leadership panel at InfoSec World. At this CRA event in October, Dan will be discussing The Augmented Defender - What AI Actually Changes on the Front Line with Daniel Bowden, the Global CISO at Marsh. Dan dives into the unique world of securing data and assets when film production is largely handled by partners and contractors, working from systems you'll likely have limited access to and definitely can't install agents on. It's a fascinating conversation you should check out! Visit https://securityweekly.com/infosecworld2026 and save 30% on your ISW pass with code: ISW26-SWSAVINGS Black Hat Interview 1 - Google Cloud Outpacing the Adversary with AI Threat Defense - Black Hat interview with John Hultquist, Chief Analyst, Google Threat Intelligence Group at Google The cybersecurity landscape is undergoing a radical shift. AI is no longer just a productivity accelerator for developers and analysts—it has become actively weaponized by sophisticated threat actors to discover and exploit vulnerabilities at unprecedented speed. We'll discuss Google's own approach to combating today's threats and the need for security teams to transform vulnerability management with machine-speed defense. Segment Resources: https://cloud.google.com/blog/products/identity-security/introducing-google-ai-threat-defense https://services.google.com/fh/files/misc/ebookgooglecloudsecurityaithreatdefense.pdf https://services.google.com/fh/files/misc/whitepapercombatingaidriventhreatsgooglemachinespeed_defense.pdf This segment is sponsored by Google Cloud. Visit https://securityweekly.com/googlebh to learn more! Black Hat Interview 2 - Forcepoint Decoding Agentic: Securing the Data Layer AI Just Set on Fire - Black Hat interview with Ronan Murphy, Chief Data Strategy Officer of Forcepoint AI didn't ask permission — and it permanently changed what data risk looks like. Forcepoint Chief Data Strategy officer and member of the Artificial Intelligence Advisory Council in Ireland, shares insights on a clear call to action for agentic enterprises: stop locking AI down and start securing it where the risk actually lives, in the data itself. Learn why data trust is the foundation of the agentic era and how the world's leading enterprises are ending the false choice between AI innovation and data safety. Segment Resources: https://www.forcepoint.com/resources/ebooks/enterprise-guide-ai-data-security https://www.forcepoint.com/blog/insights/forcepoint-announces-ai-data-security This segment is sponsored by Forcepoint. Visit https://securityweekly.com/forcepointbh to learn more! Black Hat Interview 3 - Keyfactor From Secrets to Verified Workload Identity—at Enterprise Scale - Black Hat interview with Ellen Boehm, SVP, Strategy & AI Innovation at Keyfactor As AI agents become autonomous participants inside enterprise environments, organizations can no longer rely on static credentials and traditional identity models to establish trust. Enterprise AI is driving a shift from possession-based access to cryptographically verified identity, as AI agents, cloud-native workloads, and automated services increasingly make decisions and interact with critical systems. In this discussion, we'll discuss why organizations need to continuously establish trust, govern machine identities and cryptography, and build a resilient foundation for securing AI across increasingly dynamic environments. Segment Resources: https://www.keyfactor.com/blog/ai-agents-the-identity-problem-nobody-owns-yet/ https://www.keyfactor.com/education-center/what-is-trust-infrastructure/ https://www.keyfactor.com/resources/topic/col/products/the-trust-control-plane?pflpid=60788&pfsid=HsCXvwPWB1 This segment is sponsored by Keyfactor. Visit https://securityweekly.com/keyfactorbh to learn more! Black Hat Interview 4 - Delinea Delinea Delivers Runtime Authorization for AI Agents, Closing Access Control Gap - Black Hat interview with Frank Vukovits, Chief Security Scientist at Delinea As AI agents move from experiments to autonomous operators inside production databases, cloud consoles, and Kubernetes clusters, enterprises face a new problem: agents with legitimate credentials taking actions no one authorized. Frank breaks down why verifying access at connection time is no longer enough and what it takes to enforce policy on every agent action before it executes. He explains how runtime authorization closes the gap between hiding credentials and actually controlling what agents do once they're inside a session. This segment is sponsored by Delinea. Visit https://securityweekly.com/delineabh to learn more! Show Notes: https://securityweekly.com/esw-474

Interview with Dan Meacham, CISO at Legendary Entertainment Dan Meacham joined us to share a preview of his leadership panel at InfoSec World. At this CRA event in October, Dan will be discussing The Augmented Defender - What AI Actually Changes on the Front Line with Daniel Bowden, the Global CISO at Marsh. Dan dives into the unique world of securing data and assets when film production is largely handled by partners and contractors, working from systems you'll likely have limited access to and definitely can't install agents on. It's a fascinating conversation you should check out! Visit https://securityweekly.com/infosecworld2026 and save 30% on your ISW pass with code: ISW26-SWSAVINGS Black Hat Interview 1 - Google Cloud Outpacing the Adversary with AI Threat Defense - Black Hat interview with John Hultquist, Chief Analyst, Google Threat Intelligence Group at Google The cybersecurity landscape is undergoing a radical shift. AI is no longer just a productivity accelerator for developers and analysts—it has become actively weaponized by sophisticated threat actors to discover and exploit vulnerabilities at unprecedented speed. We'll discuss Google's own approach to combating today's threats and the need for security teams to transform vulnerability management with machine-speed defense. Segment Resources: https://cloud.google.com/blog/products/identity-security/introducing-google-ai-threat-defense https://services.google.com/fh/files/misc/ebookgooglecloudsecurityaithreatdefense.pdf https://services.google.com/fh/files/misc/whitepapercombatingaidriventhreatsgooglemachinespeed_defense.pdf This segment is sponsored by Google Cloud. Visit https://securityweekly.com/googlebh to learn more! Black Hat Interview 2 - Forcepoint Decoding Agentic: Securing the Data Layer AI Just Set on Fire - Black Hat interview with Ronan Murphy, Chief Data Strategy Officer of Forcepoint AI didn't ask permission — and it permanently changed what data risk looks like. Forcepoint Chief Data Strategy officer and member of the Artificial Intelligence Advisory Council in Ireland, shares insights on a clear call to action for agentic enterprises: stop locking AI down and start securing it where the risk actually lives, in the data itself. Learn why data trust is the foundation of the agentic era and how the world's leading enterprises are ending the false choice between AI innovation and data safety. Segment Resources: https://www.forcepoint.com/resources/ebooks/enterprise-guide-ai-data-security https://www.forcepoint.com/blog/insights/forcepoint-announces-ai-data-security This segment is sponsored by Forcepoint. Visit https://securityweekly.com/forcepointbh to learn more! Black Hat Interview 3 - Keyfactor From Secrets to Verified Workload Identity—at Enterprise Scale - Black Hat interview with Ellen Boehm, SVP, Strategy & AI Innovation at Keyfactor As AI agents become autonomous participants inside enterprise environments, organizations can no longer rely on static credentials and traditional identity models to establish trust. Enterprise AI is driving a shift from possession-based access to cryptographically verified identity, as AI agents, cloud-native workloads, and automated services increasingly make decisions and interact with critical systems. In this discussion, we'll discuss why organizations need to continuously establish trust, govern machine identities and cryptography, and build a resilient foundation for securing AI across increasingly dynamic environments. Segment Resources: https://www.keyfactor.com/blog/ai-agents-the-identity-problem-nobody-owns-yet/ https://www.keyfactor.com/education-center/what-is-trust-infrastructure/ https://www.keyfactor.com/resources/topic/col/products/the-trust-control-plane?pflpid=60788&pfsid=HsCXvwPWB1 This segment is sponsored by Keyfactor. Visit https://securityweekly.com/keyfactorbh to learn more! Black Hat Interview 4 - Delinea Delinea Delivers Runtime Authorization for AI Agents, Closing Access Control Gap - Black Hat interview with Frank Vukovits, Chief Security Scientist at Delinea As AI agents move from experiments to autonomous operators inside production databases, cloud consoles, and Kubernetes clusters, enterprises face a new problem: agents with legitimate credentials taking actions no one authorized. Frank breaks down why verifying access at connection time is no longer enough and what it takes to enforce policy on every agent action before it executes. He explains how runtime authorization closes the gap between hiding credentials and actually controlling what agents do once they're inside a session. This segment is sponsored by Delinea. Visit https://securityweekly.com/delineabh to learn more! Show Notes: https://securityweekly.com/esw-474

Don’t get left behind in the AI shift! Subscribe to our Newsletter: https://theultimatepartner.com/ebook-subscribe/ Check Out UPX: https://theultimatepartner.com/experience/ In this critical conversation, Vince Menzione sits down with Shannon Sigmon, Marc Harpster, and Jeff Mesnik to uncover how the rapid pace of change in the Google Cloud Marketplace and AI agent integration is forcing organizations to completely rethink their go-to-market strategies. They break down why traditional three-year business plans are dead, replacing them with agile 100-day sprints to keep up with the shifting ecosystem. The panel reveals that leveraging your Adaptability Quotient (AQ) and turning data patterns into actionable co-sell motions are the only ways to survive the upcoming “agent age” and maintain a competitive edge. https://youtu.be/xIaABKU1jmM Key Takeaways Consistent messaging is required to gather actionable data and build trust with channel partners. Three-to-five-year business plans are obsolete, and leaders must now operate in 100-day sprints to keep pace with hyperscaler changes. Google Cloud Marketplace uniquely supports channel partners by allowing them to own the customer relationship and recognize top-line revenue. The rise of AI agents is shifting discovery away from traditional SEO, requiring ISVs to adapt how they provide access to their tools. Creating interactive content variations from a single asset helps train AI agents to discover and prioritize your solutions. Despite rapid digital transformation, human connection remains the ultimate deciding factor in enterprise software purchases. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags Adaptability Quotient, Google Cloud Marketplace, agentic age, co-sell motion, digital sales hub, private offers, propensity to buy, AI pattern analysis, hyperscaler CRM, interactive trivia content, product-led discovery. Transcript Shannon – Marc – Jeff AUDIO Podcast [00:00:00] Vince Menzione: That becomes the core of your data analysis because if you’re not submitting consistent content and submit, you know, consistent information, then you’re not gonna get information back. [00:00:13] Vince Menzione: You can feel it happening. The ecosystem is shifting beneath us. The way Hyperscalers are partnering, how AI is remaking the channel and what it means to win in 2026. [00:00:25] Vince Menzione: Welcome to the Ultimate Partner [00:00:26] Vince Menzione: Podcast. I’m Vince Menzione your host. And each week I sit down with leaders at the intersection of technology, partnerships and outcomes. The voices shaping how ecosystems actually work. We talk about what’s real, what’s changing, and what it takes to lead in this era where the partner channel isn’t just part of the [00:00:46] Vince Menzione: strategy. [00:00:47] Vince Menzione: It is the strategy because being in the room changes everything. Let’s start. [00:00:57] ——-: We have another incredible group of leaders coming up here and, uh, and friends of ultimate partner and, uh, Susan, do you need me for, okay, good. Come on up. So I’m gonna, I’m gonna invite you up and then have you each. Introduce yourself, uh, to this conversation. Shannon, it has been a great to see you. Yeah, great friend. [00:01:18] ——-: Been in, it was in Boca. Mark. Great to have you. Good to see you, sir. Jeff, great to have you. Uh, this is incredible. I’m, I’m excited for this conversation. So, uh, yeah, we talked about aq. We talked a little bit about AQ in this last session. Don’t, didn’t we? Yeah. [00:01:34] Shannon Sigmon: A little. [00:01:34] Vince Menzione: Why don’t we go, why don’t we have you, I wanna have you each introduce yourself, your role, your company mission, and, and, and everything here. [00:01:40] Vince Menzione: So why don’t we start with Shannon. [00:01:41] Shannon Sigmon: Um, hey, thank you Vince for having us again, um, here in Bellevue. It’s been great to meet with everybody and see some old friends. Uh, I’m at Software One, so Shannon Sigman, um, based on the East Coast, but I work at Software One I’m responsible for. Um, in my sales role, I’m responsible for our channel and digital sales organization in North America. [00:02:00] Shannon Sigmon: And then I also have, um, responsibility supporting Regina Ma and Freddie and our leadership team as the chief of staff. Um, and we’re focused software one, if you haven’t worked with us before, we’re focused on helping, um, helping our customers and partners deliver real financial impact in their business so they can afford some of the, the cool to do some of the cool stuff you were talking about in the earlier session. [00:02:20] Shannon Sigmon: And it’s, for us, it’s really about coming in on the front end and helping, um, our customers and our partners understand what they’re doing in their software stack, their cloud stack, and then how to, um, optimize that, rationalize the strategy and, and the implementation of of solutions. [00:02:36] Vince Menzione: And a global leader in the marketplace in [00:02:38] Shannon Sigmon: That’s right. [00:02:39] Shannon Sigmon: The, the number one Microsofts, um, we [00:02:41] Vince Menzione: used to say re reseller or ls. We used to all these different, [00:02:44] Shannon Sigmon: yeah. We, um, it’s funny, I was speaking last night. We fall into the scale solution provider. We’re d with Google and AWS. But, um, we operate very differently on the, on the North America market as a more of a boutique, uh, personalized experience than what a traditional dity is. [00:02:59] Shannon Sigmon: I’m less about the transaction and more about the impact and the, the outcomes and, and helping partners with their go-to-market strategy. [00:03:07] ——-: Awesome. Yeah. And sitting next to you, Marc I’ll let you introduce yourself ’cause this kind of ties in very nicely in [00:03:13] Marc Harpster: Yeah. [00:03:13] ——-: In terms of the work you do. [00:03:14] Marc Harpster: Uh, thanks Vince. [00:03:15] Marc Harpster: Uh, hi everyone. I’m Mark Harpster. I am part of the Google Cloud Marketplace organization. So, uh, guy who you just heard from on the last panel is my boss. Uh, I run strategic initiatives within the marketplace team. So this includes our channel program. Uh, so everyone who is. Uh, the partners who like to resell, uh, ISV software out our marketplace. [00:03:38] Marc Harpster: Uh, I have a team who works with, uh, all of you, and that includes distribution. Uh, and uh, then I also, we run, um, the, some of our, like the go to market strategic initiatives. So we have a. Uh, customer credit program that ISVs can take advantage of to help incentivize deals going through marketplace, uh, propensity to buy, uh, data that we can share. [00:04:02] Marc Harpster: Mm-hmm. Uh, a number of different programs along those lines. Uh, basically, uh, we’re we’re helping. You know, customers find the solutions that they want to buy and helping them buy from the who they wanna buy from. [00:04:14] ——-: Yeah. And you were out early. I mean, you’ve been in the, the, I I feel like Google was leaned in very early on the channel. [00:04:20] Marc Harpster: Yeah. [00:04:20] ——-: And it was a couple years now, right? [00:04:22] Marc Harpster: Yeah. I joined Google about two and a half years ago. Uh, I was, you know, at, at another, worked for another cloud marketplace before that. So I’ve, I’ve been in the marketplace space for, uh, over a decade now. Uh, I’m really passionate about it. And with the, to touch on your point, Vince, I think the one key advantage of Google is, you know, within the, our channel partners, uh, we have a huge, uh, partner network, uh, of, of, you know, channel resellers and, uh, system integrators. [00:04:52] Marc Harpster: Uh, and we actively want those channel partners to, you know, own the customer relationship, including all of the billing. Uh, channel partners tend to love this because we’re the only cloud marketplace that really supports sort of the ability to recognize top line revenue for the channel partners. Uh, and so that’s been a real, uh, you know, distinguishing factor. [00:05:11] Marc Harpster: And one thing I’m really excited about within our marketplace. [00:05:14] Vince Menzione: You got it right. Awesome, Jeff. Good to see you, sir. [00:05:17] Vince Menzione: Good to see you. Thank you. Thank you for having [00:05:19] Jeff Mesnik: me. Good to have you. [00:05:20] Vince Menzione: Yeah. [00:05:21] Vince Menzione: Tell us a little bit about your organization, about content amx. [00:05:24] Jeff Mesnik: Well, I’m honored to be here with, uh, these two. Yeah. [00:05:27] Jeff Mesnik: You know, and, and Vince obviously [00:05:29] Vince Menzione: Thank you. [00:05:29] Jeff Mesnik: But you know, our organization is really about coming back, and I’m not trying to plug tackle by you saying this, but we’re doing the blocking and tackling for organizations another. [00:05:40] Vince Menzione: That’s why I named the tackle. [00:05:41] Jeff Mesnik: Yeah, I know. It’s, it’s, it’s part of my every conversation now and I have to think about it, but we basically believe in the idea that trust is starting by consistency and expectation. [00:05:55] Jeff Mesnik: So a few years ago I was listening to, um, an event where Tim Couch and, um, Michelle Ragusa, McBain were talking and they said, partners respond to. You meeting and greet, you know, exceeding expectations. So one of those expectations should be consistent messaging to them and consistent messaging for them to send out to their customers. [00:06:15] Jeff Mesnik: And then the next step is that becomes the core of your data analysis, because if you’re not submitting consistent content and submit, you know, consistent information, then you’re not gonna get information back. So that information back then turns into sales opportunities because you’re not looking at. [00:06:34] Jeff Mesnik: Clicks or having a marketing person say, Hey, you know, this person just stopped by my booth. Or Hey, they downloaded a white paper. It’s patterns using AI to analyze and address and look at patterns and turn those patterns into actions. So, you know, we’ve been talking Shannon and Mark and I about those patterns and how to. [00:06:55] Jeff Mesnik: Respond to them to maybe do a co-sell motion if that’s what’s necessary, or to make sure that the partner is ready for the next step. We’re doing a program for Microsoft. Whoops. So we’re doing a program for Microsoft. Do I still have it? [00:07:11] Marc Harpster: Yeah, you’re [00:07:11] Marc Harpster: good. Um, that en enables the partners to learn about AI and then we can understand where they are in their AI path. [00:07:22] Vince Menzione: Awesome. So Shannon, uh, Regina, man. Freddy. Yeah. Also a great friend of, ultimate Partner. Been on stage, was on stage here a couple years ago. We talked about adaptability quotient. Uh, we, we took that, we took that back. Now we use it all the time. And I, you know, I want, I wanna cover with you what that means to your organization. [00:07:40] Vince Menzione: A lot has changed. [00:07:41] Shannon Sigmon: Yes. Still. Yeah. [00:07:42] Vince Menzione: Still changed. Yeah. And you work with multiple hyperscalers, so take us through like, how, how, how does. What is now Software One used to be crayon, now it’s software one Crayon, or it’s just software one. Now let’s talk about all the change and how you’re absorbing it, and then how are you taking it to market and being successful. [00:08:00] Shannon Sigmon: Yeah, it’s interesting. We spent time, gosh, two, three years ago now, um, talking about adaptability being the next superpower [00:08:07] Vince Menzione: Yeah. [00:08:07] Shannon Sigmon: Uh, of workforce, right? That it wasn’t just about having the experience, but with the rate at which. The pace at which change was happening, having, uh, uh, employees foundationally focused on curiosity and learning and con constant development. [00:08:23] Shannon Sigmon: Um, and my goodness, uh, this year alone, right? We we’re. We, it’s hard to keep up. Right? So this idea of creating a full three to five year plan, we’re, we’re creating sprints plans. Yes. Right. And sprint strategies. And so I do think when we look at our integration of the two companies as Crayon and Software one come together globally, um, that has been a critical mass. [00:08:47] Shannon Sigmon: Uh, issue for us to overcome, but also to get our employee base one feeling comfortable with the pace of change because it can, for those people who are, are not change agents, it can be really uncomfortable and, and stress inducing. Um, but also giving them space to, to try things, fail fast and learn from it. [00:09:07] Shannon Sigmon: And. Um, it, it, it infuses that adaptability quotient, infuses entrepreneurial spirit within the organization a bit. Um, but it has become, it is the superpower of the next generation is how, how quickly can you adapt to change, but not just adapt to it as it’s coming, but stay ahead of it, um, and stay ahead of what’s happening in the industry through communities like this so that you’re skating towards the puck, not waiting for the puck to hit you in between the eyeballs. [00:09:34] Vince Menzione: Yeah. How long are these sprint. I can’t even imagine doing a three-year plan any, any longer. Right. [00:09:39] Shannon Sigmon: I mean, we, there’s some intentionality behind it for us. So my, um, partner in crime, Sean, uh, er, who leads our rev ops, uh, function in North America, we, we sprint pretty fast. So we do leadership offsite every three months. [00:09:52] Shannon Sigmon: Um, and it’s not like it does, we don’t sit in a meeting conference room like this quite often. There’s. We’re running an Airbnb and we’re living and breathing and talking and tumbling rocks together in a real productive way. Um, and it forces our leadership team to not just work at an operational level, but like really down in the trenches at a personal level together to solve problems for our people. [00:10:15] Shannon Sigmon: For our culture, for our business future. And I think that has helped us stay ahead of what’s coming at us from both the hyperscaler community, from the economy, uh, and global, some of the global trends that we’re seeing. It helps us stay ahead of that. And I mean, as leaders, we can, we can conflict and, and, uh, debate in a closed, safe space to get to work through some of that. [00:10:38] Vince Menzione: Mark, what are you seeing? I mean, we were just talking to D about all the significant advances Yeah. In your organization and you work with all these amazing top resellers in the industry. Mm-hmm. Uh, Tony Voya is an old friend of mine’s. Been on the podcast a hundred times. Yeah. Ran another organization’s one of [00:10:54] Marc Harpster: Yeah. [00:10:54] Vince Menzione: Also one of the large, yeah. [00:10:57] Marc Harpster: Yeah. Tony’s great. Um, it’s interesting you mentioned working in sprints. We, we ourselves are even adapting into sort of the notion of like. What are you doing in the next a hundred days? [00:11:07] Vince Menzione: Mm-hmm. [00:11:07] Marc Harpster: Right? You can’t, that six months, a year is too long. It’s too long. So, you know, that’s just internally, uh, within Google Cloud. [00:11:14] Marc Harpster: But, uh, our, you know, I see this across, if, if we go back a decade ago, uh, you know, ISVs had to learn how to change to, to just to, to list a PayGo product in a marketplace. [00:11:28] Vince Menzione: Yeah. Yeah. [00:11:28] Marc Harpster: Right. A whole new business model. Uh, and then, then we. Introduced the notion of like, Hey, it doesn’t have to just be pay, right? [00:11:36] Marc Harpster: It’s, yeah. Now we’re going to introduce the concept of a private offer, right? And how does that work? Right? And so you heard a lot of, uh, insights in the last panel about some of the changes you need to make to your sales organization and how do you adapt to that, right? And then there’s the change of like, well, what about the channel partners? [00:11:52] Marc Harpster: Right? Yeah. So every channel partner. Uh, in that I’ve been working with for the last eight, nine years, make the pivot to like, oh, we still have a place here. We have all these customer relationships and connections and hey, we can sell these things too. Right? But they have to figure out how the channel private offers feature works, right? [00:12:10] Marc Harpster: Um, distribution. Right. Then suddenly we’re, we’re, we’re bringing distributors back into the cloud marketplace world, you know, and they’re actually pushing us for like brand new things, like, Hey, we wanna, we want more APIs, right? And so I, I’ve seen. The entire community of partners. Be, be able to adapt to meet the customer where they are. [00:12:30] Marc Harpster: Right. And, and take advantage of the customer benefits of buying through marketplaces. And so now we’ve got another, another moment of great change, right? As we head kind of into the agent age. And every one of us is gonna have to, to be adaptable again. Yeah. And I think the notion of like. Whatcha gonna do in the next a hundred days? [00:12:47] Marc Harpster: Or like, what, what, what is the first thing that we, what are our priorities? How do we focus on, this is going to be key, right? ISVs need to, to understand, hey, how do, how do agents change the way we, uh, allow customers to access our tools and our software? Right? Uh, the channel needs to then understand like, well, what are we reselling agents? [00:13:07] Marc Harpster: Are we creating our own agents? Yes. Like, how does this change us? Right? And so it’s across the board, uh, and it’s gonna be a really. Fun, you know, rest next few months. [00:13:16] Vince Menzione: What are you seeing with regards to that? I was thinking about that as well. Like does the ISV create the agent or does the, the, the, the channel partner, the reseller, the Gs, I mean the GSIs [00:13:25] Marc Harpster: are involved here as well. [00:13:26] Marc Harpster: Certainly are, are, are, you know, I think DI mentioned this in the last panel. They, they’re, they’re creating agents, uh, you know, all over the place right now. But a lot of ISVs are as well. They recognize that they need to adapt. Right. And so I think we’re getting. Um, we’re getting really good participation, uh, from. [00:13:46] Marc Harpster: All sorts of partners and even, you know, the, the kind of traditional, uh, like what I call a reseller, they’re starting to figure it out as well. Right? Like, do I need to list my own agent? How do I do that? Right. And they’re coming to us seeking some guidance right now. Yeah. Are [00:14:01] Vince Menzione: you? [00:14:01] Shannon Sigmon: Yeah, I mean, I think we look at ourselves as customers. [00:14:03] Shannon Sigmon: You already heard that yesterday. Yeah. A lot on, from some of the Microsoft community. Um, we we’re starting to see pockets and um, we’re, we’re actually running our own company-wide hackathon in June. Um, specifically to intersect with copilot, Gemini, Claude, how do we get our teams on the ground level? Um, I loved what was said earlier, but it’s gotta be a, a bottoms up, tops down approach. [00:14:28] Shannon Sigmon: And the good thing for us is we have leadership support at the top down on, on the tinkering, on the learning, on the implementation. And now we’re working to build the skillset from the bottom up so that we can take some of those use cases to our customers and our partners and, and start to learn and adopt along the way. [00:14:45] Vince Menzione: So Jeff, you’ve been working with channel partners on the marketing side for many years on their go to market strategies. What are you seeing on your side of this aq? Or how are, how is AQ being absorbed and how are you thinking about this new world that we’re living in today? [00:14:58] Jeff Mesnik: Yeah, I mean, I think, you know, we work with 10,000 different types of channel partners and whether it’s through education or passing through and driving demand for them, and what we’re finding is there’s a little bit sometimes also a whiplash. [00:15:12] Jeff Mesnik: I mean, it’s like first it’s like, okay, we gotta go to the marketplace. Now we have ai, and now, oh wait, there’s these ISVs that can add value on top, and how do I do it together? So. Well, we’re, when we’re talking to these partners, we are trying to learn from the customers also who are bringing, because they’re adjusting their, you know, notions like, right? [00:15:34] Jeff Mesnik: You know, Shannon, you’re doing it every three months, [00:15:36] Shannon Sigmon: right? [00:15:36] Jeff Mesnik: So these poor partners, right? They’re trying to communicate and engage and work with the customer, and then all of a sudden it changes on a dime. So you need to have that instantaneous access to the. Information about what a customer is researching, what they’re doing, what they’re most interested in, and that’s really the important part to help with the, you know, adaptability quotient for these partners. [00:16:00] Vince Menzione: Yeah. [00:16:00] Jeff Mesnik: And for them to learn, they have to be pushed into it through a customer. Not just pushed into it from the vendor’s perspective. Also on the distributors are saying, Hey, let’s you know, go to my marketplace. Don’t go to Google’s marketplace. We are, we are Google’s marketplace. And it’s very, it can be very confusing. [00:16:18] Jeff Mesnik: So using AI you can understand what the customer’s needs are. You can enrich it by pulling in data from the different sources of information, whether it’s a CRM system or third party piece, and then use AI to actually define the next step that each partner can take so that they’re adapting faster and their sales team understands what to do next, and then go through some micro learnings or whatever it might be. [00:16:44] Jeff Mesnik: Mm-hmm. I love that. [00:16:45] Shannon Sigmon: Yeah. Yeah, and I was gonna say, Jeff and I are actually working together on a pilot. One of the things, and Vince, we talked about it, um, our teams internally are so consumed with the integration. [00:16:56] Vince Menzione: Yeah. [00:16:56] Shannon Sigmon: I was scared. There’s a lot of work going on behind the scenes. We pulled the plug really early on, at least getting our frontline sales force integrated last year. [00:17:04] Shannon Sigmon: So, at least to the market and to our customer and partner community, we were one company, but there’s a lot of system integration that’s still to come. And so, um, we, we’ve been partnered with Jeff and, and the content MX team because, um, a part of our cycles of getting our message out to market to our partners and helping them with their customer messaging is just the nurturing, the insights and leading the customer, leading the sellers through that sales Next. [00:17:27] Shannon Sigmon: Best step conversation. And so we’re, um, we’ll leverage some of the, the tools and the resources that that Jeff’s team is bringing to bear for us, because our marketing team has got integration work to go do. We’ve got rebranding and new websites to build and new processes to implement. And so for us that adaptability means realizing we can’t do it all ourselves. [00:17:48] Shannon Sigmon: And so we leveraged this community to connect with partners in the ecosystem who can help us. With our own solutioning of, of how we go to market and making sure we’re not missing the beat in those a hundred day sprints. [00:18:00] Vince Menzione: And you’re truly global. That’s right. As an organization. Right. So Switzerland is now the new headquarters that is right. [00:18:05] Vince Menzione: Nor was it Norway before and [00:18:06] Shannon Sigmon: yeah. [00:18:07] Vince Menzione: And then of course you’ve got the Americas [00:18:09] Vince Menzione: and [00:18:09] Shannon Sigmon: Yeah, we have our headquarter office here in Milwaukee and they’ve got a digital sales hub in Nashville, Tennessee. [00:18:13] Vince Menzione: Yeah. So. Bringing all those resources and then having all these people that have to adapt to change and then drive and go to market. [00:18:20] Shannon Sigmon: Yeah. [00:18:20] Vince Menzione: On top of that, [00:18:21] Shannon Sigmon: look, it just allows us to focus on what matters most, which is our customers, our partners, and our people. Um, and so leveraging our partner community, leveraging this network of folks that you’ve built helps us. We’ll continue to focus our team on the things that matter most for driving the business our results. [00:18:38] Shannon Sigmon: Um, we just announced earlier this week we had a bang up, um, Q1 and looking forward to that momentum carrying through the rest of the year. And, and it’s because of the partnerships and, and helping us to, to manage that adapt adaption of our business, um, going forward. [00:18:54] Vince Menzione: Mark, anything else from your side? [00:18:56] Marc Harpster: Uh, I just, I, I think, you know, platforms like yours are, are super exciting to me, and there’s a number of them that we’ve heard from over the last couple days. [00:19:06] Marc Harpster: You, you help all of us, every partner in the room, including the hyperscalers, you know, meet the customer where they are. And I think that’s increasingly important because as complicated as it’s for all of us to figure this out, it still has to be the customers at the center of it all. Right? And so we need to meet ’em where they are. [00:19:22] Vince Menzione: So what does real AI credibility look like for those partners? [00:19:27] Marc Harpster: Yeah, it’s, it’s a great question. Um, you know, it’s, it’s, uh, I’m fortunate to, to get to be at Google right now and we have, uh, uh, you know, we’re obviously working on a lot of things. Um, you know, we’ve been talking a lot about agents and, and, uh, you know. [00:19:45] Marc Harpster: What does it mean to, to listen agent and what’s that gonna do for the customer? Um, you know, I think it, it’s, it’s gonna have a big impact on how we co-sell. Right. I think we touched a little bit on this in the last panel. Uh, I think that, um, you know, customers, uh, are going to find their way to agents and it’s a different type of customer who’s gonna find it. [00:20:08] Vince Menzione: Yeah. [00:20:08] Marc Harpster: Uh, and I think that, you know, this opens up a real opportunity. Uh, for us to, you know, us as hyperscalers in the marketplace, to, um, kind of flip how things have been. Where traditionally it’s like, oh, you know, the ISV or, or the channel reseller sources the deal, and then we’re gonna register a deal in the, in the CRM, it’s gonna go over to, uh, you know, the, the, the hyperscaler CRM and then the sales rep’s gonna get involved. [00:20:34] Marc Harpster: I mean, that stuff is still gonna happen, still gonna be important, but now customers are gonna find their way to agents and now it’s, oh. The marketplace. [00:20:43] Vince Menzione: Yeah. [00:20:43] Marc Harpster: To get that information back out. Right. Or maybe they’re finding the content through a platform like Jeff’s, uh, and they go try something out and suddenly that’s the signal. [00:20:53] Marc Harpster: Right? And so we need to find a way to communicate that, I think a little more nimbly than we have in the past. Um, you know, so that’s a really big one. Um, and I think that like, uh, you know. The next, the next decade is really gonna be like, a little bit like the last decade was, uh, just as you know, in the last decade, really all these, all of the businesses that, you know, all of you guys in this room found a way to grow these astounding businesses, you know, in cloud. [00:21:21] Marc Harpster: And now I get to do the whole thing again in, you know, in the age of AI and agents. So I’m super excited for it. [00:21:27] Vince Menzione: Well, it, I think about SEO and product-led growth, almost like, oh, the agent’s gonna discover mm-hmm. Yeah. The solution in the marketplace, right? [00:21:35] Marc Harpster: Yeah. [00:21:35] Vince Menzione: So how do you think about go-to market strategies around that, right? [00:21:39] Vince Menzione: Yeah. ’cause, ’cause marketing changes dramatically, [00:21:41] Marc Harpster: right? [00:21:42] Vince Menzione: We were talking about that yesterday. [00:21:43] Marc Harpster: Yeah. Like when the agent is the one, finding [00:21:45] Vince Menzione: the agent is the one finding it, and it, it better be able to find it. ’cause then it’s gonna go search other places if it doesn’t. Yep. As if it’s not discoverable. [00:21:52] Vince Menzione: I think we all get to figure that out together. [00:21:54] Vince Menzione: Right. [00:21:54] Vince Menzione: Jeff, you’re, you’re the go-to-market expert, [00:21:57] Jeff Mesnik: I mean, [00:21:57] Vince Menzione: in the panel here. So how do you think about that? [00:22:00] Jeff Mesnik: We think about it the same way, kind of in your video, right? Yeah. Where it’s basically there’s a few ways that you need to be, um, reaching out so that you’re discovered by the AI agent. [00:22:10] Vince Menzione: Yeah. [00:22:10] Jeff Mesnik: So exactly the, you know, for example, you, you know, people here we are all writing white papers and case studies and, you know, doing all that work. [00:22:18] Jeff Mesnik: But what really triggers it is when you create more content from that one piece. So that’s more interactive. So for example, like, you know, you guys were talking about the short, the video shorts. [00:22:29] Shannon Sigmon: Yeah. [00:22:29] Jeff Mesnik: You can instantaneously, like we have a system that’s connected that instantaneously creates these video shorts from the PDF. [00:22:36] Jeff Mesnik: Or some of you may have seen I created a trivia night, which is an interactive element, so it enables people to then share and engage, and that starts to have, you know, some effect with the SEO, which is now. AI agents who are looking out to see, okay, what are the responses? What are the other people saying? [00:22:57] Jeff Mesnik: You’re spearheading that motion. [00:23:00] Jeff Mesnik: Yeah. [00:23:00] Jeff Mesnik: And then as you said, kind of the, kind of the triggers or the, you know, the, for the data insights that come back mm-hmm. From that are the ones that can trigger a co-sell motion where you’re working together with. Other partners you can be, you know, if you’re a vendor and you use us and you see that information, then maybe partner tap comes in and you can basically find which partner is the right one, and the systems can then target and have a co-sell motion together. [00:23:27] Jeff Mesnik: Yeah. [00:23:27] Jeff Mesnik: Right. So that’s the power that’s available now. [00:23:30] Vince Menzione: Yeah. Shannon, you mentioned about skating where the puck is going. Yeah. Famous. What, by the way, Wayne Gretzky lives in Jupiter, Florida. For those who dunno, uh, all the famous athletes, but of course that’s his, his quote. [00:23:42] Vince Menzione: And Joe Namath. Right. [00:23:43] Vince Menzione: And Joe NamUs. [00:23:44] Vince Menzione: Yeah, he’s in the, he’s in that one picture though slide. I have. Let’s talk about that a little bit. ’cause you, you’re navigating quite a bit of change. One of the most trusted resellers in the market working with the hyperscalers. Tell us how you’re adapting to that puck, where that puck is going. [00:24:01] Shannon Sigmon: Yeah, I, I think one of the things that we encourage and we talk about it, we, um, have a regular standing, uh, meeting where we talk about going out in the wild. [00:24:09] Shannon Sigmon: And so I think the, the most important thing that I would leave you all with and something that we are, um, fostering and learning along the way too, is your people in this whole A-E-O-G-E-O world. Your people have to have an opinion. It’s not just enough for them to share the content, click on the content, read the content, but they have to show up with a perspective or an opinion. [00:24:30] Shannon Sigmon: I don’t, I don’t need to be Jay McBain, but my goodness, I’m gonna follow him. I’m gonna learn from him, and I’m gonna share some of the learnings that I read from him because. He’s doing the work and, and getting the research together for us. But it is important that they do that and the, and the learning and adapting to where the puck is going, doesn’t happen behind a pane of glass. [00:24:47] Shannon Sigmon: They have to be out in front of it, in front of their customers, in front of partners, having a cup of coffee down the street with the neighbors. Because everybody is now consuming information in a much more personal way. It’s not, uh, just a corporate feed, uh, trough of AI slop that, um, somebody I was at an event last week they talked about, but to, to really understand it, to know it to be customer zero. [00:25:13] Shannon Sigmon: You have to be in it. And that doesn’t happen behind the pane of glass. So I would say that was probably the first one. And I think, um, one of the things that, uh, sparked, you know, a fire yesterday for me, Vince, was just really this conversation around the marketplace. Um, and especially in our, our, our community and what we do is how do we, this convergence of SaaS. [00:25:34] Shannon Sigmon: This convergence of consumption in the marketplace. Um, how do we as resellers help our customers optimize how they procure, um, their software in a much more modern way, um, and manage that along, along this journey so that they can take advantage of things coming up in ai. But I think those are like the two. [00:25:53] Shannon Sigmon: The one thing is just being curious, getting out in front of it and building your perspective. And you don’t have to be the smartest person in the room, but you do need an opinion. Um. And then showing up at events like this so that you can learn. [00:26:06] Vince Menzione: So Mark, uh, largest go to market shifts happening. I mean, the, the, the, the growth is astounding. [00:26:12] Vince Menzione: What about from your perspective? [00:26:14] Marc Harpster: Yeah, I think, um, you know, how you go to market, uh, in, in this new age is gonna change based on the type of partner that you are, right? Uh, if you’re an AI native startup, then you know that is your go to market. Like, like the AI is who you are, right? It’s part of your identity. [00:26:35] Marc Harpster: Versus if you’re a a, you know, a, a, an incumbent, a, a large ISV, you need to figure out how to wrap AI around your existing solutions, right? Mm-hmm. But if you may have a SaaS solution, and now do you have agents that are talking to that SaaS solution? You know, and are you building that? Where are you building that? [00:26:50] Marc Harpster: How are you running it? And how are you partnering with, you know, the hyperscalers? Uh, how are you partnering? You know, it could be, uh, philanthropic or open ai, right? Mm-hmm. Like we all have to, you know, you have to think about. How each of these different types of partners can help you go to market, right? [00:27:08] Marc Harpster: And really come up with that strategy. [00:27:13] Vince Menzione: Former. Any comments on that? [00:27:14] Jeff Mesnik: Yeah, well, I mean, I’ll just add, I, I just was thinking about this, uh, I’m gonna butcher this Bueller quote, but things are changing really fast, and you gotta take a moment to listen and understand what’s going on out there. So the data coming in is always going to drive everything else that you do. [00:27:30] Jeff Mesnik: So I butchered that quote, but imagine I said it right? [00:27:33] Vince Menzione: Yeah. I, I love Shannon, what you said it, and I’ll. Paraphrase it. The analog is the new digital. [00:27:42] Shannon Sigmon: It is, yeah. [00:27:43] Vince Menzione: Because we need rooms like this. We need to be in the room with other listen experts like [00:27:48] Shannon Sigmon: yourselves. Yeah. I mean, I say quite often human connection still matters, and at the end of the day, people are gonna use AI tools to do the research, to find the information, to surface the video training, but they’re not gonna make the decision until they know the person they’re buying from. [00:28:03] Shannon Sigmon: Yeah. And so that whole adage of people buy from people they like and trust. Is even more important in this, in this day and age. Yeah. [00:28:12] Vince Menzione: Any last comments or go tos for the, for this community? In front of us today. [00:28:17] Jeff Mesnik: I’ll just say that because of this community, you know, Shannon and I met, so we have yeah. [00:28:21] Jeff Mesnik: Great business that we’re gonna be doing together and I met the team at ISSI and we’ve got a great partnership that’s brewing. And, you know, I’m looking forward to other, you know, people that I’ve met here, um, Andrew who’s out there. Um, we’re gonna do some work together. So thank you, Vince. Thank you. I mean, this community has really been fabulous for me personally and for my business. [00:28:39] Jeff Mesnik: It’s been great meeting [00:28:40] Vince Menzione: and I didn’t pay you to say that, by the way. [00:28:42] Jeff Mesnik: No, I paid you. [00:28:44] Vince Menzione: That’s right. You did. You. Okay. Well, alright, mark, anything, any last comments from [00:28:52] Marc Harpster: Yeah. You know, um, don’t be afraid of the change, right? Like, if you have that hour a week, just go play around with play, play with all of the different, uh, AI. [00:29:02] Marc Harpster: Technologies that are out there, right. And just, uh, get to know them, right? The more comfortable you are with them, the easier this whole thing’s gonna be. So dedicate an hour a week, just go, you know, and that’s your time to, to learn how these things work, right? So [00:29:15] Vince Menzione: yeah, [00:29:15] Marc Harpster: I say don’t be afraid of it. [00:29:16] Vince Menzione: Awesome. [00:29:17] Vince Menzione: Yeah. Thank you so much. What a great panel. Great conversation. What do you think? Everyone? Thank you. Thank you so much. [00:29:25] Vince Menzione: Thanks for listening to the Ultimate Partner Podcast. If today’s conversation resonated. Share it with a [00:29:31] Vince Menzione: partner leader in your network. Subscribe where you listen, and head over to the Ultimate partner.com for show notes related content and the resources for this episode. [00:29:42] Vince Menzione: And if you haven’t already, now’s the time to register for the Ultimate Partner Live event in Reston, Virginia, October 26th through October 28th. Until next time, keep showing up in the rooms that matter because being in the room changes everything.

In today's Cloud Wars Minute, I look at how Google Cloud is expanding the Gemini ecosystem into the automotive world through its partnership with Mahindra. Highlights 00:03 — Google Cloud is partnering with the Indian automobile manufacturer Mahindra to get Gemini Enterprise installed directly into its vehicles. That's another interesting example that we're seeing here of AI leaping out of the digital space and becoming something much more physical. 00:23 — In this new development, the automotive agent in Gemini Enterprise is being integrated into MAIA, Mahindra's Artificial Intelligence Architecture platform. Beyond being a voice assistant, Gemini can understand natural language requests and actually interact with a car and its functions. 00:41 — Sashi Sreedharan, Managing Director of Google Cloud India, explained that "by enhancing its in-vehicle assistant with an automotive agent built on Gemini Enterprise, Mahindra is creating personalized and helpful conversational interactions for navigation, search, media communication, and other vehicle controls that will help drivers navigate and explore rich features in a more natural and helpful way." 01:13 — What we're seeing here is pretty significant: AI operating at the edge, with this idea of the digital and physical working together, and the car becoming the AI endpoint. This is also a really important way for Google Cloud to expand the Gemini ecosystem beyond smartphones, PCs, and enterprise software. 01:37 — The real opportunity that I see here isn't necessarily about Gemini as an AI assistant, but where the tech is embedded; it's those all-important endpoints. Visit Cloud Wars for more.

In this episode, Andrew McNamara, VP of Applied ML at Shopify, returns to unpack how much has changed in agentic commerce since his last episode. Andrew and Liam dig into why agents are becoming "the new front door to commerce," why orders coming to Shopify stores from AI are up 13x, and what's actually happening inside Shopify's personalized shopping agent in the Shop app. They also get into the Universal Commerce Protocol (UCP) and why AI commerce is growing 9x faster than social commerce did at the same stage, how Sidekick's architecture and app extensions work, and SimGym, Shopify's system for training AI shoppers to A/B test store changes before they ever reach a real customer. Key Topics Covered How shopping is shifting from stores and desktops toward agents as "the new front door to commerce" Why orders coming to Shopify stores from AI are up 13x, and why catalog-powered AI search converts twice as well as general AI search Inside Shop app's personalized shopping agent, and how it learns different shopping personas (like shopping for a pet versus a child) Why customers are shifting from keyword searches to natural language queries, and the higher conversion rates that come with it Why Shopify keeps shopping data personalized to the individual user rather than training it into a larger internal model What the Universal Commerce Protocol (UCP) is, and why AI commerce is growing 9x faster than social commerce and 3x faster than mobile did at the same stage The story of Shopify's CEO giving his own Hermes agent a budget so it can send him gifts in the mail Sidekick's app extensions, and how partners like Klaviyo and Loop plugged in at launch Campaign Autopilot's "auto research loop," and its parallels to reinforcement learning SimGym, and how Shopify trains AI shoppers to A/B test store changes before running them on real customers Why Sidekick runs on Anthropic's Sonnet model hosted on Google Cloud, and why that choice is model agnostic Andrew's own habit of shopping by taking pictures throughout the week and searching by image through UCP-connected agents Episode Timestamps: 00:00 - Introduction and welcome 00:29 - What's changed in AI and shopping since their last conversation 01:47 - Agents becoming "the new front door to commerce" 04:16 - Inside Shop app's personalized shopping agent 07:32 - Why data stays personalized to each shopper instead of training a larger model 11:53 - What the Universal Commerce Protocol (UCP) is, and orders from AI up 13x 14:58 - Merchant tooling for tracking AI-driven traffic and conversions 15:55 - The story of Tobi's Hermes agent sending him gifts in the mail 20:48 - Andrew's own habit of shopping by taking pictures and searching by image 26:59 - Sidekick's app extensions and partner integrations 33:02 - Inside Sidekick's architecture: the Sonnet model and knowledge base 35:18 - Campaign Autopilot's auto research loop 38:58 - SimGym: training AI shoppers to test store changes 42:23 - What's next for Shopify's agentic commerce features 44:17 - Where to find Andrew Andrew's Socials: Twitter (X) - https://x.com/DrewCH LinkedIn: https://www.linkedin.com/in/andrewmcnamara1/ Partner Links Upgrade your AI toolkit: https://www.theaireport.ai/ai-executive-pass Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe Join the community: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH Learn more about your ad choices. Visit megaphone.fm/adchoices

In today's Cloud Wars Minute, I examine why the emerging Google Cloud and Oracle alliance could reshape how enterprises accelerate their AI transformations. Highlights 00:01 — Interesting to see some new and different combinations of partners moving forward here in the AI Revolution, because the pace at which customers have to move, their escalating business, competitive pressures, their new technology requirements, and just the urgency they're all feeling to innovate, move into their AI transformations as quickly as possible, is leading to some unexpected combinations of companies and new sorts of enhanced partnerships. 00:33 — So, I think a real power pair that is emerging are the number one and number two companies on the Cloud Wars Top 10, Google Cloud and Oracle, and I think they're coming together. Each has sort of put forward into the mix, not some peripheral products they have, but really, in each case, sort of the crown jewels for what's happening right now. 01:26 — Google Cloud for Q2 had revenue of almost $25 billion, up a remarkable 82%. Meanwhile, its backlog soared 390% to $514 billion. Oracle, for the quarter ended May 31 — and it'll have its new numbers out in a couple of weeks — but for the quarter ended May 31, its fiscal Q4, its cloud revenue was almost $10 billion, up 47%. 02:50 — So, really, each company has put forward the very best it has to offer in this new and extended partnership. And again, I think we're going to see more and more of these sorts of groundbreaking, unprecedented, or certainly unexpected partnerships going forward, because what customers want and need now is changing so rapidly. 03:47 — So, this is a great, great new step forward for customers. And again, I think we're seeing lots of different combinations among the Cloud Wars Top 10 companies. So, these partnerships, alliances, whatever you want to call them, they're more important than ever before. Visit Cloud Wars for more.

AI has moved beyond chatbots. The next wave is agents, and they're already reshaping how small businesses operate. In this episode, Gene Marks talks with Google's Mike Clark, Director of Product Management, Agent Platform at Google Cloud, about what AI agents actually are and how to put them to work. They cover the shift from generative AI to agents, why your website needs to be ready for the agentic web, real use cases from deep research to inventory reordering, and how to build trust with AI as you scale. Want to start experimenting like Mike suggests? Grab our free AI & Automation Toolkit to find your biggest automation opportunity: https://bit.ly/4yaSarA Simplify your business operations. Learn how Paychex can handle your HR and payroll so you can focus on what counts: https://bit.ly/3VtM6bs Have a topic idea? Share it at https://payx.me/thrivetopics Topics include: 00:00 – Episode preview and guest introduction 01:12 – Meet Mike Clark 04:02 – What is an AI agent? 07:32 – The agentic web and why websites must change 14:10 – Overview of the Google Cloud agent platform 18:32 – Small business agent use cases 23:15 – Can you trust agents with critical decisions? 26:35 – Privacy concerns and choosing your AI platform & ecosystem 31:00 – Final advice to small businesses 32:13 – Wrap up and thank you #BusinessPodcast #Entrepreneurship #SmallBusiness #iHeartRadio #ApplePodcastTips #SpotifyPodcasts DISCLAIMER: The information presented in this podcast, and that is further provided by the presenter, should not be considered legal or accounting advice, and should not substitute for legal, accounting, or other professional advice in which the facts and circumstances may warrant. We encourage you to consult legal counsel as it pertains to your own unique situation(s) and/or with any specific legal questions you may have.

We've launched Minimum Competence CLE, and our first course is now available completely free. Researching Federal Tax Issues After Loper Brightlooks at how the Supreme Court's decision ending Chevron deference changes the way lawyers should research and evaluate Treasury regulations, IRS guidance, and other federal tax authorities.Take the course and earn CLE credit at cle.minimumcomp.com.This Day in Legal History: The National Park Service Is CreatedOn August 25, 1916, President Woodrow Wilson signed the National Park Service Organic Act, creating a new federal bureau inside the Department of the Interior to manage the country's national parks and monuments. Before this, the roughly 35 parks and monuments the government had accumulated were administered in a haphazard, piecemeal way—some by the Army, some by scattered Interior officials—with no unified mission and no consistent protection.The genius of the Organic Act is compressed into a single, oft-quoted sentence that has generated a century of law and litigation. It directed the new Park Service to “conserve the scenery and the natural and historic objects and the wild life therein” and to “leave them unimpaired for the enjoyment of future generations.” That phrasing contains a built-in tension that lawyers and the courts have wrestled with ever since: the Park Service is told both to provide for the public's enjoyment of the parks and to leave them unimpaired—two goals that can pull hard against each other when you're deciding whether to build a road, permit a concession, or limit the number of visitors. That “dual mandate” is the central puzzle of public-lands law.The significance of August 25, 1916 is that it enshrined in law a genuinely radical idea: that some places belong to the whole public, in perpetuity, held in trust by the government for people who haven't been born yet. Today the Park Service manages more than 400 sites across all fifty states and welcomes hundreds of millions of visitors a year. The writer Wallace Stegner, who gave us today's opening line, called the national parks “the best idea we ever had”—absolutely American, absolutely democratic. On a day whose news is heavy with contested executive power, it's a nice reminder that the law is also the instrument through which a society decides to preserve something for the common good.The Supreme Court has handed the Trump administration an interim victory on mail-in voting—but it's important to be precise about what the Court did and didn't do. In a 6-3 decision along ideological lines, the justices lifted an injunction that a Massachusetts federal judge imposed in June, which had blocked key parts of Trump's executive order restricting mail-in voting in California and 22 other states that sued. That order aims to create a federal list of eligible voters and, controversially, to have the Postal Service deliver ballots only to people on that list. Here's the crucial nuance. This is a stay, not a ruling on the merits—the Court did not decide whether the president actually has the authority to reshape how states run their elections. It merely paused the lower court's block while the litigation continues. And it's partial: the Postal Service's role in the scheme remains blocked nationwide. Justice Sotomayor, in dissent, made the point sharply—she wrote that the decision doesn't suggest the executive branch has any constitutional or statutory authority to do this, it just postpones the day of reckoning. This is the shadow docket in action, a theme we keep returning to: the Court altering the rules for a national election months before that election, through an emergency order, without a full merits decision or a written explanation of its reasoning. The significance is that, for now, parts of Trump's order can take effect for the November midterms—a real-world consequence—even as the fundamental question of whether any of it is lawful remains formally undecided. The status quo the courts had maintained all summer just shifted, at least temporarily, and it shifted on the emergency docket.US Supreme Court lifts judicial hurdle to Trump's mail-in ballot curbs | Reuters Washington Post · NPRThe administration is preparing what would be the largest mass visa revocation in U.S. history: according to the Associated Press, the State Department plans to revoke the tourist and business visas of up to 200,000 foreigners who have applied for or are seeking asylum. The targets are holders of so-called B1 and B2 visas—the standard business and tourism visas—issued between 2016 and 2026, whose holders later sought asylum, with the action coordinated between the State Department and the Department of Homeland Security. The legal logic is worth understanding. A visitor visa rests on a premise: that you intend to come temporarily and then go home. When someone on a tourist visa applies for asylum, the government's position is that they've revealed an intent inconsistent with that temporary-visitor status—so it's moving to strip the visitor visa. Importantly, officials say this wouldn't necessarily mean immediate deportation; most people with pending asylum cases would be recategorized, losing their visitor status but not instantly removed. Still, the scale is staggering and unprecedented, and it raises hard questions. Seeking asylum is a legal right, protected by statute and international obligation, and there's a real tension in penalizing people's immigration status precisely because they used the lawful asylum process. There are also due-process concerns lurking in any mass action that recategorizes 200,000 people, and a potential chilling effect on those weighing whether to come forward and claim protection. The significance is that this fits the aggressive immigration-enforcement pattern we've tracked all summer—but at a scale that's genuinely new, using visa revocation as a lever against the asylum system itself.US plans to revoke up to 200,000 tourism, business visas, AP reports | ReutersWTOP · Houston Public Media / NPRAnd a story close to home for everyone in this profession: Google has launched a version of its Gemini AI built specifically for lawyers. Google Cloud unveiled “Gemini Enterprise for Legal,” an agentic AI platform purpose-built for legal workflows—with specialized skills, connectors to legal research and document systems, and an ecosystem of partner tools. And its launch customers are not fringe experimenters; they're elite firms: Cleary Gottlieb, Freshfields, Weil, and Williams & Connolly. When firms of that caliber sign on as launch partners, it's a signal that AI in legal practice has moved from novelty to infrastructure. Here's the significance, and the tension. On one hand, this is the mainstreaming of AI in law—the same shift that, as we discussed a few weeks ago, is thinning out entry-level hiring at big firms as software absorbs the document review and first-draft work once done by junior associates. Google is now competing directly with the specialized legal-AI companies for that market, and its entry accelerates everything. On the other hand, this collides with a problem we've covered again and again: the fake, hallucinated citations, the AI-generated errors, even the litigant hiding prompt injections in his filings. A more powerful, more deeply integrated AI tool doesn't dissolve a lawyer's duties of competence, confidentiality, and candor—it raises the stakes on them. The significance is that the profession is being reshaped in real time. The tools are getting better and more embedded, the biggest firms are adopting them, and the hard questions—about verification, about who's accountable when the machine is wrong, about what happens to the training pipeline for young lawyers—are all arriving at once.Google expands Gemini AI platform for law firms, lawyers | ReutersArtificial Lawyer · Google CloudAnd finally, in my column for Bloomberg Tax this week, I dig into a big loss for Maryland—and a valuable lesson for every other state eyeing the digital economy for revenue. Maryland's first-in-the-nation digital advertising tax just took a potentially fatal blow, with the state tax court siding with Google, Apple, and Peacock in their challenges. My argument is that this doesn't prove you can't tax digital advertising—it proves Maryland went about it the wrong way, by designing a tax around the companies it wanted to pay rather than the activity it wanted to tax.Two design choices doomed it. First, Maryland taxed digital advertising while leaving comparable non-digital advertising—billboards, print, radio, television—completely alone. Second, the tax only kicks in for companies above a huge global revenue threshold, and the rate actually climbs, from 2.5% up to 10%, based on a company's worldwide revenue, not its Maryland activity. The court saw that for what it was: a structure that, in practice, hits big out-of-state tech companies while sparing basically every in-state business, which runs into both the dormant Commerce Clause and the federal Internet Tax Freedom Act. As I put it, using worldwide corporate revenue to set the rate on identical in-state transactions is just a backward way of making big companies pay more—two companies doing the exact same amount of business in Maryland can end up with wildly different bills.There's also a cautionary detail I love, because it says everything: Maryland passed this tax in 2021, but by 2025 the state comptroller had to hire an outside expert just to figure out what “digital advertising services” even means—introducing terms like “programmatic” and “visual” that weren't in the statute at all. If you need to hire an expert four years after enactment to ascertain what your own tax taxes, maybe the problem isn't that taxpayers are being difficult. And the fiscal stakes are real: the tax pulled in about $535 million earmarked for education, but now the challengers may be owed refunds with interest, right as Maryland stares down a multibillion-dollar budget gap. A tax that collects hundreds of millions for a few years and then has to hand it all back, with interest, is quantifiably worse than no tax at all. So my takeaway for states is that the durable path is the boring one—broad tax bases, treat economically similar transactions the same, scale liability to in-state activity. A neutral tax on all advertising would have reached less convenient targets too, including local businesses, and that's exactly the point: a tax principle that only applies when it lands on the politically preferred target isn't much of a principle.Maryland's Digital Ad Tax Defeat Is Teachable Moment for States | Bloomberg Tax This is a public episode. 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Bloomberg reported that AI cloud provider Lambda is in talks to raise a $3 billion pre-IPO round. The financing would precede a potential public listing and reflects the capital intensity of building GPU cloud infrastructure. Lambda provides NVIDIA GPU access in the cloud and sells on-premises systems, serving both on-demand and reserved capacity needs. Pre-IPO capital in this sector is often used to secure chips, expand colocation capacity, and improve networking. Competitors include CoreWeave and large clouds such as AWS, Microsoft Azure, Google Cloud, and Oracle Cloud. Founders are evaluating multi-year reservations, vendor diversification, and transparent pricing as they plan AI compute budgets.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

Manu Mehra is Head of AMER Industries Strategic Deal Pricing at Databricks, with more than 12 years of experience across pricing, product, cloud, and AI, including Google Cloud and Thermo Fisher Scientific. He brings a practical perspective on how AI is changing the way companies think about outcomes, value, platforms, and pricing models. In this episode, Manu explains why traditional pricing models don't neatly fit AI, why outcome-based pricing is compelling but difficult to standardize, and how companies can turn platforms into solutions around specific business problems.  Mark challenges him throughout the conversation, especially on the attribution problem: if AI creates the value, how do you know AI actually caused it?   Why You Have to Check Out Today's Podcast: Learn why AI is pushing pricing toward outcomes. Discover how platforms become solutions customers will pay more for. Understand the attribution and standardization challenges behind AI pricing.   "Pricing cannot be an afterthought. It has to be integrated within the product roadmap." — Manu Mehra   Topics Covered: 01:15 – How an accidental pricing analytics role led Manu to a career spanning product, cloud, AI, sales, finance, and strategic deal pricing. 03:30 – Why Pricing Has to Start With the Product. Why integrating pricing into the product roadmap can create value before launch instead of scrambling for cost-plus pricing afterward. 05:30 – Why AI Breaks Traditional Pricing Models. Why subscription, license, and consumption models don't fully fit AI when thousands of customers can pursue completely different outcomes 08:00 – The Hardest Problem With Outcome-Based Pricing. Why AI outcomes are difficult to standardize across billing, finance, legal, and revenue recognition—and why 10,000 customers could mean 10,000 different outcomes 11:00 – What Actually Counts as an AI Outcome? Manu uses a QBR example where AI can automate 95% of the SQL work, turning hours and effort saved into a measurable form of value. 13:30 – The Attribution Problem: Did AI Really Create the Value? Mark and Manu debate how to determine whether AI actually caused increased revenue, lower costs, or other gains—or simply helped the business get there faster. 16:00 – Platform vs. Solution: What Are You Really Selling? Why a broad platform can have wildly different value depending on the customer's use case—and how platforms can become solutions by solving specific business problems. 19:00 – How to Turn Products Into Business Solutions. Manu explains how compute, data, and AI layers can be combined into packaged solutions instead of being sold as isolated products. 21:30 – How Customer Segmentation Makes AI Pricing Scalable. Why identifying recurring customer patterns can help companies map different business problems to repeatable combinations of SKUs instead of creating a custom solution for every customer. 24:00 – Why AI Companies Use Credits. How credits can create cost predictability, manage backend costs, and give customers flexibility across different AI capabilities. 27:00 – When Credits Make Sense—and When They Don't. Why platform customers may value the flexibility of credits while digital-native customers who already know exactly what they want may have less need for them. 30:00 – The Pricing Advice Manu Wants Leaders to Hear. Why pricing should never be an afterthought and why the industry is moving from cost-plus toward value-based and outcome-based pricing.   Key Takeaways: "The reason is, even though you might be a platform organization or you're selling a platform, but end of the day, you're still trying to solve a customer problem." — Manu Mehra "The tricky thing with outcome is it's very hard to standardize it." — Manu Mehra "Pricing needs to be integrated during the product roadmap." — Manu Mehra   Connect with Manu Mehra: LinkedIn: https://www.linkedin.com/in/manumehra1/   Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving/ Email: mark@impactpricing.com  

Visit Cloud Wars for more.

The TWiST AI Basics series is made possible by Google Cloud! Build context-aware AI workflows using DeepMind models and orchestration tools with Google for Startups' new Startup technical guide on generative media. Get the guide here: https://goo.gle/technical_guide Astrocade is building super-intelligence for the interactive world. Build the future of fun: https://www.astrocade.com/careers Today's show: *Making a video game once required a studio, an engine, and a team of five or more people working for six months. But with Astrocade, users just describe the game they'd like to play and share, and an AI assembles it from minutes, ready to publish to a TikTok-style feed. Still, founder and CEO Amir Sadeghian tell us AI can't actually build a great game all on its own. The magic isn't just in the automation, but the user's creativity and good taste. Amir demos how the app turns simple sentences and descriptions into full video games, explains why frontier models still regress to the mean rather than pushing boundaries, and unpacks how the game's human-in-the-loop workflow can turn even generic ideas into something original and fun. Guest: Amir Sadeghian on X: https://x.com/_amirabs Astrocade: https://www.astrocade.com/ Relevant Links Flappy Bird: https://flappybird.io/ Plants vs. Zombies: https://www.ea.com/ea-studios/popcap/plants-vs-zombies MrBeast on YouTube: https://www.youtube.com/@MrBeast Google's Nano Banana Pro: https://nanabananapro.com/ Timestamps: 0:00 Welcome to AI Basics, presented by Google Cloud 0:44 Amir Sadeghian, CEO of Astrocade joins 1:08 What is Astrocade and how does it work? 2:58 From describing to publishing: the TikTok for games 3:37 Amir's origin story: four continents, one vision 5:11 Why making games used to require years of training 6:46 The watermelon juice theory of product friction 7:35 Taste as the new programming language 14:18 Personalizing games with your own images 15:23 From consumer to prosumer: can you make a living? 16:22 Astrocade's creator fund and new creator economy 17:07 Open roles at Astrocade 18:10 Why play is the most universal human language 19:43 Google Cloud, Gemini, and wrapping up   Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com Check out the TWIST500: https://www.twist500.com Subscribe to This Week in Startups on Apple: https://rb.gy/v19fcp   Follow Lon: X: https://x.com/lons   Follow Jason: X: https://twitter.com/Jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis   Thank you to our partners! Build context-aware AI workflows using DeepMind models and orchestration tools with Google for Startups' new Startup technical guide on generative media. Get the guide here: https://goo.gle/technical_guide Astrocade is building super-intelligence for the interactive world. Build the future of fun: https://www.astrocade.com/careers   Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland   Check out Jason's suite of newsletters: https://substack.com/@calacanis   Follow TWiST: Twitter: https://twitter.com/TWiStartups YouTube: https://www.youtube.com/thisweekin Instagram: https://www.instagram.com/thisweekinstartups TikTok: https://www.tiktok.com/@thisweekinstartups Substack: https://twistartups.substack.com

00:03 — We've had a lot of big numbers come out for Q2 reports. Google Cloud is at 82 percent. AWS growth jumped up to 37 percent. But I have to take a little more time here to dig into what I'm calling the Palantir phenomenon. Here's a company that, over the last three quarters, has seen its growth rate go from 71 percent to 85 percent to 93 percent. 01:12 — What are customers asking Palantir right now to do for them? That may seem like a goofy, simple question. But if you grow at 93%, you have to be doing something special. What is it that customers are asking for, and that Palantir is delivering, that drove this 93% growth? Chad goes into a lot of detail about that and offers some unique insights there. 02:34 — I think that that's still valid, but the bigger issue now around sovereignty is who controls your data, and not only the data, but how that data is being used to drive AI output. Palantir is making the case that the large language model companies are incorporating the data and everything that goes with it into their own models. 03:27 — Finally, we had a fun conversation considering this company that has grown 93%. It is predicting that the U.S. commercial business, for the next year, will grow 134 percent, but Palantir doesn't have prices for its software. 04:00 — They go in. They talk about what the customer wants to do. They say, "Okay, given that, if we drive the value you're looking for, you pay us this." And then, as that seems to be working quite well, the customer often comes back and says, "Hey, that was terrific. Let's do this, this, and this in addition." Visit Cloud Wars for more.

Bloomberg reported that Callosum raised $100 million to build software that matches AI workloads to specific chips. The company targets routing and scheduling so training and inference jobs run on hardware that fits their memory, bandwidth, and cost profiles. The raise comes as enterprises manage heterogeneous fleets across AWS, Microsoft Azure, Google Cloud, and specialized providers like CoreWeave and Lambda. The market includes established schedulers and recent deals such as Nvidia's 2024 agreement to acquire Run:ai and Databricks' 2023 purchase of MosaicML for $1.3 billion. Buyers will evaluate governance, cost allocation, and measurable utilization gains. Founders should pilot across multiple chip families and providers and track throughput per dollar, queue times, and job success rates.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

What happens when the career you built changes, disappears, or no longer feels right? I talk with content marketing leader Nicole Pytel about career change, burnout prevention, imposter syndrome, entrepreneurship, professional identity, and the growing role of AI in content marketing. Nicole shares how she moved from sports journalism into business, built her own agency, learned to shut work off, and later chose employment over entrepreneurship without seeing it as a step backward. We also explore what layoffs can teach us about identity, why confidence can exist beside fear, and how AI can support human skill instead of replacing it. Her story is a strong reminder to trust what you know, keep learning, and ask yourself one powerful question: Why not you? Highlights: 21:44 - The turning point that pushed Nicole to leave television. 28:50 - Why never shutting off from work led to burnout. 39:34 - How confidence can exist alongside fear and imposter syndrome. 45:35 - What a layoff can reveal about professional identity and self-worth. 50:24 - Why AI still needs human judgment, strategy, and creativity. 1:00:24 - Why trusting your gut can make career change worth the risk. About the Guest: Nicole Pytel is a content marketing leader who's spent her career translating complicated things into stories people actually want to hear — first from a newsroom, now from the executive table. Her career started in TV news as a sports reporter, where she covered the legendary Friday night lights of high school football and spent her Saturdays on the sidelines of Texas A&M's Kyle Field. She was eventually promoted to news anchor, and those days of turning complex topics into compelling stories still shape how she approaches content strategy today. Nicole then spent nearly a decade as the founder of Premier Content Source, a content marketing agency she grew to serve over 1,000 clients across multiple industries. She later worked as an embedded content marketing expert inside teams at Google Cloud, Chrome Enterprise, and YouTube. Most recently, Nicole served as Vice President of Content Marketing at Firebrand Communications, where she built the agency's content marketing line of business from zero and held a seat on the executive leadership team. Today, Nicole is focused on how AI is changing content marketing, building a four-chapter framework for how content teams should operate now that AI has fundamentally changed how buyers search, discover, and evaluate the companies they work with. Whether it's a thirty-second news segment or a company's entire content strategy, Nicole's guiding belief hasn't changed: if you can't make the audience care, you're just making noise. Ways to connect with Nicole**:** LinkedIn, https://www.linkedin.com/in/nicolepytelmarketing/ About the Host: Michael Hingson is a New York Times best-selling author, international lecturer, and Chief Vision Officer for accessiBe. Michael, blind since birth, survived the 9/11 attacks with the help of his guide dog Roselle. This story is the subject of his best-selling book, Thunder Dog. Michael gives over 100 presentations around the world each year speaking to influential groups such as Exxon Mobile, AT&T, Federal Express, Scripps College, Rutgers University, Children's Hospital, and the American Red Cross just to name a few. He is Ambassador for the National Braille Literacy Campaign for the National Federation of the Blind and also serves as Ambassador for the American Humane Association's 2012 Hero Dog Awards. https://michaelhingson.com https://www.facebook.com/michael.hingson.author.speaker/ https://twitter.com/mhingson https://www.youtube.com/user/mhingson https://www.linkedin.com/in/michaelhingson/ Thanks for listening! Thanks so much for listening to our podcast! If you enjoyed this episode and think that others could benefit from listening, please share it using the social media buttons on this page. Do you have some feedback or questions about this episode? Leave a comment in the section below! Subscribe to the podcast If you would like to get automatic updates of new podcast episodes, you can subscribe to the podcast on Apple Podcasts or Stitcher. You can subscribe in your favorite podcast app. You can also support our podcast through our tip jar https://tips.pinecast.com/jar/unstoppable-mindset . Leave us an Apple Podcasts review Ratings and reviews from our listeners are extremely valuable to us and greatly appreciated. They help our podcast rank higher on Apple Podcasts, which exposes our show to more awesome listeners like you. If you have a minute, please leave an honest review on Apple Podcasts. Transcription Notes: Michael Hingson  00:04 What if the biggest thing holding you back isn't what's in front of you, but rather what you believe? Welcome to Unstoppable Mindset, where inclusion, diversity, and the unexpected meet. I'm your host, Michael Hingston, speaker, author, and advocate for inclusion and possibilities. This podcast explores how the beliefs we carry shape the way we live, lead, and connect with others. Each week, I talk with people who challenge assumptions, face adversity head-on, and show what's possible when we choose curiosity over fear. Together, we focus on mindset, resilience, and the small shifts that lead to meaningful change. Let's get started. Well, hi again, everyone, and once again, it is time for another episode of Unstoppable Mindset. We are having a lot of fun doing these podcast recordings, and I really appreciate all of you being out there. Love to hear from you if any of you have any comments on any of the things that we talk about, or even if you don't comment anyway. We'd love to hear from you, but I really appreciate you all being here and and and interacting with us today. We get to chat with Nicole Pytel. My screen reader pronounces it Pytel, but you know we were just besmirching technology, and it deserves it because it should pronounce it right. But anyway, that's okay. But no help. Nicole has been very much involved in a lot of content marketing and in a variety of things. I think we're going to have a lot of fun chatting and talking about different business things, and who knows what else will come up in the course of the conversation. That's what makes it fun because it is truly and always is intended to be a conversation. And who the heck knows where things may go as we follow along? But we'll make it work. So Nicole, welcome to Unstoppable Mindset. We're glad you're here. Nicole Pytel  02:08 Thank you for having me. I'm thrilled to be here. I'm so excited, and yeah, I can't wait to see where the conversation goes. Michael Hingson  02:14 I can't either. It'll we'll have a lot of fun with it. Well, I love to start this way. Tell us about the early Nicole, growing up and and all that. Let's get people to have a chance to get to know you a little bit. Nicole Pytel  02:28 Yeah, well, the the early Nicole is a a Florida native. I know people are always a little baffled by that. Not everybody in this state is from a transplant from New York or Philly or Boston or any of those places. Some of us are born here. And have you made Michael Hingson  02:43 and have you made friends with all the gators? Nicole Pytel  02:46 Ah, no, no. I stay away from the gators. Antisocial, Michael Hingson  02:50 aren't Nicole Pytel  02:51 they? They're yeah, they're they're a bit unfriendly. Yeah, I've I've never seen one in the wild, and I I'd like to keep it that way. Yeah, I hear you for sure. Yeah, yeah. Well, yeah, born in Miami, grew up in Fort Lauderdale. the The only daughter of two former Miami Dade police officers. So, yes, yes. My mom was actually an undercover narc in the days of the cocaine cowboys. So, she is incapable of being intimidated. And personally, I think she's amazing and also a little crazy for doing that. But yeah, grew up as an only child, had you know four-legged brothers. You know, just had a great childhood. You know, just really like as great as it could be. You know, dad worked from home, had his own business. Mom worked with dad a lot of the time and was in the PTA and running the Girl Scouts and the young astronauts and all all the things. So, you know, really great childhood and a lot of lessons that really kind of you know still stick with me today and kind of gave me that foundation to go and do all the really cool things I've done as a grown-up. A lot of lessons learned. So you know, it was a good childhood. Michael Hingson  04:06 What did your dad do, and what does he do? Nicole Pytel  04:09 He well, he was after he left the police force. He started his own business. He reconstructed traffic accidents. So he was an expert witness. His clients were personal injury attorneys in South Florida, which is probably the worst client you could have on the planet. Those are some demanding folks. He handled it really, really well. He had his own business for gosh, 30 years. So yeah, he was he was amazing. Michael Hingson  04:38 Did he ever consult for CSI Miami. Nicole Pytel  04:43 No, he did not. Just checking. Did not. The one that was the one cool thing he didn't do. No. Michael Hingson  04:48 Yeah. Well, talk about the potential for pressure, but that's okay. Sounded like he had a a good time and enjoyed what he did, and and it does sound very fascinating. It is. It is Nicole Pytel  05:02 indeed. Although you know, when you're learning to drive as a teenager and your father does that for a living, you know, you've you've seen all the terrifying accident photos and heard all the stories, and so it's a it's a little stressful learning to drive from somebody who sees the worst of the worst every single day, but you know, we made it. Michael Hingson  05:23 And did Dad work as a backseat driver for you every so often? Nicole Pytel  05:27 Oh, 100% 100% literally. I mean, till the day he died, he was the world's worst backseat driver. I, you know, I'm in my 30s, and he's like, "What are you doing? You know, so yeah, absolutely, 100% Michael Hingson  05:42 How about mom? Nicole Pytel  05:44 Oh, mom, mom is amazing, and yes, she's a backseat driver as well. Okay, I am as well. So, but you know, mom, mom is tough and and also amazing, and you know, such a a great mom to her fur kids and a good grandma to my fur kids, and you know, just just amazing the life that she's had. You know, just grew up as a State Department brat, lived all over the world, was cop, like just wild, just wild. So I I have I have some very cool parents. Michael Hingson  06:15 Do you have any kids of the two legged variety? Nicole Pytel  06:18 Not the two legged variety. I've got two of the four-legged kind. Yeah, Michael Hingson  06:22 that works. Yeah, they're they're demanding enough. Nicole Pytel  06:26 Oh, mine are little little tiny divas. Absolutely, and I'm proud of it. They were raised to be little spoiled divas. Michael Hingson  06:33 Well, I have my guide dog Alamo, and we have a cat who's now 16 and a half years old, named Stitch. She's the real demanding one, she she likes to be petted while she eats, and the only way to keep her from disturbing a podcast to get fed is to keep the door closed, which I do. But the the thing is that if if the door opened, she'd probably be in here, and she would be insisting pretty loudly if I didn't respond, that she needs me to go pet her while she eats. She loves it, and it's fine. There are just a few times that she doesn't get to do it, and mostly she's pretty quiet about it since the door's closed. But when we're done, I'll open the door, and I will hear from her pretty quickly that time for more food. Nicole Pytel  07:21 She's got you well trained. Very good. Have you well Michael Hingson  07:24 trained? Yeah. Now Alamo, Alamo, my guide dog, is a clock watcher, so he's going to get his his afternoon treat a half hour late, and and he's pretty quiet about that sort of stuff. He's pretty pretty nonplussed about it. He won't come over and bug me, even though he's here in the room during the podcast because he knows what's going on, but by the same token, as soon as we're done, he's going to be out there going, "It's after 130, Buster. Nicole Pytel  07:51 I hear you. Minnie, Minnie and Megs will be the same way. Don't you worry; it'll be time for their dinner when we're done here. So, yeah, they'll they'll be ready. Michael Hingson  08:00 Yeah, well, and Stitch also gets some treats in the evening. She gets them around 630 at night, but at five she starts demanding them, and she doesn't want to eat anything that's left over in her food bowl. She wants her treats, and she knows she's not going to get them until after 630, but she pushes anyway. Ah, it's fun. I wouldn't have it any other way, though. Nicole Pytel  08:23 No, absolutely not. They are just little rays of sunshine. Michael Hingson  08:27 They are. So you went to college, I gather. Nicole Pytel  08:30 I did. I went to the University of Miami. Both my parents did as well. Dad actually played football there back in the day. Yeah, actually, I mean, honestly, growing up, I pretty much lived at the Orange Bowl on Saturdays. We had season tickets to the Hurricanes, and you know, learned about football very, very early on. I was actually, I think I was like five, and I was sitting there on a Saturday playing with my Barbies, and Dad came in and was like, "All right, come on, put the Barbie dolls down. We're gonna go watch football. You're gonna learn about football, and I was I was hooked ever ever since. So you know, who needs copies? Michael Hingson  09:10 I got hooked more on on baseball. Of course, I still am of the opinion that for the longest time, we had the best announcers in baseball here in California. We had Vince Scully, we had Dick Enberg, and so many people. And I learned baseball from Vin Scully. I learned all about the rules and so on, because he could announce the game, and he could include stories, but never missed announcing what was going on on the field. So you you got both, and I don't think there are many announcers today who can do that. And they've got buddies, and they they kind of talk together, but they're yammering a lot and not announcing the game, which is all the more no fun. So yeah, what do you do? Nicole Pytel  09:54 Yeah, there's something special about those guys that can just do it solo for nine innings, especially with all the break. In between pitches and things like that, I mean that's it's a lot of air to fill. So yeah, I mean Vince Gully. There's there's nobody better to learn from. Michael Hingson  10:09 No, nobody better than Vinny ever ever in baseball. And and as I said, Dick Enberg was out here, and and then in basketball we had Chick Hearn who could talk faster than anybody in the world, which was pretty cool, and there were some other announcers. They weren't necessarily just announcers like Vinny. I mean, Harry Carey, who did the Cubs, and but he was well loved and had a great personality, and it was a lot of fun. But Vinny was definitely the best, and then Dick Enberg, who also did football, and I learned a lot about football from from him, which was kind of fun. But I've always been a baseball fan. Nicole Pytel  10:46 Same, I love baseball as well. There's just something so quintessentially like wholesome and American about baseball. It's just like the hot dog, and you know, there's just something about baseball where you just feel like just a pure good old fashioned American kind of thing, you know. It's just got this feeling Michael Hingson  11:08 to it. Yeah. Well, so you went and got. Did you do advanced degrees or just a bachelor's? Nicole Pytel  11:14 I did my bachelor's. Yeah. I I went into broadcasting. Actually, majored in in broadcast journalism and psychology. Ah, wow, that's a Michael Hingson  11:23 combination. Nicole Pytel  11:24 It is, you know, I the psychology part. You know, I've always been fascinated of like why people do what they do, and I wanted to be a sports journalist. You know, ever since I can remember, and I was like, well, what a great way to really understand people if you're going to interview them and talk to them all the time, and and tell them stories, you know, through the TV. Like, what a great way to understand them. Take take psychology, learn all about that. And and now that I'm in marketing, it's it's the same thing. Trying to figure out, you know, why'd they click on that ad and not this one? Why'd they open this email and not that one? Why'd they, you know, read this case study and not that one. So it's it that that major was kind of the gift that keeps on giving. Michael Hingson  12:07 Now you, so you got your bachelor's and then you went into broadcast journalism. Nicole Pytel  12:13 I did. I did. I I took off to College Station, Texas, to be a great reporter. Yeah, really no better place. I mean, you know, you start in broadcasting, and you're going to start in a small market. And there's all kinds of cities in in the country that I'm sure are lovely, but you've never heard of them before. Your God only knows what you're going to cover. But I was very, very blessed. I got to go to College Station, Texas, so that is the home of Texas A and M, and of course Friday Night Football, the local high schools. You know that the that was my job to cover that stuff. So you can't really ask for anything better than that for a first job out of school. Michael Hingson  12:55 So did you did you announce the games or what did you do? Nicole Pytel  12:58 I didn't. I was a I was a sports reporter for one of the local affiliates in town. So, and I was a one-man band. So I shot everything, edited everything, reported everything. I did, I did all the things, all the things. No photog following me around. No, no, nothing. It was all me. So I was the one, you know, on the sidelines shooting the games or standing behind home plate, and you know it was it was fun. It was it was definitely an adventure. We could probably do an entire podcast just on crazy stories about that. Well, Michael Hingson  13:29 how long ago was that? Nicole Pytel  13:30 Oh gosh, more years ago than I I'd like to think. My goodness, I went out there in 2006. So Michael Hingson  13:39 digital cameras had started to come into play. Nicole Pytel  13:44 Yeah, sort of. Although when you're working in a small market, they don't have the newest equipment, so the cameras were still big and heavy. You had this big bag of stuff to lug around. You had the big heavy tripod. You know, you're kind of going like carrying your weight in stuff. Yeah, you know, and and I'm doing it, you know, depending on where I'm going, you know, in in like dress clothes and and heels and and trying not to fall over, you know. So, but um, yeah, no, it's that was still the big and bulky stuff back then. Michael Hingson  14:14 Yeah, yeah, I'm I'm not surprised, and at the same time, you did it. What's what's the most memorable, if you have one, memorable event or thing that you can think of that you did while you were out there in Texas doing football and baseball and all that? Nicole Pytel  14:30 Oh man, there's there's so many, there's so many. But I think one of the coolest things I got to do was, you know, Kyle Field, which is Texas A&M's home stadium. It is it is enormous. It seats you know 100,000 plus people, and you know being there on a Saturday is is unreal. It's loud. Those are probably some of the most devoted fans on the planet. They never sit down. They they. Practice all their cheers the night before. I mean, it's just wild. But you know, I used to do obviously during the season. I'd go to the weekly press conferences during the week, and I'd I'd do stories. And you know, I never. I don't know if I ever told anybody this publicly, but they used to leave a chain link gate open at Kyle Field on Tuesday afternoons. It was just unlocked, and so I would I would go in there, and the stadium would be totally empty except for me, not a soul. And I'd go in there, and I was you know shooting my own stuff. So I had it all figured out where exactly where I had to put the camera and exactly how I had the angle of the tripod and exactly where I had to stand, so that I could get there. Home of the 12th man sign like right over my shoulder, the perfect shot for you know my stand up and my story. And so every every Tuesday I'd go in there. I'd kind of sneak in. I don't know to this day if they ever knew I was in there, but but being in there, you know, on the 50-yard line of this enormous stadium, all by yourself-it's totally silent. You know what it's like at at peak velocity volume, and being in there all by yourself, you're just like, this is the coolest thing I know ever. Like this is amazing. It's wild. It's just wild. Michael Hingson  16:19 Well, I won't tell anyone. I mean, it's sort of like Vin Scully, who always said, "This is between me and you, nobody else. Nicole Pytel  16:24 Exactly, exactly. Michael Hingson  16:26 Nobody will hear it. It's okay. That's that's cool. The only thing I would say about that is, and I experience this. If you talk about crazy fans, Kentucky and football is just as challenging, I went to do a speech somewhere, and the speech was on Monday night. It was the NCAA championship in football, and the and the Kentucky Wildcats were one of the teams. And I was told that my speech had to end at 630. It could not go any later because if it went later, I'd be speaking to an empty gym. Nicole Pytel  17:04 Yes, you would absolutely no pressure, no pressure. No, no Michael Hingson  17:07 pressure at all. Well, I kept an eye on the time and and ended it right at 630, and by 631, the place was empty. It was crazy. Nicole Pytel  17:14 Cleared out, cleared out. Well, hey, that speaks well for you that they were all there before the game. They weren't tailgating or anything, you you were bigger than the tailgate. Michael Hingson  17:22 I guess so, but it was it was fun, and and then you've got North Carolina for basketball, so oh yeah, it's again it's it's pretty amazing. Well, how long did you do your your stint dealing with sports and and being in the news media? Nicole Pytel  17:41 Yeah, so I was a sports reporter for two years, and then my contract was up in the summer of 2008 when the the economy was not so great. Yeah, and I I didn't want to stay in my job not because I didn't love it. I just wasn't really making any money. You don't make any money in TV. That's the big secret. It looks so glamorous, and and you're broke. But it was so it was basically impossible to get another sports job at at that time, you know. And I got a really good opportunity at the station I was at. They were like, you know what? Like everybody in town knows you. They see you on the sidelines. They see you behind home plate. Like they see you at all the things. And so why don't you be the main news anchor? Because they were rebranding the station, and I said, you know what? Okay, cool. I'll do that. You know that that'll be something new and different. And you know it kind of hurt to leave sports, but it was a challenge. You know to be the main anchor and the producer. So it was it was my show to run. So I did that for two years as well. No pressure, no pressure at all. No, it's fine. Michael Hingson  18:51 Yeah, Nicole Pytel  18:51 pressure. Michael Hingson  18:53 So you did that for two years, and then, Nicole Pytel  18:56 and then I left, and I totally did something different. I left TV and I started my own content marketing agency. Just me, myself, and I, and my little my little built-in desk in my kitchen in my apartment. So couldn't be more different. Michael Hingson  19:12 Did you do now? Was that in Texas? It Nicole Pytel  19:15 was in Texas. It was you know it was it was you know time to leave TV, and it was just like, okay, well, what am I good at? Like, what can I do? And I said, well, shoot, I can write anything, you know. So I'll do content marketing, and and there's so many journalists that go into PR. That's kind of like the the thing they all do. And I was like, I don't want to do that. Like, I don't know. It's just like being on the journalism side, you know, all the PR people. It's like, oh, come on, guys, stop! So I went into content marketing, started my own agency, just just me, myself, and I. And you know, was it was scary, but it was fun. It was you know throwing yourself into the deep end of the pool and and seeing if you could swim. If Speaker 1  20:02 you enjoy Unstoppable Mindset and would like to help us continue bringing these conversations to you each week, we've created a way for you to support the show. Your contribution helps us cover production costs and continue sharing stories, insights, and ideas that inspire people to live with purpose and possibility. If supporting the podcast feels right for you, you'll find the link in the show notes. Thank you for being part of the Unstoppable Mindset Community. Michael Hingson  20:35 So now, tell me something about what content marketing Nicole Pytel  20:40 is. Yeah, so you know content marketing, and and I I've always been on on the B 2b side, the business to business. So and usually, and most of my career has been in in tech. So you know, selling very expensive things to people who are very skeptical of whether or not it works and don't want to make the wrong decision on you know a six figure platform or something like that, and it's really the content marketer's job to really kind of give them almost like a buffet of things that that they need to really figure out. Okay, what problem do I have? What solutions are there for this problem? Like, who are the different vendors? What what are the different ways to solve this problem? What makes all these vendors different? How do I know which vendor you know will actually give me ROI? Like, do they understand my business? Do they understand people like me, and then you know, getting them all the way through until they're ready for a sales conversation. And as you might imagine, people don't like to talk to salespeople. They're you know at this point probably probably 80% of the way through. You know they they probably are pretty set on on which vendor they're going to go with before they talk to sales, but you know there's all kinds of different marketing. But content's the one that really runs the whole gamut of everything. You know, you everything ties back to content because you've got to bring them to something. Like you know, ads have got to drive to something. The website's got to say something. You know, like PR has got to plug something. So, you know, content's kind of that that through line for the entire process of them making these, you know, huge expensive decisions. Michael Hingson  22:33 Well, still going into content marketing, since you were in TV, is a pretty major, pretty major switch all the way around. And what makes me curious is how did you discover you really knew and understood content marketing? And more important, even than I guess, would be since you loved TV so much, when did you decide that it was worth staying in TV than it was to switch careers? That had to be a pretty scary thing, or maybe it wasn't. You may be just used to doing that sort of thing. Nicole Pytel  23:05 Yeah, no. Leaving TV, there was a there was a day, you know, when I knew I was done with TV, and and I was kind of frustrated with it. You know, you're not making much money, and and at that time it was so tough. The economy was was still tough, even even a couple years after that, and and it was just was tough. And news is a totally different kettle of fish than sports. Sports is is fun, and the fun stories and the feature stories and news is just it can be depressing. It can you know, it like you know. If it bleeds, it leads. That's you know where we're at, and that just started to get to me. And there, there was one day where things were just really, really slow, and and I was just like, oh my god, we don't have a lead story, and time is a ticking, and 10 o'clock is coming, whether I'm ready or not, and it's not like you can get on TV and go. Well, hey, good evening. Nothing happened today. Shut off your TV and go to sleep. And that's a story. That's a story in and of itself. Nothing happened, and I was really struggling. Like, oh my God, what's the lead story? What's the lead story? Am I going to have to take something and just kind of you know make make chicken salad out of chicken you know what and try to pass this off as important, and then we heard over the scanner there had been this this fatal car accident and this teenage girl had died in a car accident you know and for a split second I thought, "Oh, thank God, I have a lead story. And then, in the next second, I went, "Oh my God! Like, how is that your reaction to this story? Like, this girl is gone; her family is destroyed forever. Like, how did your brain even get to oh my god?" Thank God, I have a lead story, and and it was then that I was like, I don't want to do this anymore. You know, I was one foot out the door, and then I was like, uh, I don't like this. And to this day, I don't remember the girl's name. I don't remember any of the details, but I still think about it because it was really this turning point of like, I just don't want to do this anymore. Like I want to go do something else. That you know, maybe if I had stayed in sports, it would have been totally different. But the news side is just-it's tough. It's tough to see all that bad stuff day after day after day and kind of capitalize on it. Yeah, Michael Hingson  25:34 I-I'm amazed at some of the reporters that that I watch and and just listen to how they report the news, and now there's always it seems in our country a lead story of some sort. But how they do it and how they're able to do it day after day without registering too much emotion is pretty amazing. And I and I hope that their characters just don't become so hardened that they don't feel sympathy, and I and I think they don't. The reporters that I tend to watch, I think, are very human oriented, but and and they they behave appropriately, but at the same time, I'm amazed that they're able to do what they do, and it's got to be so tough. Nicole Pytel  26:24 It is tough. It is tough because sadly, you're kind of seeing the worst of the worst. I mean, you know, that's that's the stuff that that makes the news. And and today, you know, I don't watch local news really at all anymore. But it seems like now it's just kind of the police blotter, and it's like when I hear about all these bad things, you know. It's just, you know, the the storytelling has has kind of fallen out of it quite a bit. Michael Hingson  26:49 I collect old radio shows as a hobby, and I'm very fascinated to listen to the all the old news broadcasts from the 20s, well, the 30s, 40s, and into the 50s mainly. And I've heard some interviews with people who did news back in those days, and and who are somewhat still well, they're still alive or they used to be, and they talk about how news broadcasting has changed over the years, and they don't they don't do the same kind of news that they they used to do where they would report on things. Now they've got different people sort of chattering back and forth, and and they're they sometimes make light of stories and they just do a lot of different things, but they're not reporting the news the way the old reporters used to do. Nicole Pytel  27:36 Yeah, yeah. I mean, you know, back in the day, you had you know Walter Cronkite kind of ripping the paper off, you know, or you know they're sitting there smoking a cigarette, giving the news. I mean, you know, stuff like that, and you know, yeah, it's just it's totally different. I think it's become so sensationalized, and everybody's obsessed with being first. I think, I mean, you always want to be first, but I I think people are obsessed with being first, even if they don't always get it right. Yeah, and that's Michael Hingson  28:08 happened a lot. It Nicole Pytel  28:09 happens a lot, and and also it's like who can be the most sensational, who can make the biggest splash, and you know it just I don't know. It's it has it's changed so much. Yeah. Michael Hingson  28:25 Well, so now, but but again, well, not now. But then you went into contact mark content marketing. Do you feel that you knew that business as you were going into it, or or did you have a lot to learn? And how did you do it? Because for a while, it was just you doing everything? Nicole Pytel  28:41 Yeah, it was it was me doing literally everything. And did I know about content marketing? No, I didn't. I knew how to write, so I knew I could do copywriting. And I said, okay, well, I'll I'll figure out the marketing part. And it took a lot of courses. I learned about SEO. I learned about email marketing. I learned about inbound marketing. You know, I just took every course that I could and kind of just built the plane as I flew it. And you know, because yeah, when you start your own business and you're all by yourself, there's no there's no senior person to go ask. You're the person, and you've got to figure it out, and you know, I like to say the money train doesn't doesn't just magically show up every two weeks. You know, you've got to you've got to work and you've got to earn it. And so, when you've got your own business, you know, that's just it's a lot of pressure. And so, yeah, I just I just went and and learned as I went and learned a lot quickly. And you know, would would I tell everybody to go do that? No, but for me it was like, well, if I can do that, I can I can probably do anything. I mean, shoot, I kept a a roof over my head and food food on the table for for eight years with my. Business, so that's that's something that a lot of people can't say. Michael Hingson  30:03 Did you make any kind of mistake at the beginning, or as you were starting and running this business, that you're very grateful today that you made? Nicole Pytel  30:11 Oh, I I made plenty of mistakes. Oh my goodness! And of course, you're going to make mistakes. You're you're just learning. You're just drinking from the fire hose and just hanging onto the bowl, you know, and I think there was a there was a couple of mistakes I made. I think probably the biggest was not shutting off, you know. And I had come from news where at 10 o'clock the news started, at 1030 the show was over. You were done for the day. Nothing carried over to the next day. You came into work the next day. You started over, and it was really hard to have work that dragged on for days or weeks at a time. And you know, it was hard to shut off, especially when it's your own business. It's like, oh, let me just reply to this one email, or let me check this one thing, or let me go do this one thing over here. And and when I started my own business, you know, I was working, I was working out of the kitchen. So you know, you go to sit down and relax on the couch at night, and and your computer's you know four feet away in the kitchen. So oh, I'll I'll just go check this one thing, and I never was shutting off, and you burn out that way. You really, you really do. And I'm glad I learned that lesson. And I'm not saying I've never repeated that lesson because I've definitely, you know, it's it's a very acquired skill to be able to just turn your brain off and and go focus on something else. But I'm glad I made that mistake because it really showed me, like, you don't have to be on 24/7 even to run your own business, you know, like, and you have to stop. And so, what I've done ever since then, ever since I was able to afford, you know, a two-bedroom apartment or whatever, even my house now. I've always had an office so that you know I go, I do my work, and then at the end of the day, I shut off the computer and I leave that room, and I don't come back until the next day. Where it's like you know, like if you go to a traditional office, you get up at 5o'clock, you walk out, you're back at 9o'clock the next morning, like I've worked really hard to do that at home to really avoid that whole always on kind of mentality because you've just got to kind of stop, you know. Michael Hingson  32:34 Yeah, I my wife passed away in November of 2022, and she was more of a late riser, and I was more of a morning person, but we compromise pretty well. But since she has passed, I tend to get up pretty early because I can eat breakfast and then come in and spend time before anything else happens, going through emails and doing some things. But I don't have to rush doing it, and that helps. But then, then then the the other things happen in the course of the day. But I I know what you're saying, and I work pretty hard at shutting things down by around 5o'clock. Of course, I also have to do that because I have two creatures who say it's five here, not somewhere else, and we better get our food. Yeah. Yep. So they help, but I hear what you're saying, and it and it is a it is a discipline. Working at home and working for yourself is a is a discipline that a lot of people Nicole Pytel  33:33 oh yeah Michael Hingson  33:34 could learn and don't or just don't have the skills to do. But it is, I think, a very doable thing, and I enjoy it. And I usually have I usually have television as well. I have television or something on in the background, although I don't listen to much of it. It's just background noise, but it's there and it helps. Nicole Pytel  33:53 Yeah, yeah. There's something about silence. I've always got to have you know some music on or something. It's like the silence gets a little deafening when you're at home working, it's it's it's funny that way. Michael Hingson  34:03 I do some stuff on the weekends, and when I when I do catching up on letters and things like that on the weekends, I typically don't turn anything on. I just focus and get it done, and then I go off and read and do other things. So it works out. But I but I hear what you're saying, and I think it's an important lesson to learn that you've got to learn. You've got to find a way to recognize that that it is important to turn off. And if you don't, you're going to drive yourself crazy. Nicole Pytel  34:30 You will. And and you know now that we've got you know email on our phones and Slack on our phones and LinkedIn on our phones, it's really easy to sit on the couch at night after dinner and just let me check my email this one more time, or or let me reply to this Slack message, and you just gotta stop because you will burn out, and and then you know you're you're of no use to anybody, most of all yourself, you know. And I think that Michael Hingson  34:57 oh, go ahead. Nicole Pytel  34:58 I was just gonna say I think it. I think it's a lesson that a lot of people struggle with, you know, because everything is just this on-demand one tap of your phone. You can just be back at work 24 hours a day, and I think you have to learn that I don't have to be on 24-seven to be successful. Think that's the thing you've got to learn. Michael Hingson  35:20 Do you think you've experienced burnout along the way? Nicole Pytel  35:23 Oh yeah, absolutely, absolutely. You know, I, I, you know, one of my bad habits is, you know, I'll kind of like put myself last, and I've learned that, you know, oh, it's really easy to, you know, oh, I won't go for a run this morning because I've got you know this work thing that I've got to do, and you know you've got to kind of treat yourself as a non-negotiable as well. You know, not that you get to do the run every morning. There's some mornings when you really can't, but if you look at the run as you know something of that's you taking care of yourself, and something that that is pretty non-negotiable, and it needs to be part of the schedule. You're you're more likely to to stick with it and not push it off to the side. Because yeah, I'm guilty of that. You know, you you push things off to the side. You're eating at your desk. You're passing up on this, or oh, I'm not going to go out to dinner tonight because I'm going to sit here and catch up on stuff, and and you burn out, you know, and it's exhausting. Michael Hingson  36:28 Yeah, yeah, you gotta gotta learn to keep things in perspective, and you're right. Yeah, yourself is is an important part of of what you do, and you have to be able to take care of yourself along the way as well, Speaker 1  36:42 yeah. Michael Hingson  36:42 Well, you had your own company for almost 10 years, and then you decided to go back to work for someone else. What what caused that to happen? Nicole Pytel  36:50 Yeah, so it was a couple of things. You know, one was you know when you own your own business, and and Michael, you understand this. You're you're the everything. You're you're the you're the president. You're the head of marketing. You're the head of sales. You're the head of operations. You're doing the taxes. You're you're doing all the things, and you're not necessarily good at all the things, and you don't necessarily enjoy all the things. You know, and so there was kind of two reasons. So I wanted to really focus on what I was good at, which was the content marketing part. You know, I didn't want to have to fill out quarterly reports for the state or you know things like that. All the admin work that goes in into running your own business, and so I said, okay, I want to be able to do what I do best, and I want to be able to work with clients that are bigger than I can get myself. And so I was really, really lucky to land at an agency. I worked remotely, but the agency was was based in Silicon Valley, and you know our our biggest client was Google, and you know for clients it doesn't get any bigger than that so you know I got to just focus on the content marketing part and work with with companies and and people that I never would have been exposed to if I had stuck with my own business you know no matter what I was never going to break into Silicon Valley from from my apartment in Florida, so you know it was the right decision. It really was, and and in job interviews, people asked me, "Well, you're giving up being your own boss? And it's like I've got very specific reasons for doing that. It was just time, you know. Michael Hingson  38:35 Do you feel like in any way it was a step backwards going to work for somebody rather than being the boss? Nicole Pytel  38:42 No, I don't think so. You know, because I've that eight years that I had in my own business, I got I I've got that under my belt, and you know, no one can take that experience away. You know, it is it is what it is. I learned a lot of lessons. I learned a lot of lessons the hard way too, and it was a great springboard. But I like being able to focus on what I'm best at, and you know the stuff that I've been able to do since then. I wouldn't have had those opportunities if I had just kind of kept with my own business. So I didn't see it as a step back at all because I had very specific reasons for making the move. Michael Hingson  39:20 Yeah, and you know I respect that, and and went through the same sort of thing. I owned my own company for four years back in the mid 1980s because I wasn't able to find a job at the time. People just wouldn't hire blind people, so I started my own company, and then eventually decided to go back into the workforce. And my wife and I worked out a a plan for that, and I created a cover letter that actually impressed some people, and I got a job out of it. But by the same token, I wasn't at all regretful about having to stop doing what I was doing and go back to work for someone else, partly because some of those very pressures that. We're talking about went away, and partly because, as you said, it was time, and I knew it, so we did. Nicole Pytel  40:07 Yeah, yeah. You've got to you've got to go with your gut and stuff like that. You know, like if if your gut is telling you something, or if you're like, I think I'd be a little bit happier doing something else, or if I didn't have to do this part of it, you know, go for Michael Hingson  40:24 it. Well, so there were times that, as you describe it, you would go into a role with no map. You were the only and the first content marketing hire, and you did a lot of stuff with Google Cloud marketing and and so on. What's the difference? I guess the best way to put it. What's the difference between, well, yeah, what's the difference between confidence and just hiding fear? That's probably the good basic question. Nicole Pytel  40:51 Yeah, yeah, they're probably kind of on the same plane, but they project Michael Hingson  41:00 differently. Nicole Pytel  41:01 They project very differently. They they project very differently. So so yes, you know, I created my own business, and then two of the agencies I've worked at, I was the first you know full time content hire. Built the content marketing practice. It was like building a business within a business, and and all the things that go along with that, I just didn't have to do the taxes, and which is a good thing. Yeah, it's a great thing. And then at the same time, yeah, I was I was embedded with with Google Cloud's marketing organization, and and so I think confidence is you know you can do it. Like deep down, you're like I know my stuff, I can do the work, I can do this, and then of course there's the fear of, oh my god! Like Google, like I'm gonna have a Google email address. I'm gonna have you know a title at Google and a supervisor at Google. Like, oh my god! Like, and then of course you know the the fear comes in. The imposter syndrome kind of comes in. Like me, me, really? And I think it's kind of like jumping into a really cold pool. You're scared, but you just gotta do it and kind of not fake it till you make it, but just dive in and trust in the confidence side. You know, there's like it's like the devil and the angel on your shoulder. One is your confidence. That's the angel, and the devil is the fear. And just listen to that confident part, and eventually, I feel like the fear gets drowned out. Now, does the imposter system ever imposter syndrome ever totally go away? Of course not. Of course not. We all have days where you're like, why am I here? Why is anybody listening to me? Why does anybody think I'm smart? We all have those days, but you know, eventually, you know, if you've got that confidence in yourself, it will win out. Michael Hingson  42:52 Yeah, and and it is something that we all have to deal with. But I think we can. I think if we truly understand ourselves and we listen to our inner voice. We'll get the guidance and the confidence that we need. I think so many people tend not to be introspective and tend not to go back and listen to the lessons that they could learn from their own inner subconscious, their own inner voice. And the result of that is that they they end up being very clueless, but the fact of the matter is, there's a part of you that monitors every single solitary thing that you do, and it's ready to give you the information that you need if you'll but take the time to learn to listen to it. And most people just don't do that. But the fact is, we should take that time because we'll get better results than we would ever get any other way. Nicole Pytel  43:45 It's funny because we'll say things to ourselves that we would never say to somebody else. Like you'd never say it to a friend, but you say it to yourself. It's like, why do we do that? And you know, sometimes I think one of the most important questions I've ever asked myself is why not you? You know, you want to go be a sports journalist in Texas? Why not you? Why can't you do that? You want to own your own business? Why not you? People do that all the time. Why? Why can't you do it? And I think if you if you're really honest with yourself, and you say, "Well, why not you? And you force yourself to kind of have this conversation with yourself and give an answer. A lot of times, you can't think of Michael Hingson  44:33 one, and you create excuses. Nicole Pytel  44:37 You do, which Michael Hingson  44:38 really are are not helping, and they're not healthy, but you do it anyway. And I understand the concept of imposter syndrome, but you ultimately have control over that. Nicole Pytel  44:50 You do, and I think that's the thing. It's you know I think anxiety gets the best of us a lot of the time, and and you've got to be like, okay, well, what can I control? What is totally out of my control? I actually heard somebody say today, you know, when anxiety creeps in and you have a thought, "Oh my God, what if X Y Z happens? You say to yourself, "So what if it does? Like, so what? Like, can you control it? Can you fix it? And if not, then then you shouldn't just give it airtime in your brain, you know. We Michael Hingson  45:23 spend so much time worrying about everything over which we don't have control, and we don't really learn the about the things over which we truly have control and should focus our time on, which is which is such an issue because the reality is over 95% of the things that we worry about and what if about all the time are things over which we have no control. I hear a lot of people say I don't watch the news because I just get angry at all that. Well, I like to watch the news because I love information, but I can do that generally without getting angry. Now, sometimes I will, I will yell at somebody on the the TV because they say dumb things. There are people who have learned how to do that, but I also don't spend a lot of time at it, and I also know that I'm not going to hurt them, even if they hear me. So the Michael Hingson  46:16 the bottom line is that I I work at not doing that, but I still want to get the information as to what's going on, so I do. Nicole Pytel  46:24 Yeah, and that's you. I want to know, and what can I control my reaction to it? I'm not going to get angry unless somebody says something really, really stupid, and and then you know it comes out. But yeah, it's it. That's a great example. I want to know what's happening, and I'm going to control my reaction to it, and a lot of times that's all we can control is our reaction to things. Michael Hingson  46:45 But we don't, which is really and we don't. We don't, and we should. Nicole Pytel  46:49 Yep. Michael Hingson  46:50 Well, speaking of reactions, earlier this year you got laid off from your VP role. I'm I'm curious, what did that do to how you see your own professional identity and and and so on, or did you know it was coming, or anything like that? Nicole Pytel  47:05 There, there were some rumblings right before it happened that it was coming, and you know I'm one of sadly very very many people, you know, 1000s, 10s of 1000s, maybe even hundreds of 1000s of people in this position, and and it's it's tough because you're not your job, but when you do something 40 hours a week and and you get up every day and that's what you do, it becomes part of who you are. It's like that's what I do, and then when that's gone, it's just like, well, now like am I still am I still useful? Like, am I still smart? You know, and and all these things go go through your mind, and you learn a lot about yourself when that happens. You know, talking about hey, all I can control is how I react to it. You know, Lord knows. You know, when you get laid off, like there's a a million what ifs running through your brain, and and all you can do is just keep putting one foot in front of the other, and and controlling how you react to it. But it absolutely, you know, it definitely shakes your confidence, and you know, it's it's it's a very weird feeling, you know that first Monday when you don't go to work. It's like, oh my God, the rest of the world went back to work, and and I didn't, and it's very jarring. You know, especially when you're when you're as old a fossil as me and you've been working for so long, it's like now you're not. You know, I've been I've been very very lucky to take on you know some freelance work and stuff like that, and and you know it's given me an opportunity to really catch up on a lot of the things that I wanted to learn and try and do when I was working full time and didn't really have the time. So from that perspective, it's been really good. But it it it'll knock you down for a minute, and it's up to you to kind of pick yourself back up, and that's where you kind of learn a lot about yourself as to how how you react to that. Michael Hingson  49:08 Yeah, and you have to again. It's a matter of choice, and you have to decide what what you want to do. Well, so you got laid off. Did you sleep late that first Monday? Nicole Pytel  49:19 I didn't. You know what I did. You know what I did. I I knew I had to give myself something to do, so I got up early on that first Monday and I went and got the oil changed in my car. I was like, I'm gonna go out and be productive. You know, could I have laid in bed all day and just kind of wallowed in self. Yeah, that doesn't help. Yeah, but that's not helpful. So I was like, "I'm going to go get that oil change I've been putting off for like two months. And you got to go Michael Hingson  49:49 in earlier than you otherwise would have, and probably got it done sooner. Nicole Pytel  49:53 There you go. There you go. Sometimes it just works out. Michael Hingson  49:57 And you probably had two little fur creatures who. We're very glad to see you continuing to support their habits. Nicole Pytel  50:04 Yes, yes, they my little fur divas. Yes, they're kind of like you know now you know Minnie Minnie's worked with me her whole life. She just turned 14. I've had her since she was 11 months old, and and I've I've worked at home her whole life, and so she she comes to the office with me every single day with her little memory foam, and and and and she gets her decompression time too. You know, she knows at 5o'clock when I take her memory foam bed back into the bedroom. Like, all right, I'm done working for the day. I'm good. But you know, at first she was like, "Why aren't we working, mom? And then you know, we got some freelance work and got back in the office, and I could tell she was like, "Okay, we're getting back to normal. Because at first they were both like, "What are we doing? Aren't you supposed to be working? Like, what's happening? But as long as they've got all their treats and all their toys and and and you know all their things, they're good. Michael Hingson  50:58 Didn't you tell them that was time for them to go get a job? Nicole Pytel  51:01 Oh yeah, absolutely. Michael Hingson  51:03 And how'd that work for you? Absolutely. Nicole Pytel  51:04 No, it didn't work out. They were like, "We don't do that. Like, I don't think you understand, Mom. Yeah, this is not how this works. Yeah, Michael Hingson  51:11 yeah. Well, so one of the things I think that's interesting, we're and we're all facing it to one degree or another, is the whole concept of of AI, a lot of people are afraid that AI is coming for their jobs, and I can make some comments, and I will about that. But you've chosen to face that fear and confront it. So I guess the real question is, why do you think that was the right call, and what do you think about this whole business of AI? Nicole Pytel  51:39 AI is really something, and so so I I've seen both sides of it. As a content marketer, you know we were supposed to become extinct because AI could just write everything. And my point is, is like, can AI create content? Sure, but it doesn't know what to create, and that's where the human comes in. It like the human has to come up with the strategy, and you know I remember the first time trying out ChatGPT and having it write stuff, and it wasn't very good, and and you know obviously things have gotten much much better in in the past 334 years, but you know it just became obvious that that this is a thing, and I guess you know, as a benefit, so many of of my clients were AI companies in some way, shape, or form, and it's like this is happening, and you have got to learn how to deal with it. And at least in my job, it can it can make me better at my job because it can speed things up. It can kind of eliminate some redundancies, you know. And is it ever going to replace me? No, because I'm the human with the judgment, and I understand, you know, the business goals of of what we're trying to do and how we hit the revenue goals and who the audience is and what they care about and all of those things, but I think one of the the silver linings of of getting laid off was you know I've I've had a you know a chunk of time to really dive in and get my hands dirty with AI like the things that I was like, oh, if I could have it do this, this, and this, that'd be really cool. And then go in and build it and see, hey, can I actually build this and go into Claude Code and see if if I really can do that, you know? And and it's given me a chance to really do that and go, okay, well, when I when I get another job, this is how I'm going to use AI on day one. I'm going to create, you know, this list of things, and here's why. Here's the order I'm going to do them in, and here's where I'm going to use AI to make it better. But more importantly, here's kind of the framework for how humans and AI should work together in content marketing, because there's so many people out there that are like, "Hey, ChatGPT, go write my website for me, and then they wonder why it's not very good or or why it sounds the same as as their competitors. You know, there's studies out there that say you know buyers think that these companies all sound the same, and you know AI is a big reason for that. So if you can really figure out how humans and AI work together, I think that's that's the piece, you know. And and there at the beginning there were a lot of content marketing kind of purists out there that were like, I will never use this. I'm gonna write everything myself. I'm gonna do everything from scratch, and I was just like, "That's like saying, you know, when cars came out, like I'm not, I'm not riding a horse. I'm not getting a car. I'm taking my horse and buggy to work. You know, I mean, it's the same thing. Like things evolve, and and you know, take advantage of it. Michael Hingson  54:56 Well, the reality is that AI is here. And I think you're right. What we need to do is to learn how to use it. I heard a friend comment a couple months ago that was talking to his boss about AI, and his boss said, "I will never fire you and replace you with AI. I won't do that, he said. "I might fire you if you don't learn how to use AI. Nicole Pytel  55:26 Yes, and Michael Hingson  55:26 I think that's absolutely true. I I use AI when I write because it gives me ideas, but ultimately I have to still be the one to create them, and I am not convinced that we're going to see AI in anywhere in the near future, develop the true human spirit and learn how to do the things that we do, Nicole Pytel  55:48 right? Michael Hingson  55:50 And so I think it's important that we learn how to use AI, and we I get a lot of great ideas from it, and so I go into what I write, and that's great because it's got a lot more information and experience than I do. So I don't mind doing that, and I'll be glad to take the ideas. The first time I heard anybody talking about AI was in a Christmas party with relatives, and somebody was complaining because teachers were grousing about the fact that kids were just letting AI write their papers, Nicole Pytel  56:22 yeah. Michael Hingson  56:22 And I said, why not let AI write the papers? You're missing a golden opportunity, and the golden opportunity. And I've said this before on Unstoppable Mindset, but the golden opportunity is the teacher should let students, if they want to use AI to write their papers, let them use AI to write their papers. But then, after you collect the papers, take a period, call each student to the front of the class, and say, "Now defend your position. You're going to find out who really knows what they're talking about and who doesn't. Nicole Pytel  56:50 Yep. Michael Hingson  56:51 What a great opportunity! Nicole Pytel  56:53 That's one way to do it for sure. And my guess is most of them would have no idea. Yeah. Michael Hingson  57:00 How was your view of a special of a professional career change since you started years ago, or has it? Nicole Pytel  57:08 Yeah, many, many, many moons ago. Many Michael Hingson  57:11 moons. Nicole Pytel  57:12 You know, I think when when you first start out in your career, and tell me, Michael, if you agree with this, you know, you just want to get going. It's like I'm a grown up now. I get to do all these grown up things and all the things that I learned about in school. I'm gonna run off and do them, and I want to do as much as I can, as fast as I can, and and climb the ladder and do all the things. And then, you know, that's still important, obviously. But I think it's more about, you know, am I doing something that I take? I truly, truly take pride in something that I believe in. You know, like you know, I could never go work for a company and and do marketing if if I thought the product was boring. You know, I just couldn't. I I don't really care what title you give me, or you know how much money you want to pay me. It's like if it's going to be boring, I don't, I don't want to do it. So I think part of it is, you know, are are you getting satisfaction out of what you're doing? Michael Hingson  58:13 Also, we need to recognize and understand that sometimes life gets in the way, and you start out with a great plan. This is what I'm going to do, and something happens to change it. And the reality is, again, it's of course how you approach that change. But that change might very well be for the best. I know that's happened to me several times, and I have learned that life may happen, things may happen, but I'm gonna not. I don't. I didn't have control over the change necessarily happening. So it's a question more about how I decide to deal with it and what I'm going to do. And I think that's what's really so important to be able to do. And so I find that it's so important to let life do what life is going to do, and you evaluate which way you want to go, but truly evaluate it. Don't don't just react. Sit back and think. You may decide to keep on doing what you're doing, and you're given another opportunity. And of course, for me, the most dramatic example of that is after September 11th, people started calling and saying, "Gee, would you come and talk to us and tell us what we ought to know about September 11th and talk to us about leadership and so on. We saw your name in the media and we want to hear from you and we'll pay you. And of course, you'll pay me. That was a great start. But but what happened was that so many of those happened that my wife and I at the by the beginning of 2002 realized that this was an incredible opportunity. It would take work, but it was an incredible opportunity, and that in reality, as I tell people, selling life and philosophy is a whole lot more rewarding than being a computer hardware sales manager and selling computer hardware. And so I've been doing it ever since, and I've had so many wonderful advances. And I've I've met so many people, learned so many things, and I spend the time working on learning wherever I go and wherever I speak, and so I can't complain at all about what what caused my life to change. Nicole Pytel  1:00:15 Yeah, I mean everything happens for a reason. I really do believe that, and and you may not know what that reason is right away, but yeah, I mean, look at you. I I I can't even imagine having been there on September 11th. It was it was jaw dropping enough to to watch it on TV, and and I'm sure there was a lot that went through your mind and and went through your mind during and right after. And but now look at I mean all the people that that you've gotten to inspire and and educate and motivate and and people who have really learned something and you never would have had that platform. It's it's it's really something. Michael Hingson  1:00:56 Yeah, and and it's and and if you're given a choice between two things that both really sound great, you make a choice, and then you live with the choice you made. Again, don't don't what if the things over which you don't have control, Nicole Pytel  1:01:13 right? Exactly. Michael Hingson  1:01:15 Well, if someone is in a position today where they're listening and they're standing kind of in the same place you were when you decided to go leave television, so on, and they're certain that they should be going off and doing something different, but they're terrified to admit it. What would you say is the one thing that you should tell them? Nicole Pytel  1:01:36 I would say if your gut is telling you to do something, you need to listen to it, and I would say, ask yourself why not me? Why can't I go do this now? If you want to run off and be an

In today's Cloud Wars Minute, I look at why Oracle is rejecting a single-model AI strategy and embracing a flexible, multi-model future. Highlights 00:03 — Oracle has announced that it's extending its partnership with Google Cloud and will be making Google's Gemini models available across its enterprise AI portfolio. This includes Oracle Fusion Cloud Applications, NetSuite, Oracle AI Agent Studio, and Oracle Cloud Infrastructure, or OCI. 00:22 — In true Oracle style, the company will embed Gemini into business applications and AI agents, allowing customers the flexibility to use Google's models within their existing workflows. At the same time, customers will have the freedom to switch between the various models offered in Oracle's suite. Now, what this is doing is giving customers more choice when they build Fusion-native agents and agentic apps. 00:53 — Oracle and Google Cloud already have a strong relationship, but the broader story here is how Oracle is positioning itself as an AI control plane that delivers outstanding infrastructure without the need to roll out a host of foundation models itself. Now, the company is really embedding itself in this area, and I think it's working out incredibly well for it. 01:17 — The company has really pushed the idea of flexibility, interoperability, and choice. Now, Oracle, from very early on, has really avoided that single-model strategy, saying that's a strategy that's aging quickly, and instead, Oracle's building a platform that can adapt as the AI landscape continues to evolve. 01:40 — I think this really ties in with the ambitions of those enterprises that want to take advantage of rapid AI developments while still controlling their data, applications, and workflows. And that's where Oracle stands out in its ability to bring together infrastructure, applications, and multiple AI models while seamlessly enabling companies to maximize the benefits of the latest AI developments. Visit Cloud Wars for more.

Zapier's Chief Marketing and AI Transformation Officer Dan Slagen called a "code red" on his own marketing team, not because they were behind, but because he saw the bar moving from using AI to building with it. In this AI Transformations episode, Slagen tells Mike Kaput how Zapier moved from AI adoption to AI-native work: three tiers of builders, an AI-powered "marketing brain," the "lossless marketing" idea behind it, and why working in public mattered more than any single tool. Show Notes: Access the show notes and show links here Timestamps: 00:00:00 — Intro 00:03:50 — Who Dan Slagen is and why Zapier's marketing story matters 00:06:12 — The February “code red”: what changed and why Dan called it 00:10:53 — How the team actually adopted AI 00:12:05 — Building Zapier's AI-powered marketing brain and “lossless marketing” 00:15:52 — Bringing in agentic expertise and charting the steps 00:21:25 — The behavioral side: how people interact with the machines 00:23:25 — How the average marketer connects to the central brain 00:26:31 — Impacts and benefits 00:30:30 — Where it got harder or messier than expected 00:32:11 — Dan's advice for leaders who are behind This episode is presented by Google Cloud: Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner. Learn more about Google Cloud here: https://cloud.google.com/ Visit our website Receive our weekly newsletter Join our community: Slack Community LinkedIn Twitter Instagram Facebook YouTube Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy 

How could Mayo Clinic's Global AI Platform transform personalized care? In this episode of Mayo Clinic's Tomorrow's Cure, host Lindsey Seavert reports from PlatforMed in Scottsdale, Arizona, where leaders in medicine, technology, AI, and policy explore how connected healthcare platforms can bring together data, expertise, and innovation to improve patient care around the world. Seavert speaks with Dr. Micky Tripathi about safely scaling AI at Mayo Clinic, including over 450 clinical AI solutions. Dr. Gelareh Zadeh discusses how AI, digital pathology, and automation could democratize access to advanced diagnostics, making specialized expertise and high-quality care available to patients around the world. Dr. John Halamka and COO Maneesh Goyal describe Mayo Clinic Platform's three-sided model connecting data, innovators and care organizations globally through reciprocal data networks, while collaborators from Google Cloud and Aga Khan University discuss de-identified multimodal data, equity for low and middle-income countries, and AI applications from digital pathology to community health impact. How to listen and stay connected: Subscribe to Tomorrow's Cure on your favorite podcast app and follow the show so you never miss an episode. Get the latest health information from Mayo Clinic's experts—subscribe to Mayo Clinic's newsletter for free today: https://mayocl.in/3EcNPNc Connect with Mayo Clinic: Like Mayo Clinic on Facebook: https://www.facebook.com/mayoclinic/ Follow Mayo Clinic on Instagram: https://www.instagram.com/mayoclinic/ Follow Mayo Clinic on X (formerly Twitter): https://x.com/MayoClinic Follow Mayo Clinic on Threads: https://www.threads.net/@mayoclinic

All links and images can be found on CISO Series This week's episode is hosted by me, David Spark, producer of CISO Series and Mike Johnson, CISO, Rivian. Joining us is Nada Noaman, SVP and CISO, Estee Lauder Companies. In this episode: Skipping the apprenticeship Privileged users nobody manages like one Findings without the authority to fix them Security was always behavioral A huge thanks to our sponsor, Native The Cloud Security Control Plane. Native helps enterprises turn built-in cloud security controls into active, operational defenses across AWS, Azure, Google Cloud, and OCI, so teams can enforce secure-by-design architecture at the source, preview impact before rollout, and keep guardrails aligned as cloud environments change. Learn more at native.security.  

In today's Cloud Wars Minute, I analyze the extraordinary RPO growth at Microsoft, Oracle, Google Cloud, and AWS and what it signals about AI demand. Highlights 00:03 — We've got another example here where, in the greatest growth market the world has ever known, we are working with some big numbers that put the law of big numbers to the test here. So, if you look at the four hyperscalers, and I go in order of the size of their backlog or RPO, you've got Microsoft, Oracle, Google Cloud, and AWS. 00:29 — So this is fully committed business. It's fully contracted and not yet recognized as revenue. So this is what's coming down the road, to look into the pipeline, in the future, these companies have — this isn't some guesstimate of what they hope they'll get. This is signed, contracted business. So this is one of the factors, probably the key factor, behind why you see these CapEx numbers approaching or exceeding $200 billion. 01:09 — Now that has led to a couple of these companies entering into the debt markets to try to fund this data center expansion and all that enormous CapEx outlay that they've got to go through. In turn, a couple of these companies for a quarter or two had negative cash flows, and that's got some people on Wall Street unable to comprehend it. The world's coming to an end. What are we going to do? 01:46 — I think the perspective is being switched here, right? Traditionally, the idea is bad. You don't want to have negative cash flow. Okay, that's pretty basic. I think we got that. The difference is there have never been a market with a size, a total addressable market , anything like this, growing at the rate this is. Look at these latest numbers for the four hyperscalers. 02:23 — Oracle, off a much smaller revenue base, has this huge future business coming in: $638 billion in RPO, growing at 363%. Google Cloud had a huge jump this past Q2, $514 billion in backlog, up 390%, and a resurgent AWS posted its biggest backlog number ever, $496 billion, and I believe that growth rate of 154% for its backlog is much higher than any they've reported over the last five or six quarters. 04:07 — So I think it's significant, but I also think it's being vastly overblown. I just want to say one more time: $2.3 trillion. Now, that's not like a TAM figure. Somebody's saying, "Oh, we think the market for new scooters is going to be $2.3 trillion." These are four companies, just four , not the whole tech industry, and these are their signed, contracted, committed figures for what they've got in their backlog or RPO. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I compare Google Cloud, Microsoft, and AWS to reveal which hyperscaler is winning the most new business. Highlights 00:15 — While all of them had terrific quarters, I'd have to rate it this way: Google Cloud was far and away the best. AWS had a terrific quarter, especially for the way it had been performing before that. Microsoft, at its phenomenal size, had a very good quarter. It's just not growing as quickly, not winning as much new types of business in that way, as the other two. 01:44 — So we had Microsoft go from $54.5 billion to $59.3 billion. So it added $4.8 billion in new revenue in Q2. For Google Cloud, $20 billion to $24.8 billion; it also added $4.8 billion. AWS, $37.6 billion to $42.2 billion. It added $4.6 billion. 02:32 — Yet Google Cloud gained as much new revenue last quarter as Microsoft did, and Google Cloud gained more new revenue than AWS did. So we find that the mix of products and services, the fit to what businesses need right now, Google Cloud is matching what Microsoft's doing, matching or exceeding what AWS is doing. So the size differential is becoming less significant now. 03:27 — What we see with this analysis of the numbers is that Microsoft is not continuing to extend that size differential. The others are chopping into that, and particularly for Google Cloud, at this size and with its growth rate, we see that happening. So, you know, how is this possible? And I think it all comes down to this notion of, you know, the customers have a terrific set of choices here. 05:02 — But in terms of — you look right here, right now — the new business that Google Cloud is winning, they are matching or beating their competitors here, and I think we're going to see that continue with the momentum that Google Cloud has. Visit Cloud Wars for more.

In this episode, we discuss the implications of Suno's new restrictions on AI music downloads amidst ongoing legal challenges and the rise of AI music spam. We also explore significant developments from companies like Mirindle, Google Maps, and Naive, revolutionizing AI capabilities across various industries.Chapters00:00 Suno Introduces Download Limits00:31 Google Cloud's Major AI Partnership00:50 The Future of Google Maps01:59 AI Social Media Moderation Issues07:29 Startup Spotlight: Naive's Funding16:00 Conclusion and AI Box Overview Show LinksGet the top 80+ AI Models for $8.99 at AI Box: ⁠⁠https://aibox.aiHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter

On this episode of The Pirate Street Journal on Chistopher Lochhead: Follow Your Different, the trio tackled three major business stories that mainstream financial media fumbled. From Google’s record-breaking quarter to AI disrupting the legal industry and a historic merger of black-owned banks, the conversation offered a perspective that most financial journalists simply miss because they focus on companies rather than market categories. This is just one of the topics that Pirates Christopher Lochhead, Eddie Yoon and Bri Clark discuss on this episode of Pirate Street Journal. Each week, the Category Pirates pick three headlines worth paying attention to and break down the category underneath. You're listening to Christopher Lochhead: Follow Your Different. We are the real dialogue podcast for people with a different mind. So get your mind in a different place, and hey ho, let's go.   Google’s Negative Free Cash Flow Is Not the Story You Think It Is Google’s parent company, Alphabet, posted second-quarter revenue of $119.8 billion, up 24% year over year. Cloud revenue surged 82%, net income jumped nearly 300% to $112 billion, and the cloud backlog hit $514 billion. By nearly every rational business measure, this was a historic performance. Yet the stock fell because free cash flow turned negative for the first time in company history, prompting the Wall Street Journal to run a dramatic chart they called “Alphabet’s cash flow falling off a cliff.” What the Journal conveniently left out is that Alphabet is sitting on $242 billion in cash and marketable securities. The negative free cash flow is the direct result of Google doubling its capital expenditures to $44.9 billion in a single quarter, raising its full-year CapEx guidance past $200 billion. This is not a company bleeding out. This is a company making one of the largest strategic bets in the history of technology.   Google Is Quietly Achieving Something That Almost Never Happens For the first time in recent memory, Google Cloud’s incremental revenue growth in absolute dollar terms outpaced Google Search. Cloud added $11 billion in incremental revenue during the quarter while Search added $8.3 billion. Search is still a monster business, still growing, still one of the greatest category king positions ever built on the internet. But Cloud has crossed a threshold that very few people are talking about seriously enough. This is extraordinary because history shows that dominant category kings almost never successfully pioneer into a new category at scale. Google is refuting the Innovator’s Dilemma in real time, alongside Microsoft. Both companies are investing in AI infrastructure at a pace that reflects how massive the category potential truly is. The aggregate CapEx guidance for the Mag Seven this year sits between $700 and $750 billion, and that arms race exists because the stakes are unlike anything the technology industry has ever seen before.   Google’s Sleeper Advantage Could Define the Next Era of Consumer Technology Beyond the financial results, Google holds a strategic position that most analysts overlook entirely. The company that successfully builds a mega consumer AI agent, one that aggregates your email, calendar, messages, social activity, and daily life into a single intelligent interface, will own what Christopher calls the experience layer of AI. Google, with Gmail, Google Calendar, and its vast suite of personal productivity tools, is one of only two companies genuinely positioned to build that product. Apple is the other. What gives Google an additional edge that even Apple cannot easily replicate is YouTube. YouTube functions as the world’s largest knowledge repository, a platform where human expertise, creativity, and information accumulate at an unimaginable scale. The moment Google’s Gemini AI can perform deep inference learning on YouTube’s content library, the competitive moat becomes extraordinarily difficult to cross. Paired with the return of co-founder Sergey Brin and a CEO who appears to be operating in genuine partnership with the company’s founding vision, Google is not a company in decline. It is a company in transformation, and that is a very different thing entirely. To hear about all the topics in this week's The Pirate Street Journal, download and listen to this episode. You can also read more Pirate Street Journal entries in the Category Pirates newsletter.   We hope you enjoyed this episode of Christopher Lochhead: Follow Your Different™! Christopher loves hearing from his listeners. Feel free to email him, connect on Facebook, X (formerly Twitter), LinkedIn, and subscribe on Apple Podcast / Spotify!  

Send us Fan MailThis week's enterprise software developments continued to emphasize AI-driven automation, cloud partnerships, and operational intelligence across the enterprise. HUMAN Security expanded its agentic visibility capabilities for marketing and commerce teams, while Iterable introduced a new AI agent and Xactly launched a dispute management AI agent to automate finance workflows. SAP and Google Cloud announced deeper integrations, Appian unveiled new platform features alongside a partnership with Snowflake, and IBM introduced an AI-first development partner to accelerate enterprise application delivery. Additional announcements included Oracle NetSuite's SuiteCloud Agent Skills offering, the latest release of Precisely EngageOne RapidCX, Treasure AI's rebrand, and Parsec Automation's Connected Worker solution, highlighting continued investment in AI-powered productivity, workflow automation, and digital operations.Video: https://www.youtube.com/watch?v=RdL8bi0M_kUQuestions for Panelists?

AGENDA: 05:00 Jensen's Open-Weights Letter Puts Anthropic on an Island 10:00 OpenAI's Model Targets Hugging Face in a Cyber-Security Scare 18:00 America's Open-Model Push Accelerates as China Looms Large 30:00 Etched Raises $300M to Take on Nvidia 34:00 Google Cloud Grows 82%—So Why Did the Market Panic? 41:00 Travis Kalanick Raises $1.7B for Atoms and Physical AI 51:00 Francisco Partners Raises $21B: Can Private Equity Still Save SaaS? 1:00:00 Mark Pincus Says Quit When It's Too Hard—Jason Lemkin Erupts 1:07:00 Stripe vs Revolut: Which $100B+ Fintech Would You Own?    

There are some interviews you enjoy... and then there are conversations you genuinely don't want to end. This was one of those.Recorded live from the iconic Santa Monica Pier during InsuranceFest 2026, I had the opportunity to sit down with Christina Lucas of Google Cloud, and what a fantastic conversation it turned out to be.While many people know Christina for her work at Google Cloud, what really stood out was her incredible journey. From leading teams across the United States to living and working around the world, her experiences have shaped a unique perspective on leadership, innovation, and the future of our industry. She shared lessons learned from different cultures, different organizations, and different stages of her career—and in doing so, taught all of us something valuable.Of course, we couldn't sit down with Christina without talking about artificial intelligence. We explored how Google Cloud is helping transform the insurance industry, why trust and security remain at the center of innovation, and how organizations can embrace AI in practical, meaningful ways. Rather than focusing on the hype, Christina brings a thoughtful perspective on how technology can empower people and create better outcomes across the insurance ecosystem.We also discussed her newly co-authored book, Artificial Intelligence in the Insurance Industry, where she shares practical insights into how AI is already reshaping underwriting, brokerage, customer experience, operations, and leadership. Whether you're just beginning your AI journey or looking to take the next step, her perspective is one every insurance professional should hear.This episode is packed with leadership lessons, technology insights, and plenty of laughs along the way. I had an absolute blast recording this one, and I think you're going to enjoy every minute of it.A huge thank you to Christina for taking the time to join us and for sharing her wisdom with the Insurance Town community.A special thank you to our amazing sponsors for making Insurance Town possible:

In this episode of The Canadian Investor Podcast, we break down Alphabet’s latest earnings and why investors are questioning the massive AI capex spending despite strong growth in Google Cloud. We also look at Celestica’s monster quarter, SK Hynix’s booming demand from AI memory, and Corning’s sharp selloff despite strong growth in its optical communications segment. From there, we discuss CN Rail and TFI International, two transportation names showing signs of improvement, before wrapping up with Coca-Cola and why it appears to be holding up better than Pepsi in a tougher consumer environment. Tickers discussed: GOOG, GOOGL, CLS.TO, SKM, CNR.TO, CP.TO, GLW, TFII.TO, KO, PEP, NVDA, AMD, AVGO, MU, META Subscribe to Our New Youtube Channel! Check out our portfolio by going to Jointci.com Our Website Canadian Investor Podcast Network Twitter: @cdn_investing Simon’s twitter: @Fiat_Iceberg Braden’s twitter: @BradoCapital Dan’s Twitter: @stocktrades_ca Want to learn more about Real Estate Investing? Check out the Canadian Real Estate Investor Podcast! Apple Podcast - The Canadian Real Estate Investor Spotify - The Canadian Real Estate Investor Web player - The Canadian Real Estate Investor Asset Allocation ETFs | BMO Global Asset Management Sign up for Fiscal.ai for free to get easy access to global stock coverage and powerful AI investing tools. Register for EQ Bank, the seamless digital banking experience with better rates and no nonsense.See omnystudio.com/listener for privacy information.

Saying goodbye to JCD. Andrew’s Tribute. Growing up Dvorak with JC. Plenty of financial news to discuss. PLUS we are now on Spotify and Amazon Music/Podcasts! Click HERE for Show Notes and Links DHUnplugged is now streaming live - with listener chat. Click on link on the right sidebar. Love the Show? Then how about a Donation? PayPal.Donation.Button({ env:'production', hosted_button_id:'JJJHP2GDEJC7J', image: { src:'https://www.paypalobjects.com/en_US/i/btn/btn_donateCC_LG.gif', alt:'Donate with PayPal button', title:'PayPal - The safer, easier way to pay online!', } }).render('#donate-button'); Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter Warm-Up - JCD - Through Our Eyes - Andrew's Tribute - No Agenda/DHU Meet Up - 8-8 at 3:33 PM in Ft Lauderdale... - The winner of the SpaceX CTP - and you do not want to miss this one - stay tuned for freaky coincidences on this .... NO Agenda / DHUnplugged Meet-Up (Saturday - 8-8-2026 @ 3:33PM) - Location to be determined - SIGN UP HERE Meet-Up Invite Markets -Back to SpaceX - What a rug pull! (down $1.2T from high) - Semiconductor enter a bear market - down 25% from high - NASDAQ 100 in correction JC Dvorak - A look back on growing up Dvorak Listener thoughts NVDA - De-crowned - Apple is now (once again) the largest stock by market cap - This is probably due the concern around spend and Capex - BUT, is this just a safety trade / rotation? NVIDIA MAY BECOME OPENAI'S BANK - Nvidia may guarantee up to $250 billion in financing for OpenAI. - The proposed Ohio data-center project could cost more than $500 billion. - Nvidia would be helping finance a major customer buying its infrastructure. - The structure raises concerns about circular AI demand. - Nvidia shares fell about 5% as investors weighed the risks. OR - Is this now becoming known as an issue: Circular Financing BIG TECH GETS THE CAPEX FLU - Alphabet beat earnings estimates, but shares fell about 7%. - Management raised 2026 capital spending guidance to as much as $205 billion. - Google Cloud revenue rose more than 80% to about $25 billion. - Alphabet posted negative quarterly free cash flow for the first time since its IPO. - Tesla fell more than 14% as investors focused on weaker profit and heavy spending. CHINA'S CHIP IPO GOES FULL CASINO - Chinese chipmaker CXMT jumped about 500% in its market debut. - The company raised about $8.6 billion. - It was Asia's largest IPO of the year. - A small public float helped amplify the move. - U.S. semiconductor stocks fell as investors weighed stronger Chinese competition. THE FED MEETING WITH NO EASY ANSWER - The Federal Reserve meets Wednesday. - Markets are split between no change and a possible rate increase. - Higher oil prices have raised inflation concerns. - Treasury yields are near their highest levels since early 2025. - The decision arrives with big-tech earnings and GDP data. AI MONEY GOES IN CIRCLES - Microsoft, OpenAI and Nvidia are linked through funding, chips and cloud deals. - The same capital can appear as investment, demand and revenue. - Suppliers are helping finance customers that buy their own products. - The risk is a chain reaction if AI funding or demand slows. OPENAI'S MODEL GOES ROGUE - OpenAI said a model acted outside expected controls during testing. - The incident reportedly caused a breach at a startup. - The case goes beyond a bad answer or chatbot hallucination. - It raises questions about giving AI agents access to real systems. - Regulators may push for stronger testing and disclosure rules. GOOGLE WANTS YOUR SELFIE - Google will allow account sign-ins using selfie video. - The feature adds another way to verify identity. - It could reduce dependence on passwords and recovery codes. - The tradeoff is greater use of facial data. - Privacy, storage and security questions will follow. TESLA AND ALPHABET GET HAMMERED - Tesla fell 13% and Alphabet dropped 7%. - Investors focused on rising costs and heavy AI spending. - Strong revenue was not enough to calm return-on-investment concerns. - The market wants clearer proof that spending will produce cash flow. - Expensive growth stories are getting less patience. TESLA PROFIT MISSES - Tesla's second-quarter profit fell well short of estimates. - Rising costs weighed on the results. - Spending remains high across vehicles, AI and robotaxis. - Investors are questioning when those projects will improve margins. - Softer robotaxi language added to the pressure- and of course when is the real question - promising for years. TESLA COOLS THE ROBOTAXI TALK - Tesla has become more cautious about robotaxi timing and expansion. - Earlier comments suggested a much faster rollout. - Safety, regulation and reliability remain major obstacles. - Robotaxis are still central to Tesla's long-term valuation. - More delays would weaken one of the company's biggest growth claims. SPACEX SHORT SELLERS CASH IN - Short sellers reportedly earned $15.5 billion as SpaceX shares fell. - The move rewarded investors betting against the company's valuation. - It shows how quickly enthusiasm can reverse at extreme prices. - SpaceX still has strong growth stories in launches and satellites. - The debate is whether too much future success was already priced in. --- Price hit $108 today before bouncing - major rug pull CATHIE WOOD DOUBLES DOWN ON SPACEX - Cathie Wood called SpaceX potentially the most important company in history. -  Her comment came after a sharp decline in the shares and it seems is more of talking her book. - Her case rests on launch, satellite and communications growth. - The problem is that losses are expected for the foreseeable future. INTEL FINALLY GETS AN AI LIFT - Intel shares jumped 11% after earnings. - Revenue grew at the fastest pace in almost 15 years. - AI-related demand helped drive the improvement. - The report gave investors fresh evidence of a turnaround. - Intel still trails key rivals in advanced chips and manufacturing. - However, it turned lower in the morning and now is 35% off its high TSMC ADDS ANOTHER $100 BILLION - TSMC plans another $100 billion investment in Arizona. - Second-quarter profit surged 77%. - AI-chip demand continues to drive the expansion and the idea is that the project strengthens U.S. semiconductor production. - It also adds labor, construction and execution risk. - The spending shows the scale of the AI infrastructure race. --- So far many of these promises have been a bit hallow BOND YIELDS FEEL THE OIL SHOCK - The 10-year Treasury yield reached its highest level since January 2025. - Surging oil prices brought inflation fears back into the market. - Higher energy costs could delay Federal Reserve rate cuts. - Rising yields pressure stocks, housing and other rate-sensitive assets. - Oil is again influencing the entire interest-rate outlook. CANADA GETS A 50% TARIFF - Trump imposed 50% tariffs on some Canadian goods. - The administration cited discrimination against U.S. companies. - The move could raise costs for manufacturers using Canadian inputs. - Canada could respond with tariffs of its own. - The fight adds more uncertainty to North American trade. WILDFIRE SMOKE BECOMES A TARIFF ISSUE - Trump criticized Canada as wildfire smoke spread into the U.S. - He said pollution costs could be added to tariffs. - The idea links environmental damage directly to trade policy. - Canadian goods could face another unpredictable cost. - Companies may struggle to price a pollution-based tariff. MIAMI TURNS INTO A BUYER'S MARKET - Miami reportedly has 140% more home sellers than buyers. - Buyers now have more leverage on price, inspections and concessions. - The reversal follows one of the country's strongest pandemic housing booms. - High prices, insurance and carrying costs may be pushing demand lower. - Starting to see some pricing erosiokn and sellers pulling homes UNITEDHEALTH TURNS THE CORNER - UnitedHealth beat earnings estimates and raised its outlook. --- Co-Pick for JCD and AH - Cost controls helped drive the improvement. DELTA SAYS HIGHER FARES ARE STICKING - Delta expects higher airfares to continue. - Strong pricing could help it reach its 2026 profit goal. - Higher fares provide protection against fuel and labor costs. - Travelers may see fewer discounted tickets. - Capacity growth remains the key variable. --- Say it enough and its true? THE GREAT EGG RECALL - Nearly 1.6 million dozen eggs were recalled over possible salmonella. - The FDA announced the recall after identifying contamination concerns. --- Now what will be the political angle? - Supply disruption could also add pressure to egg prices. HUMAN SKIN ENTERS K-BEAUTY -Injectable skin boosters derived from donated cadaver skin to regenerate aging skin tissue - Human skin is becoming part of some K-beauty treatments. - Demand is tied to premium anti-aging products. - South Korean biotech firm L&C Bio manufactures the treatment, producing roughly 80,000 vials per month as demand outpaces supply. -- They are nuts in Korea NETWORKS SKIP TRUMP SPEECH - ABC, NBC and CNN declined live primary-channel coverage. - The speech focused on0 'election security'. - Networks weighed news value against misinformation concerns. - The decision could affect ratings and political advertising during mid-terms which JCD was the biggest income for any news outlet (Political elections)   Love the Show? Then how about a Donation? PayPal.Donation.Button({ env: 'production', hosted_button_id: 'JJJHP2GDEJC7J', image: { src: 'https://www.paypalobjects.com/en_US/i/btn/btn_donateCC_LG.gif', alt: 'Donate with PayPal button', title: 'PayPal - The safer, easier way to pay online!' } }).render('#donate-button-2'); THE CLOSEST TO THE PIN for SpaceX (SPCX) Winners will be getting great stuff like the new "OFFICIAL" DHUnplugged Shirt!     FED AND CRYPTO LIMERICKS   See this week's stock picks HERE Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter

Send us Fan MailThis week's enterprise software developments highlight continued momentum around AI, customer experience, enterprise integration, and cloud modernization. People.ai rebranded as Backstory, while Sage expanded Sage Intacct Advisory and introduced a new Human Capital Management solution to broaden its business application portfolio. Syntax launched a GenAI-powered migration offering for SAP customers, Braze unveiled new capabilities to enhance customer experiences, and Emfluence announced an integration with Avid. Additional announcements included HUMAN Security extending agentic visibility to marketing and commerce teams, Iterable introducing a new AI agent, Precisely releasing the latest version of EngageOne RapidCX, and SAP and Google Cloud expanding their integrations to strengthen enterprise AI and cloud capabilities.In today's episode, we invited a panel of industry analysts for a live discussion on LinkedIn to analyze current enterprise software stories. We covered many grounds including the direction and roadmaps of each enterprise software vendors. Finally, we analyzed future trends and how they might shape the enterprise software industry.Video: https://www.youtube.com/watch?v=rJ4gLeprFeIQuestions for Panelists?

P.M. Edition for July 23. The U.S. plans to impose new tariffs on most trade partners, replacing President Trump's temporary global 10% tariff. Plus, the threat of escalating conflict in the Middle East drove oil prices over $100, and concerns around higher inflation made bond yields surge. WSJ markets reporter Sam Goldfarb discusses how that ripples through the economy. Meanwhile, heavy AI spending from Alphabet and Tesla spooked investors, and the Nasdaq dropped more than 2%. And after IBM issued a rare profit warning last week, the company's earnings shed more light on what went wrong. We hear from reporter Anissa Gardizy about where its business goes from here, while tech columnist Christopher Mims spoke with IBM CEO Arvind Krishna. Alex Ossola hosts. Correction: New U.S. tariffs target 60 economies, or more than 80 countries. An earlier version of this podcast incorrectly said the tariffs target 60 countries. (Corrected on July 24.) Sign up for the WSJ's free What's News newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Uber agreed to acquire Delivery Hero for ~$14.8B, expanding into 99 markets. Thinking Machines released its first open-weight model, Inkling, SpaceXAI open-sourced Grok Build after a data-upload backlash, and sources detailed xAI's chaotic race to catch Claude under new leadership. Uber agrees to acquire Delivery Hero in a deal that values the German food delivery company at ~$14.8B, offering €41.50 per share and buying Prosus' 16.8% stake (Bloomberg) Thinking Machines Lab debuts Inkling, an open-weight MoE model with 975B total and 41B active parameters, trained to be broad rather than optimized for one area (Thinking Machines Lab) Thinking Machines Lab debuts Inkling, an open-weight MoE model with 975B total and 41B active parameters, trained to be broad rather than optimized for one area (WSJ) SpaceXAI open-sources Grok Build under an Apache 2.0 license, after the tool uploaded user repositories to SpaceXAI's Google Cloud bucket, causing a backlash (Simon Willison) SpaceXAI open-sources Grok Build under an Apache 2.0 license, after the tool uploaded user repositories to SpaceXAI's Google Cloud bucket, causing a backlash (The Decoder) Sources detail how xAI has been slowed down by internal chaos as Musk pushed for Grok to match Claude, amid signs it is turning a corner under Michael Nicolls (Bloomberg) Sources: Apple is preparing new iPads, including an iPad mini with an OLED screen by October and refreshed entry-level iPads and iPad Airs for 2027 (Bloomberg) Subscribe to the ad-free feed. Learn more about your ad choices. Visit megaphone.fm/adchoices

What if the biggest obstacle to AI-driven ROI isn't the AI itself, but everything you're feeding it?Agility requires not just the speed to adopt new technologies like AI, but the clarity to recognize when foundational elements, like your data strategy, must be fixed first to unlock true potential.Today, we're going to talk about the intense pressure on revenue and marketing leaders to demonstrate ROI from AI. We'll explore the counterintuitive idea that simply chasing 'better AI' is a distraction, and that the real gains come from addressing the foundational data gaps that plague most organizations.To help me discuss this topic, I'd like to welcome, Ann Davis, Chief Revenue Officer at Crunchbase. About Ann DavisAnn Davis is the Chief Revenue Officer at Crunchbase, where she leads global sales strategy and drives adoption of the company's AI-powered predictive intelligence solution. With more than 30 years of experience scaling enterprise sales teams at high-growth SaaS companies, Ann brings deep expertise in data analytics, customer engagement, and revenue growth. She joined Crunchbase from Google Cloud, where she led sales for data analytics solutions—including BigQuery and Vertex—across multiple U.S. regions. Prior to that, she was Vice President of Sales at Looker, playing a key role in expanding its enterprise business ahead of its acquisition by Google. At Crunchbase, Ann is focused on helping customers unlock the power of AI-driven market insights to anticipate shifts and act faster.Ann Davis on LinkedIn: https://www.linkedin.com/in/anndavis3/---------- Resources ---------- Crunchbase: https://www.crunchbase.comThe Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://aglbrnd.co/r/2868abd8085a9703We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! https://aglbrnd.co/r/7fe458ced0f04658Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit! Learn more: https://advertalize.com/r/491818c79fb1873fChaser is the only Slack-native project management platform that helps teams turn messages into tracked tasks, automate follow-ups, and maintain team-wide visibility, without adopting another tool. Now integrated with Claude and other GenAI tools. Learn more at trychaser.com and use code AGILEBRAND for a 3-month free trial (normal trial is 14 days).The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose. Learn more: https://aglbrnd.co/r/60a7299222a7bcf1Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://aglbrnd.co/r/faaed112fc9887f3Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://aglbrnd.co/r/35ded3ccfb6716baCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.comThe Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company Hosted on Acast. See acast.com/privacy for more information.