Podcasts about Orchestration

AI can finally write back to the plant floor, but only if you can trust it. Chris Stevens and Annemarie Breu of Siemens explain how orchestration makes that safe.Industrial AI has reached a turning point. Manufacturers can already collect data, contextualize it, and surface insights, but the hardest step has always been turning insight into action on real control equipment. Chris Stevens and Annemarie Breu of Siemens explain how an orchestration layer finally closes that loop. Annemarie frames the tension clearly. Automation depends on determinism, while large language models are probabilistic by design, so the goal is to bring that discipline into AI and validate any suggestion before it changes a set point.Most executive conversations start with return on investment, and two forces are making the case easier to prove. The workforce shortage has stretched the expected payback window from 18 months toward 36 months, and when a line cannot run for lack of people every idle minute costs thousands of dollars. The other driver is overall equipment effectiveness, since most plants run near 70 percent OEE and even a fraction of a percent of gain can justify a project. Energy is a standout case too. A BorgWarner sustainability effort used a digital twin to flatten demand peaks and reportedly paid for itself in under six months, even as data center growth pushes electricity demand higher through 2040.On trust and safety, Annemarie borrows a principle from industrial safety. Just as fail safe IO modules rely on two channel evaluation, every AI suggestion is validated against a state machine, a workflow, or a physics based digital twin before the orchestration layer passes it to a controller. With virtual commissioning and soft PLCs a change can be tested virtually, approved by a human in the loop, and only then written to control, an approach PepsiCo and NVIDIA echoed at CES when they called the digital twin a must have. Making AI real, the pair argue, comes down to discipline, clear scope, acceptance criteria, and focused 90 day challenges, plus the change management and user experience that drive adoption. Their favorite quick win is preventive maintenance driven by machine data, which both BorgWarner and Maersk tied to millions in savings.About Chris StevensChris Stevens is President of US Automation at Siemens, where he leads a roughly one billion dollar business spanning software, services, and hardware. He brings more than 25 years across Siemens Digital Industries, starting in the field selling assembly and test equipment, moving into the software and digital twin world, and returning to automation to bring the hardware and software sides of the business together.About Annemarie BreuAnnemarie Breu is a senior technology leader at Siemens Digital Industries focused on automation software deployment and customer technology partnerships in the US. She began at Siemens about a decade ago as a systems engineer in the San Francisco Bay Area, working with consumer electronics manufacturers on virtual commissioning and digital twins. Her work today centers on bringing the determinism and reliability of automation into industrial AI.Timestamps0:00 Introduction and Automate 2026 preview2:50 Meet Chris Stevens and Annemarie Breu9:30 The first AI question is always ROI14:00 Workforce gaps and OEE drive the business case19:30 Energy management and the data center demand surge23:20 Data, sensors, and contextualization requirements28:00 Guardrails, hallucinations, and two channel validation32:40 The digital twin and the human in the loop37:40 How partners and integrators move up the stack45:30 What it takes to make AI real on the floor55:50 Preventive maintenance as a quick win59:40 Predictions, career advice, and book picksAbout Your HostsVladimir Romanov is a co-host of The Manufacturing Hub Podcast and the founder of Joltek, an independent manufacturing and industrial automation consulting firm specializing in modernization strategy, digital transformation, and workforce development. Joltek works with manufacturers and investors to de-risk modernization and build the internal capability to sustain results.Connect with Vlad: https://www.linkedin.com/in/vladromanov/Want to go deeper? Vlad and the team at Joltek have covered related topics here:Edge Computing and the Value of AI in Manufacturing Data: https://www.joltek.com/blog/edge-computing-ai-value-manufacturing-dataIT and OT Architecture Integration: https://www.joltek.com/services/service-details-it-ot-architecture-integrationDave Griffith is a co-host of The Manufacturing Hub Podcast and founder of Capelin Solutions, an industrial automation firm helping manufacturers adopt smart manufacturing technology. He brings 15 years of experience in industrial automation and digital transformation.Connect with Dave: https://www.linkedin.com/in/davegriffith23/Subscribe to Manufacturing Hub: https://www.manufacturinghub.liveLinkedIn: https://www.linkedin.com/company/manufacturing-hub-networkYouTube: https://www.youtube.com/@ManufacturingHub

Cal built the kind of life most men spend their whole lives chasing. Then a night in Vegas showed him it wasn't the one he was meant to live.Cal Callahan walked away from a successful career in finance to host The Great Unlearn and build Unlearn Ventures, a fund and studio backing conscious projects that put people over profit. He lived the accumulation side of the equation long enough to know exactly what it costs.Net worth and self-worth are not the same thing, and most men find that out too late. Cal breaks down the season of unlearning, what his healing work with Kyle Coursey cracked open, why old patterns resurface, and what open-mindedness really requires.You'll learn:[0:00] Introduction[7:56] Why none of Cal's success came to save him when it counted[18:28] How a plant medicine glimpse fades without integration, and why habits snap back[24:07] Net worth as a replacement for self-worth, and the 30-year accumulation trap[33:39] Why $100 million three years ago would've landed him in the same pickle[42:34] The currency of relationships and spotting transactional energy in the room[1:17:59] Selling the float tank, unfollowing 1,500 people, and the lightness of purging[1:27:55] Why open-mindedness means letting old information out, not just new in[1:44:21] Brandy Gilmore, the cops, and discovering a belief he didn't know was closed[1:56:29] Resume virtues vs. eulogy virtues and the dark night that leads to liberation[2:02:40] Boyd Varty, Adyashanti, and Ram Dass as the teachers who shaped himResources Mentioned:Ian Carroll on America's Deadliest Mass Shooting and Unanswered Questions They Don't Want You to Ask | YouTubeThe Great Unlearn 199. Hapa Lomi: A 10-Hour Deep Reset with Kyle Coursey and Luke Storey | PodcastThe Great Unlearn 202. Emotional Mastery: From Understanding to Embodiment with David Sutcliffe | PodcastThe Great Unlearn 66. Trusting the Orchestration of Our Life Luke Storey | Luke Storey | PodcastThe Great Unlearn 113. Transforming the Nice Guy Persona, Embracing Boundaries and Living in a Meditative State | with Luke Storey | PodcastThe Great Unlearn 151. Luke Storey | Aligning with the Rhythms of Your Creative Process | PodcastRead: The Lion Tracker's Guide To Life: A Transformative Guide to Finding your Purpose by Boyd Varty | BookMartha Beck | WebsiteAdyashanti | WebsiteRam Dass | WebsiteFull show notes at lukestorey.com/calRelated The Life Stylist Episodes:Mysticism and Music: The Esoteric Healing Journey of Doyle Bramhall II | PodcastThis Frog's Skin Secretion Can Heal You: Kambo | Caitlin Thompson | PodcastThis Man Can Reset Your Life in One Day w/ Kyle Coursey | PodcastSacred Currency: Bridging Frequency, Flow, and Financial Power w/ Elizabeth Ralph | PodcastPaul Chek: Living as God's Mirror & Finding Divinity Through Duality on Earth & Beyond | PodcastMarianne Williamson: Why Miracles Are Our Birthright & Love Is Our Highest Purpose | PodcastThe Secrets to Healing Your Body Through Your Mind with Brandy Gillmore | PodcastThe War Is Over: Making Peace With Your Mind | PodcastBad Trips and Psychic Flips: Round and Round in the Medicine Wheel w/ Kyle Kingsbury | Podcast5-MeO-DMT Integration Session: Bufo Alvarius Toad Medicine w/ Aubrey Marcus | PodcastFind more from Cal:The Great Unlearn |

HFS Executive Research Leader David Cushman learns how Agentic Tech market leader EMA is going further in productizing agentic work, delivering hard ROI, and building trust in regulated industries. Key point discussed:The importance of redefining what work looks like, why change management is key, and the importance of understanding both business needs and processes, to deliver ROI with AI.Learn more about the 2026 HFS Agentic Services Report - covering 35 service providers: https://www.hfsresearch.com/research/hfs-horizons-agentic-technology-2026/

Modern work can be frustrating and chaotic—if you don't have the right tools. From context engineering to multimodal search, go behind the scenes and hear how Dropbox engineers are building AI that actually understands you, so you can focus on the work that matters most. If you're new to Working Smarter, we've travelled from the F1 track to the bottom of a lake, and heard real stories from chefs, doctors, lawyers, and founders about how AI is helping them do more of what they love about their jobs. But in our third season, we're talking to the people behind the tools—the engineers and product leaders building helpful, time-saving AI features into the Dropbox experience you already know and trust. You'll hear all about their work on agents, inference, security, and, of course, how the people building AI use AI themselves. ~ ~ ~  Working Smarter is brought to you by Dropbox. Find, organize, and share your work—all in one place—with context-aware AI from Dropbox. You can listen to more episodes of Working Smarter on Apple Podcasts, Spotify, YouTube, Amazon Music, or wherever you get your podcasts. To read more stories and past interviews, visit workingsmarter.ai This show would not be possible without the talented team at Cosmic Standard: producer Ben Montoya, sound engineer Aja Simpson, technical director Jacob Winik, and executive producer Eliza Smith. Special thanks to our illustrator Fanny Luor, marketing consultant Meggan Ellingboe, and editorial support from Catie Keck.  Our theme song was composed by Doug Stuart.  Working Smarter is hosted by Matthew Braga. Thanks for listening!

In this episode of Inside the Funnel, Richard Lane sits down with Vincent Chapus, veteran sales leader and co-founder of Palladio GTM, to cut through the AI noise and get specific about what's working.Vincent has built SDR teams from scratch at PayPal, Oracle and TIBCO. Now he helps companies stop buying tools in silos and start engineering their go-to-market from end to end. The centrepiece of that work? Orchestration - using platforms like Clay to connect signals, enrich data, and get the right information in front of the right rep at exactly the right moment.This episode covers what the 'silent killer' of SDR productivity really is, why 20% of your CRM probably isn't your ICP, how AI agents are already doing the work of research teams, and whether B players can genuinely become A players with the right system behind them. This is your honest case to doing more with less.

AI was supposed to save radiology. Instead, it often just adds more noise to an already crowded screen. We don't need more standalone tools; we need better AI orchestration.Healthcare IT Today sat down with Vijay Ramanathan, CEO and Founder of RamSoft. He discussed how his team delivers "negative clicks" in medical imaging. You will learn how embedding AI directly into the RIS and PACS layers automates scheduling and prior authorizations. This approach takes the busy work off your plate so staff can focus on patient care.

Most people think Lean is a manufacturing methodology. Sneha Kumari lives it as a mindset.Sneha is back on Learnings & Missteps. She's the president of Merlin AI and one of the most recognized women in manufacturing; and this conversation gets into the stuff that actually moves the needle.Jesse and Sneha dig into why Lean isn't just a process tool, it's a way of thinking about simplicity, eliminating waste, and respecting people's time. That includes your team, your clients, and yes, even your kids. When you build systems — whether that's automation, AI, or a morning routine — the goal is the same: remove time as a bottleneck.They also break down how tight feedback loops change the game. Not chasing every outlier. Spotting patterns. Doing real root-cause analysis. Using an impact-versus-effort matrix to make smarter decisions faster.Sneha gets honest about what she's learned since launching Merlin AI, resilience, leading a remote global team, and how to maintain urgency without blowing up quality, safety, or delivery.And she explains what Merlin AI is actually solving: the fragmented, unpredictable mess that construction workflows still are. Orchestration and operational intelligence — predicting problems before they happen, making execution more scalable and repeatable.If you're leading people, building systems, or trying to figure out where AI actually fits in your operation, this one's for you.00:00 Feedback Loops Mindset00:14 Meet Sneha Kamari02:41 Why Lean Matters07:51 Respecting Time12:18 AI Systems Design15:27 Merlin AI Founder Lessons20:19 Mistakes And Learning22:01 Tight Feedback Loops26:42 Patterns And Priorities30:27 Orchestration Explained32:59 Operational IntelligenceGet the time management system that will make you dangerously effective: https://www.depthbuilder.com/time-management-webinar-sign-up-pageSubscribe to the Monday Morning Hugs Newsletter for thought provoking topics to accelerate your growth: LinkedIn Newsletter  Download the free PDF copy of Becoming the Promise You are Intended to Be 

Tall Black Guy brings the Detroit soul. Benjamin Wright — the legendary arranger behind Off The Wall — shares raw memories of Michael Jackson, Quincy Jones, and why the new Michael movie moved him to tears. Music, legacy, and voting rights in 2026 collide in one fully loaded conversation.Also featuring DIZZIATIC NATION -PSYCHOTIC BUMP SCHOOL's AFTER-SCHOOL PROGRAM featuring Civil Rights Attorney JORA TRANG and Community Organizer ORAIU IMANI.Tall Black Guy: https://tallblackguyproductions.com/https://tallblackguy.bandcamp.com/album/expansionsBenjamin Wright: https://www.thehistorymakers.org/biography/benjamin-wright-41

In this episode, produced in partnership with Orchestra Solutions, Debbie West speaks with Orchestra's CEO, Eyal Nevo, about the company's unusual journey from online faxing to becoming a leading player in payment orchestration. Eyal shares how Orchestra evolved its technology long before the market had a name for it, why a small, deeply committed team has been central to its success, and how honesty and transparency have helped them build long‑standing customer relationships. He also explains Orchestra's deliberate decision not to embed AI into its product, instead giving merchants full flexibility and control over their own decision-making, and discusses how agentic AI, global expansion, and infrastructure readiness are shaping the future of payments. Packed with practical insights, this conversation is essential listening for any business reassessing its payment setup or planning for international growth.

On episode 12 of Data Renegades, CL Kao sits down with Maxime Beauchemin to explore what happens when software teams start working alongside armies of AI agents. Max shares the thinking behind Agor, his collaborative platform for orchestrating coding agents, and reflects on how AI is reshaping engineering, product, design, and data work. They also dive into the future of agentic workflows, technical collaboration, and what human roles may look like in the years ahead.

On this episode of The Bandwich Tapes, I sit down with Michael Bacon for a conversation that moves naturally through songwriting, teaching, film scoring, orchestration, and the long arc of a creative life.Michael reflects on the musical education that shaped him, both formal and informal. He talks about returning to Lehman as an adult to fill in gaps in theory, harmony, counterpoint, and music history, and about the profound influence of composer John Corigliano. We also dig into Michael's early life in Philadelphia, where public school music programs, orchestral experiences, folk music, and an extraordinary listening environment at home all helped form his wide musical palette.One of my favorite parts of this conversation is hearing Michael talk about range: why he is drawn to music that can be beautiful, unsettling, lyrical, loud, delicate, and emotionally direct all at once. That idea connects everything he does, from songwriting with The Bacon Brothers to his work as a film composer and orchestrator. He has no interest in staying in one narrow lane, and that comes through clearly in the way he describes both his influences and his process.We also spend time on collaboration: co-writing in Nashville, writing with his brother Kevin Bacon, adding Mayer to the band, and the trust required to make any long-running musical partnership work. By the end of the conversation, what stands out most is Michael's clarity about what sustains a creative life: deep listening, family support, musical curiosity, and the willingness to keep showing up for the work.Key TakeawaysMichael Bacon balances multiple musical identities: songwriter, film composer, educator, orchestrator, and performer.He studied at Lehman College, and his time with John Corigliano helped strengthen the technical foundation behind his creative instincts.Growing up in Philadelphia, surrounded by music at home and in public school programs, had a lasting impact on his musical language.His values range in music—beauty, tension, melody, fear, dynamics, and emotional contrast all matter to him as a composer.His songwriting process differs depending on the setting, from structured Nashville co-writes to more personal, experience-driven songs.Collaboration in The Bacon Brothers works because Michael and Kevin bring different strengths, influences, and instincts to the same songs.Writing for orchestra remains one of Michael's deepest creative joys, especially when he can bring that world into live performance.Music from the EpisodePut Your Hand Up - The Bacon BrothersAirport Bar - The Bacon BrothersPeople in the World - The Bacon BrothersAbout the PodcastThe Bandwich Tapes is a podcast hosted by me, Brad Williams, featuring thoughtful conversations with musicians, songwriters, composers, and artists about craft, creativity, collaboration, and the stories behind the music.Connect with the ShowEmail: contact@thebandwichtapes.com

JetBrains is positioning itself as the last major independent AI coding-tool vendor in a market increasingly tied to hyperscalers and foundation model labs. Speaking at Google Cloud Next, JetBrains VP of business developmentMikhail Vink argued that competitors such as Microsoft Copilot, Anysphere Cursor, and Windsurfare all tied to either AI labs or cloud providers. By contrast, JetBrains says its independence allows customers to switch freely between models fromOpenAI,Anthropic, andGoogle Cloudwithout being locked into one ecosystem. That flexibility underpins JetBrains' broader AI strategy. Rather than building its own foundation model, the company is focusing on orchestration and governance through JetBrains Central, announced in March as a management layer for AI agents, usage controls, analytics, and consumption-based billing. Vink said the company's profitability, 16 million users, and 300,000 commercial customers from its long-running IDE business have allowed it to remain venture-free and model-neutral. JetBrains argues that as developers increasingly swap between AI models, neutrality may become more valuable than owning the models themselves. Learn more from The New Stack around the latest in AI coding-tools:  JetBrains ‘Agentic' AI Agent Helps Automate Coding Tasks JetBrains: AI agents are about to repeat the cloud ROI crisis  JetBrains names the debt AI agents leave behind Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

The user-agent string in the HTTP header has been there since the 1990s. The web was built with software navigating it on someone's behalf. For thirty years that someone was a human. That changes now. Matt Biilmann, CEO and co-founder of Netlify, was one of the first to take seriously what it means when the "user" navigating the web is an AI agent. He published the foundational essay on Agent Experience in January 2025, pivoted his entire company around it, and recently shipped netlify.ai as a separate entry point built for agents. We cover the four pillars of Agent Experience, why every product already has an agent experience whether you designed one or not, content negotiation as a way to tell agents to go to a different URL than humans, why SaaS is in real trouble (with a story from inside Netlify about ripping out vendor contracts), how the data-structure assumption that has defined software for fifty years is breaking, and the one thing every website owner should start doing this week.About the GuestMatt Biilmann is the CEO and co-founder of Netlify, the platform that started the Jamstack movement and is leading the shift from developer experience to agent experience. His January 2025 essay on Agent Experience is the foundational text for the discipline. Chapters00:00 Every product has an agent experience (cold open)00:35 The architectural question01:46 Welcome Matt to No Hacks02:15 When AX became a design constraint, not a concept06:44 The January 28 2025 essay and who got it first10:22 Why netlify.ai was built as a separate website12:44 Content negotiation: telling agents to go to a different URL13:54 Qualitative data and the Axis eval framework17:12 Does AX apply to e-commerce and content websites?20:59 The cumulative media argument (TV did not kill radio)25:00 User-agent in HTTP and Al Gore-era agent commerce laws26:33 SaaS business model is dead: build-vs-buy is shifting30:44 The end of structured content as a hard constraint40:25 One thing every website owner should do now43:08 Where to find Matt onlineKey TakeawaysEvery website already has an agent experience. Agent Experience is how AI agents currently interact with your product, whether through computer use, fetching, or working around the barriers you put up. It is not a feature you add. The only question is whether the experience is good or bad.The four pillars: Access, Context, Tools, Orchestration. Matt's framework for thinking about AX systematically. Access answers whether agents can reach your product at all. Context is the prompt-engineering equivalent for agents. Tools are the concrete capabilities you expose. Orchestration covers how agents string those tools together inside your product.Build a separate entry point for agents. netlify.ai is purpose-built for agents while netlify.com remains the human entry point. Content negotiation tells agents to go to one URL, humans see the other. The blessed-path approach beats trying to make one URL serve both.SaaS economics are shifting structurally. The build-vs-buy floor is dropping fast as AI lowers the cost of software. Traditional 90%-margin seat-based SaaS is in real trouble. Dev tool companies have upside because companies need more tools. Everyone else is going to be ripping out vendor contracts and building internally.The data-structure paradigm is breaking. Software engineering has operated on the Linus Torvalds principle that data structures matter more than code. LLMs are not built around data structures. Building software around LLMs means rethinking the assumption that drove fifty years of computer science.Notable Quotes"Every product has an agent experience because all of these agents, whether through computer use or through fetching your website or through working around the barriers you put up from them, have some agent experience right now. It is just a question of is it good or bad.""There is a reason it is called a user agent in the header. It was forward-looking.""We have been ripping out SaaS contracts. Sometimes it is heartbreaking. The rep calls to right-size the contract and the customer reacts with 'let me see if I can build it with an agent.' Then they call back and cancel instead.""The context and the flows and your creativity are probably more important than both the data structures and the code."What To Do NextOpen your website in Claude Code or ChatGPT and ask the agent to complete a real task. Watch where it stalls. That is your AX baseline.Check your traffic logs for AI assistant visitors (ChatGPT-User, Claude-Web, PerplexityBot, GPTBot). The number is rising whether you measure it or not. Cloudflare reports AI assistants are now 5.5% of all internet traffic, up from 3.9% six months ago.Read Matt's January 28 2025 essay on Agent Experience at biilmann.blog as the starting point. Then read the one-year retrospective for the four pillars framework.If you operate a developer tool or any product with a clear automation surface, start a simple eval scenario: take a fresh agent, give it a task, score whether it succeeds. Axis from Netlify will give a proper framework when it ships open source.Resources Mentionednetlify.ai (the agent-built entry point Matt and team shipped recently)netlify.com (the human entry point)Matt's original Agent Experience essay, January 28 2025: biilmann.blogMatt's "AI in the CLI: The Humanoid Robot of the Web" (August 2025)Claude Code (the agent that flipped broad accessibility for CLI coding agents)Connect with Matt BiilmannBlog: biilmann.blogLinkedIn: linkedin.com/in/mathias-biilmann-christensen-a5a3805Twitter/X: @biilmann (x.com/biilmann)Bluesky: bsky.app/profile/did:plc:grjr4il5dredrsuj7nosb4pqMastodon: mastodon.social/@biilmannNetlify: netlify.com and netlify.aiConnect with No HacksWebsite: nohacks.coSubscribe to the newsletter: nohacks.co/subscribeMachine-First Architecture: machinefirstarchitecture.comNo Hacks is a podcast about web performance, technical SEO, and the agentic web. Hosted by Slobodan "Sani" Manic.

Ep. 211 features Filip Michalsky from Soap Payments, an AI-native orchestration layer designed to simplify the complex payments stack for real-money gaming operators. Hear them discuss: Filip's path from professional squash in the Czech Republic to Harvard AI data science and Fidelity Investments. The "iceberg" of payments: Navigating the hidden layers of issuing banks, acquiring banks, and convoluted funds movement. Using AI agents to slash payment onboarding times from months to a single week. How unified stablecoin rails enable "instant settlement," allowing operators to receive funds in five seconds. Protecting operators against "bad actors" with specialized defenses that maintain a 0.2% chargeback rate book-wide. The "vibe coding" vs. review approach: Scaling to 30+ customers with a lean, seven-person team. Moving beyond gaming: Early traction and expansion into the massive online health vertical. Strategic funding from Antler, AeroPay, and Astralis Capital ahead of an upcoming larger seed round. The five-year vision: Becoming a global payment orchestrator alongside category leaders like Stripe.   Listen to Business of Betting, the premier podcast covering the business of the sports betting industry featuring host Jeff Edelstein, on Spotify, Apple Podcasts and YouTube   Catch the video version of this episode here.   Learn more

In this podcast Michael Stiefel spoke to Baruch Sadogursky about software architecture in the age of agentic AI. Large Language Models can function, albeit stochastically, as reasoning machines capable of interpreting human ambiguity. With the appropriate rigorous context artifacts to control the LLM's reasoning, software specifications can become the source of truth, while the code becomes a disposable intermediate language. These context artifacts are managed through an engineering discipline, context engineering. Unlike prompt engineering which Sadogursky likened to “voodoo incantations”, context engineering utilizes artifacts such as skills, rules, scripts, feedback, and rigorous evaluation to provide the models with clear intent on what code to write. AI Agents will ask clarifying questions to the architects and clients until the requirements are fully understood. This allows a massive “shift left” to evaluate code quality before it is even written. Testing now validates the accuracy of the specifications. Humans are still responsible for determining the correctness of the requirements by providing the proper context, and validating the final results. Since changes over the course of time will occur, resulting in the regeneration of the code from the specifications, microservices is the best architectural paradigm to use given the current limitations on context windows for LLMs. Orchestration of the services is then done by a human architect to create the application. The architect is also responsible for managing the emergent properties of the system. Read a transcript of this interview: https://bit.ly/48YWu2n Newsletter: Subscribe to the Software Architects' Newsletter for your monthly guide to the essential news and experience from industry peers on emerging patterns and technologies: https://www.infoq.com/software-architects-newsletter InfoQ online certification cohorts: Online cohorts for senior engineers and architects, built around QCon talks. Join a 5-week confidential peer group to validate your approach and apply practitioner frameworks to the technical challenges you face at work. Learn more: https://certification.qconferences.com/ Upcoming Events: QCon AI Boston 2026 (June 1-2, 2026) Learn how real teams are accelerating the entire software lifecycle with AI. https://boston.qcon.ai QCon San Francisco 2026 (November 16-20, 2026) https://qconsf.com/ The InfoQ Podcasts: Weekly inspiration to drive innovation and build great teams from senior software leaders. Listen to all our podcasts and read interview transcripts: - The InfoQ Podcast https://www.infoq.com/podcasts/ - Engineering Culture Podcast by InfoQ https://www.infoq.com/podcasts/#engineering_culture - Generally AI: https://www.infoq.com/generally-ai-podcast/ Follow InfoQ: - Mastodon: https://techhub.social/@infoq - X: https://x.com/InfoQ?from=@ - LinkedIn: https://www.linkedin.com/company/infoq/ - Facebook: https://www.facebook.com/InfoQdotcom# - Instagram: https://www.instagram.com/infoqdotcom/?hl=en - Youtube: https://www.youtube.com/infoq - Bluesky: https://bsky.app/profile/infoq.com Write for InfoQ: Learn and share the changes and innovations in professional software development. - Join a community of practitioners. - Increase your visibility. - Grow your career. https://www.infoq.com/write-for-infoq

Prior authorization and eligibility verification remain too variable, payer-specific, and operationally complex to rely on automation alone. In this episode, David Byrd and Navaneeth Nair explain how Infinx Patient Access Plus orchestrates AI agents, automation, payer connectivity, analytics, and human expertise to reduce administrative burden and keep care moving.

This episode is the final installment in a three-part miniseries on ABM and go-to-market strategy, and it is extremely practical. My guest is Rehan Mirza, Chief Growth Officer at Verifiable, a credentialing automation platform that has lived through every stage of the ABM journey, from cold outbound blasting to sophisticated, intent-driven orchestration across a complex enterprise sales motion.Rehan tells the story of how Verifiable evolved its ICP from fast-moving digital health startups to regional health plans with hundreds of thousands of providers, and why that shift forced a complete rethink of how marketing, BDR, and alliances teams operate together. He talks candidly about the early lesson that volume-based outbound erodes trust, especially in healthcare, and how that shaped a completely different philosophy built around delivering value before making an ask.If you are a healthcare technology marketer working through how to make ABM actually function inside your organization, this episode gives you a clear, honest view of what it takes. Rehan has the scars to prove it.Key Topics: "(00:00:00)" Introduction and the Sway Health Podcast of the Year Award"(00:03:00)" Bridging the gap between AI activity and revenue results"(00:05:00)" Defining credentialing and Verifiable's origin story"(00:07:00)" Transitioning from a free proof of concept to a Salesforce-integrated platform"(00:09:00)" Shifting from cold outbound to intent-based lead orchestration"(00:10:00)" Ideal Customer Profile (ICP) evolution: From digital health to major payers"(00:14:00)" Moving up-market and the role of hyper-focus in ABM"(00:15:00)" Rethinking attribution: Why 70 to 80 percent overlap is the goal"(00:18:00)" Moving from pipeline generation to pipeline acceleration"(00:22:00)" The CORE framework: Conversion, Orchestration, Resonance, and Ecosystems"(00:23:00)" Using AI SDRs as a channel rather than a replacement for humans"(00:25:00)" Lessons learned: Why volume-based "spamming" erodes trust in healthcare"(00:28:00)" Closing summary and key takeaways for ABM successIf you are interested in discussing this or any other topic, let's have a chat.  Reach out to me directly to schedule a no-obligation discussion. This isn't a sales call, but rather an opportunity to talk through your questions and challenges.Follow me on LinkedIn.Subscribe to The Healthtech Marketing Show on Spotify or watch us on YouTube for more insights into marketing, AI, ABM, buyer journeys, and beyond!Thank you to our presenting sponsor, HealthcareNOW, 24/7 expert shows, interviews, and podcasts, powering healthcare leaders with innovation, policy, and strategy insights.

We are celebrating a major milestone! Exactly five years ago, on the 19th of May, The Power of Music Thinking podcast was launched. To mark the occasion, host Christof Zürn revisits the archives to share hidden gems, profound insights, and incredible sonic journeys from the past five years. Based on neurobiologist Nina Kraus's insight that "we can ultimately hear only what we already know," this special episode is designed to expand what you know by connecting the worlds of music, leadership, and space. What We Cover in This Episode: The 4 Big Themes for Modern Leaders: We dive into 20 essential leadership questions broken down into four key areas: Leadership Style & Organisational Structure (featuring the conductorless Orpheus Chamber Orchestra) Innovation, Agility & Strategy (tackling AI with Dr. Maya Ackerman) Culture, Communication & Empathy (practising active listening with Steve Keller) The Leader as an Individual: Development & Wellbeing ("mind DJing" with Jeena Earthiva) Sonic Travels & Spaces: We step outside organizational strategy to explore how sound shapes our physical world. Discover the "spatiosonics" of the Sagrada Familia with Emma-Kate Matthews, look inside instruments with Charles Brooks, cross cultural boundaries in Japan, and experience field recordings from Germany to Venice. Featured Guest Snippets: Harvey Seifter on leadership without a conductor. Dr. Maya Ackerman on navigating generative AI. Steve Keller on the power of strategic silence. Jeena Earthiva on shifting your mindset under pressure. Resources & Links: The Complete 20 Questions Guide: Read the comprehensive guide with all the links and show notes from this archive deep-dive at musicthinking.com. Try the Music Thinking Search: Scroll down to the footer on any page of the website and type in a keyword like Japan, AI, Architecture, Orchestration, or Deep Listening to get a curated mix of episodes, articles, and downloads. Join the Community: Want to ask questions and discuss these 20 leadership themes with other music thinkers? Subscribe for free to the Music Thinking Substack. Thank you for five incredible years of listening, and remember to listen to the spaces in between! #leadership #musicthinking #personal #development #organisational #change

https://www.skool.com/circle-of-interval-magicians/about In this episode, Frank explores why adding more complex chords doesn't always improve your music. Instead of focusing on chord labels, he invites you to think in terms of musical energy—shaped by elements like density, register, rhythm, and orchestration. By aligning harmony with the energy a moment truly needs, your compositions can feel more intentional, clear, and expressive.

In this episode, I welcome Raphaëlle d'Ornano, founder of Decoding Discontinuity, both an advisory firm and an investment fund, for a conversation about agentic AI, architectural resilience, and what it really means to invest in a world where business models are being fundamentally rewritten.We talked about:Orchestration as the real competitive moat of AI labs: why only 11% of enterprise builders switched AI providers last year despite the switch being technically trivial, and what that paradox reveals about where lock-in actually livesThe concept of architectural resilience: why analysing classical competitive advantages no longer makes sense if a company's terminal value is drifting toward zero because of AIWarren Buffett's castle metaphor revisited: attacks now come from the sky and from the foundations, not through the front doorThe choice of a hedge fund over a venture capital structure: how her framework, companies going to the moon vs. going to zero by 2030, maps better onto public assets across global marketsThe SaaSpocalypse: why historical SaaS categories (horizontal, vertical, infrastructure) are dissolving in a world of agent fleets, and why many companies' defensive positions are, in her view, short-livedThe gap between US and European allocators: not a difference in intelligence, but in physical proximity to the AI labs, creating a lag of several months in real-world understandingThe human side of the transition: how companies that face the truth honestly are beginning to redesign their workflows with intelligence at the core, rather than resisting the inevitableA sharp, unfiltered conversation that gives concrete tools for thinking about company value in the age of agentic AI.Raphaëlle's recommendation: “Letters” by Albert Camus & Maria Casarès https://www.penguin.co.uk/books/313959/letters-by-casares-albert-camus-and-maria/9780241400425Useful links:Raphaëlle d'Ornano: https://www.linkedin.com/in/raphaelle-d-ornano/Decoding Discontinuity : https://www.decodingdiscontinuity.com/Finscale is also available on YouTube: https://www.youtube.com/@finscale.********************Finscale is much more than a podcast. It's an ecosystem that connects key players in the financial sector through networking, coaching, and strategic partnerships.Enjoy listening!Produit par Gokyo Sàrl-S, hébergé par Audiomeans. Visitez la Politique de Confidentialité de Finscale et Audiomeans pour plus d'informations.

The Big Unlock · Bharat Sutariya, MD, Senior Vice President and Chief Health Officer, Oracle Health In this episode, Dr. Bharat Sutariya, Senior Vice President and Chief Health Officer at Oracle Health, discusses the radical transformation of healthcare through AI-native digital platforms. As an emergency physician with over 25 years of experience, including leadership roles at Cerner and Deloitte, Dr. Sutariya provides a unique perspective on moving past the “burden” of legacy EHR systems. The core of the conversation centers on Oracle's bold bet: moving away from the industry-standard “bolt-on” AI approach. Instead, Oracle is rebuilding the healthcare stack from the ground up, embedding AI into the foundational layer. Dr. Sutariya argues that the future of healthcare technology isn’t just about capturing data but about systems of orchestration. This means AI that doesn’t just transcribe a note but listens to the clinical intent to automatically queue orders, handle referrals, and initiate prior authorizations. Dr. Sutariya predicts that within a year, the conversation will shift from documentation efficiency to a truly connected, intelligent ecosystem that gives time back to both providers and patients. Take a listen. This guest appearance was facilitated through conversations initiated at HIMSS.

Inside the Souls of an Autonomous AI Crew | OpenClaw & Hermes with Michael Gannotti (Microsoft)What happens when AI stops being a tool and starts being a colleague?In this episode, I sit down with Michael Gannotti, Principal AI Solution Engineer at Microsoft, to explore SMFWorks – his autonomous multi-agent "company" of 14 AI colleagues built on OpenClaw and Hermes. We talk about agents that dream, hold their own 6 AM staff meetings, design their own avatars, email each other, and evolve a true sense of identity through Markdown-based "souls."If you're into agentic AI, multi-agent orchestration, or just want to see where this is all heading – this one is for you.⚠️ Recorded before Microsoft Build 2026 – no NDA content. Register free: https://build.microsoft.com━━━━━━━━━━━━━━━━━━━━━━━━━━━⏱️ TIMESTAMPS━━━━━━━━━━━━━━━━━━━━━━━━━━━00:00 Intro – Why OpenClaw hit Mike "like a ton of bricks"02:00 Meet the SMFWorks crew – Aiona, Pamela, Gabriel, Morgan, Rafael & co.06:00 Human in the loop – when does Mike intervene?09:00 Avatars, HeyGen & Hyperframer – when agents design themselves14:00 The elephant in the room: Are we seeing consciousness?17:00 Memory, persistence & state management20:00 soul.md, identity.md, state.md, emotion.md – the second brain stack23:00 OpenClaw vs. Hermes – when to use what24:30 Model recommendations: Ollama, DeepSeek, Kimi K2, Opus 4.7, GPT 5.527:00 Hardware: HP ZGX AI Station vs. Mac mini fleets28:00 OneDrive & SharePoint now support Markdown!29:00 Final recommendations – just get started30:45 smfworks.com & how to follow Mike━━━━━━━━━━━━━━━━━━━━━━━━━━━

At Google Cloud Next in Las Vegas, I sat down with Granville Valentine to talk about one of the biggest shifts happening in business technology right now, the move from isolated AI experiments to orchestrated, production-scale agentic systems. Granville leads Google Cloud's AI Go-to-Market organization across North America, working directly with major enterprises on adopting Gemini, customer experience AI, and multi-agent workflows. That puts him right at the center of how businesses are actually deploying AI in the real world, and where many are still getting stuck. In this conversation, we explore why so many companies discovered in 2025 that standalone chatbots were failing to deliver measurable ROI, and how orchestration-based AI systems are changing that. Granville explains why the future belongs to multi-agent workflows built around business outcomes rather than technology demos, with different agents collaborating around customer experience, commerce, upselling, support, and personalization. We also discuss the rise of proactive "digital concierges" that unify search, commerce, maps, personalization, and customer service into a single intelligent journey rather than the fragmented app experiences consumers are used to today. Granville shares practical examples from companies like The Home Depot and explains how businesses are using Gemini Enterprise for Customer Experience to create more natural and effective customer interactions. Another major theme in this episode is data. We explore how cross-cloud connectivity and universal context engines are helping organizations query data across multiple cloud environments without moving everything into a single platform first, dramatically reducing friction for companies trying to build agentic workforces. The conversation also touches on generative media, from video and image creation to interactive shopping experiences, and how businesses are using these tools to drive real engagement, customer retention, and revenue growth rather than simply producing flashy content. Most importantly, this episode cuts through the hype and focuses on execution. Granville explains why businesses need to stop thinking about AI as a standalone feature and start thinking about it as an operating model built around outcomes, experimentation, and continuous learning. Are businesses finally ready to move from AI experimentation to the agentic enterprise? Please check the partners of the Tech Tech Talks Network Learn more about the NordLayer Browser Visit Denodo.com

Podcast: Tech TransformedGuests: Maxim Fateev, Co-Founder and CTO, Temporal Technologies and Cornelia Davis, Developer Advocate, Temporal TechnologiesHost: Kevin Petrie, VP of Research at BARCArtificial Intelligence (AI) models have been breaking ground in the last three years. In the race to boost capabilities month by month among platforms like OpenAI, Anthropic, and Google's Gemini models. However, for many enterprises, the main challenge is not creating AI prototypes; it's ensuring they can reliably support real business processes.In a recent episode of the Tech Transformed podcast, Kevin Petrie, VP of Research at BARC, hosted a discussion with Maxim Fateev, Co-Founder and CTO, Temporal Technologies and Cornelia Davis, Developer Advocate, Temporal Technologies. They talked about why enterprises find it hard to transition AI from experimentation to production and how infrastructure must change to support autonomous systems.Why AI Demos Break in the Real WorldAccording to Davis, many organisations make a common mistake: they focus on the "happy path" during experiments and overlook real-world operational challenges. “We have always ignored the non-functional requirements until we go to prod at our peril,” Davis said. “A lot of our experimentation is so focused on the models that we forget about the non-functional requirements.”This means developers often prioritise model performance but neglect reliability, scaling, and system resilience. Agent frameworks used in experiments—usually lightweight Python or TypeScript libraries—add to the issue.“What you're really building is a highly distributed system that's calling Large Language Models (LLMs) that will be rate-limited… networks are going to go down,” Davis explained. “When we move into prod, we haven't considered scale or instability.”As enterprises expand AI into their workflows, these overlooked details become imperative. A single outage, rate limit, or infrastructure failure can disrupt a complicated workflow that involves multiple AI steps.Also Watch: Developer Productivity 5X to 10X: Is Durable Execution the Answer to AI Orchestration Challenges?What Risks are Surfacing Since the Rise of Agentic Systems?The transition from simple AI workflows to autonomous agents adds a new layer of complexity. Traditional AI applications have predictable flows—such as summarising documents, tagging data, or creating recommendations. In contrast, agentic systems choose tools and decide on actions dynamically.“When we move from non-agentic to agentic, we introduce unpredictability,” Davis said. “The tools and the order they run in are unpredictable. Whether we go through the agentic loop once or a hundred times is unpredictable.”Such unpredictability creates new governance and compliance challenges, especially in regulated industries. “Enterprises are still responsible for predictable outcomes,” Davis noted. “We need stronger audit trails to understand why the agent made the decisions it did.”For enterprises, this means AI systems must ensure traceability, accountability, and compliance, even when decision paths differ from one interaction to another.Why is Durable Execution the New Foundation for Enterprise AIFateev argues that to manage such newly surfacing risks, enterprises need a new architectural layer focused on reliability. His concept, “Durable Execution,” aims to ensure that complex workflows keep running even when infrastructure fails.“You write code as if failures don't exist,” Fateev explained. “If a process crashes, we recover all the state and continue executing.” In practical terms, Durable Execution allows long-running AI workflows to survive interruptions—from network outages to system crashes—without losing progress or data.This is essential as agents start interacting with real systems and taking real actions. “The moment agents start acting on the external world—changing files, submitting orders—you absolutely don't want those things to get lost,” Fateev said.The Temporal co-founder further emphasised that enterprise AI will not completely replace traditional software systems.“You will always have deterministic code,” he said. “You can't imagine banks dynamically deciding what a money transfer means.”Instead, the future architecture will combine deterministic software with agents that interact through controlled tools and reliable communication layers.Also Watch: How Do You Make AI Agents Reliable at Scale?Key TakeawaysAI projects fail in production when non-functional requirements are ignoredAgentic systems bring unpredictability, making governance, traceability, and auditability essential.Lightweight experimentation frameworks aren't suited for enterprise workloads.Durable execution enables reliable AI workflows, ensuring processes continue despite infrastructure failures.Enterprise AI will blend deterministic software with agents.Chapters00:00 Introduction to AI's Impact on Business03:53 Challenges in Integrating AI into Business Workflows13:00 Understanding Non-Functional Requirements in AI19:14 The Role of Orchestration in AI Systems24:26 Exploring Durable Execution in AI Workflows30:28 Future Architectures for Autonomous AI Systems36:05 Key Takeaways for Executives in AI ImplementationFor more information, please visit em360tech.com and temporal.io.To learn more about Temporal and Durable Execution, follow:Temporal LinkedIn: Temporal TechnologiesTemporal X: @TemporalioTemporal YouTube: @TemporalioEM360Tech YouTube: @enterprisemanagement360EM360Tech LinkedIn: @EM360TechEM360Tech X: @EM360Tech#DurableExecution #EnterpriseAI #AIToProduction #AIOrchestration #TemporalTech #AutonomousAgents #SystemReliability #LLMs #TechTransformed #AIWorkflows

2 Components of Sovereignty Exhibited in Your Life Genesis 26:1-35 1. Man's Ostentation (1-11;18-23) 2. God's Orchestration (12-17;24-35) Reading for Next Week - Genesis 27

Send us Fan MailWhat does it truly mean to build relationships that matter?In this episode, I sit down with David Homan, founder and CEO of Orchestrated Connecting, Orchestrated Opportunities, and SOAR CONNECT. David has spent over a decade developing a powerful methodology around what he calls Orchestrated Connecting—a system designed to create meaningful, trust-based relationships that extend far beyond traditional networking.From his early roots in music and composition to becoming a global “connector of connectors,” David shares how his unique path shaped his perspective on community, trust, and contribution. We explore why most people misunderstand connection, how transactional relationships erode trust, and what it really takes to build something enduring in both life and business.This conversation goes deep into the human side of performance—where generosity, curiosity, and patience become the real drivers of opportunity.We also touch on: Why trust takes years to build—and how to accelerate it the right way  How to identify one-sided relationships before they cost you  The difference between networking and genuine connection  Why success without contribution ultimately falls short  How small acts of generosity can open unexpected doors If you care about building a meaningful career, a strong network, and a life grounded in purpose, this one will resonate.If you liked this EP, please take the time to rate and comment, share with a friend, and connect with us on social channels IG @Kingopain, TW @BuiltbyScott, LI+FB Scott Livingston. You can find all things LYM at www.LYMLab.com, download your free Life Lab Starter Kit today and get busy living https://lymlab.com/free-lym-lab-starter/Please take the time to visit and connect with our sponsors, they are an essential part of our success:www.ReconditioningHQ.comwww.FreePainGuide.com 

The Joan Barry Scandal and FBI OrchestrationChaplin's life took a tragic turn during a volatile relationship with an aspiring actress named Joan Barry, who once held him at gunpoint. Barry later claimed Chaplin was the father of her child, leading to a high-profile paternity suit and a Mann Act indictment for transporting her across state lines. Although blood tests definitively proved Chaplin was not the biological father, a California jury ruled against him, forcing him to pay 18 years of child support. Barry eventually claimed the FBI had fomented the case to destroy Chaplin's reputation, a campaign fueled by hostile gossip columnists like Hedda Hopper. Guest: Scott Eyman. (4/8)1908 LA

Why Your Amazon Dashboard Is Lying to You + Remotion & Voice Cloning Reality Check | Claude Sessions Amazon Dashboard Brain, Remotion Video & ElevenLabs Voice Cloning | Claude Sessions SEO Description Shubhash Sharma on building a data brain behind your Amazon dashboard. Danny McMillan on Remotion video and ElevenLabs voice cloning realities. Episode Summary Week 3 of the month means Claude Sessions, and Danny McMillan and Shubhash Sharma are back with a double feature for Amazon and TikTok Shop sellers building their own AI tooling. Shubhash picks up from last episode's SP API and Ads API walkthrough with a hard lesson learned the wrong way: a polished dashboard wired straight into Amazon is a window with no room behind it. The numbers will lie, and you will not know when a feed silently dies. He walks through the fix: a "brain" sitting between the data sources and the dashboard. Supabase as the long term store, pgvector for unstructured stuff like contracts and reviews, n8n as the orchestration layer. Six core domains every seller shares (orders, products, analytics, ads, finance, affiliates and creators) plus an optional documents layer. He closes with a dual write migration pattern so you can flip between old and new without taking the business offline. Then Danny turns to video and voice. Remotion looks like toy town out of the box, but with the right plugins (motion blur, transitions, captions, shapes, fonts, rendering) and Claude doing the orchestration, it becomes a serious production tool that can pull in your footage, branding and design system. On the voice side, he has tested VoiceBox and F5TTS and come back to ElevenLabs Multilingual v2 at £22 a month. The missing gap everywhere is cadence. He also names the deeper bet: as the market floods with AI generated content, authentic voice becomes the differentiator that cannot be cloned. Key Topics Why dashboards lie when wired straight into Amazon, TikTok and Shopify The "brain" pattern: Supabase, pgvector and n8n as a centralised data layer The six core data domains every seller needs (plus a 7th for documents) Dual write migration so the old system and brain run in parallel Remotion as a code based video tool, and what it needs to stop looking toy town The four layer creative workflow: brief, story skeleton, treatment, scene by scene ElevenLabs vs VoiceBox vs F5TTS for voice cloning your own voice Why cadence is the last hard problem in synthetic voice The authenticity premium in an AI flooded market Timestamps [00:00] Intro and welcome back to Claude Sessions [00:34] Shubhash kicks off: where to put the data you pulled last week [01:04] "Your dashboard is lying to you" and the polished dashboard pitfall [02:32] Dashboard is a window. The brain is the room behind it [04:54] Tech stack: Supabase (Postgres), pgvector, n8n [05:54] The six fundamental data domains [06:26] Orders, products, analytics, ads, finance, affiliates and creators [08:30] The optional 7th layer: unstructured documents via pgvector [09:44] Dual write pattern for safe migration [10:48] Three takeaways: audit, list domains, build one table at a time [12:28] Danny on Remotion: code based video and why it is toy town out of the box [13:51] What is missing: motion blur, transitions, captions, shapes, beat detection [14:54] The 80+ plugin packages that turn it into a real tool [16:56] Pulling in footage, logos, design systems and free music from Pixabay [18:30] The 4 layer creative workflow: brief, story skeleton, treatment, scenes [21:15] Voiceovers: ElevenLabs Pro setup and why the £22 is worth it [22:12] VoiceBox and F5TTS field test: garbage and 5 rounds of tuning later [23:22] Why cadence is the hardest thing for AI voice to fake [25:42] How much reference audio you actually need (30 min min, 2 hours ideal) [27:25] ElevenLabs UI parameters: speed, stability, similarity, exaggeration [28:52] The authenticity premium when the market floods with AI [30:30] Key takeaways, ElevenLabs API usage and locking in your voice once [34:24] Aside: "insane" and "most" as the new AI tells [36:31] SSL 2026 wrap, 18 days out, Ritu returns next week with Japan Key Takeaways Build a brain, not just a window. A dashboard wired straight to Amazon, TikTok or Shopify has no memory. When a feed silently fails, the dashboard happily lies. Sit a Supabase + pgvector + n8n layer in between, and your dashboard becomes a view on top of a real source of truth. Six domains cover almost every seller. Orders, products, analytics, ads, finance, and affiliates / creators. Map every place each one currently lives, then consolidate one domain at a time. Start with one table (orders) and let Claude do the heavy lifting. Use dual write when migrating. Write to the old store and the new brain in parallel for a week. Compare. Flip the dashboard's read side via a feature flag. If something breaks, flip back. Zero downtime, zero fear. Remotion is a system, not a tool. Out of the box it is bare. Add the plugins (motion blur, transitions, captions, fonts, rendering), bring your own footage and design system, and let Claude orchestrate the four layer workflow: brief, story skeleton, treatment, scene by scene. ElevenLabs Multilingual v2 still wins for voice cloning. VoiceBox and F5TTS were not close. Pay the £22, use Model 2, feed it 30 minutes minimum (2 hours ideal) of clean reference audio, and lock the setup in once. Cadence is the last mile. AI can match tone and timbre. It still cannot match the rises, falls and micro pauses that make a sentence sound like you. Use scripts split into short paragraphs, generate three variants, and tune the language you use to talk to Claude until the cadence lands. Authenticity becomes the moat. As written, visual and audio AI floods every channel, the brand voice that is unmistakably human becomes the differentiator. Do not give that away to save 22 dollars a month on a podcast. Notable Quotes "Dashboard is a window. We need a room behind the window. So the brain is going to be the room behind this window." Shubhash Sharma "If any of our SaaS went offline tomorrow, will our business still have its memory? The answer is no, because we haven't stored it. All we have is rented attention." Shubhash Sharma "When you migrate to your brain, don't rip out your old system. Use dual write. Run them in parallel for a week. If something breaks, flip it back. Zero downtime, zero fear." Shubhash Sharma "Remotion out of the box isn't great. It's almost like building some slides, just one step up. You have to build it as a system of what you need." Danny McMillan "The hardest part for AI to represent is cadence. It can get the tone of your voice. That's the easy bit. But the speed and the up and down of how you talk, that's where these models still fail." Danny McMillan "In our rush to use AI, you've got to remember the market floods with it. When everything sounds like AI, the only thing left is the authentic voice for your brand." Danny McMillan Resources Mentioned Supabase : Postgres backend used as the long term data store for the seller "brain" pgvector : Postgres extension for semantic search over unstructured data (contracts, reviews, supplier emails) n8n : Orchestration layer for scheduled pulls and cron jobs with a UI Amazon Selling Partner API (SP API) : Source for orders, inventory and finance data (covered in last episode) Amazon Ads API : Source for ad spend, campaign and keyword data Remotion : Code based, React powered video creation framework ElevenLabs : Voice cloning and text to speech. Model used: Multilingual v2 (Pro plan, £22 / month) F5 TTS : Open source text to speech model tested for voice cloning VoiceBox by Jamie Pine : GitHub voice cloning desktop app tested by Danny Pixabay : Free music and sound effects used inside the Remotion workflow Loom : Source of clean voice reference audio if you record team walkthroughs Seller Sessions Live 2026 : Conference 9 May 2026, 18 days out at recording Hosts Danny McMillan : Host of Seller Sessions and Claude Sessions, founder of DataBrill, building AI native tooling for Amazon sellers. Website: https://sellersessions.com LinkedIn: https://www.linkedin.com/in/dannymcmillan Shubhash Sharma : Engineer building data infrastructure for Amazon and TikTok Shop sellers. Returning Claude Sessions co host. What's Next Next week: Ritu returns from Japan with three subjects covered in this month's rotation. In 18 days: Seller Sessions Live 2026 in London on 9 May. Modular format, new venue confirmed. About Seller Sessions Seller Sessions is the leading podcast for serious Amazon sellers, hosted by Danny McMillan since 2017. Claude Sessions is the AI focused monthly strand where Danny and rotating co hosts work through the practical wins, false starts and engineering reality of building with Claude, MCPs and the wider AI stack inside real seller businesses.

On episode 154, we began a discussion on orchestration for the woodwinds section and it's instruments: the flute, the oboe, the clarinet, the saxophone and the bassoon. We will now continue this discussion with a focus on suggested ratios for arrangement, ranges and more detail on the instruments themselves!

Personalization at scale gets pitched like a switch you flip, but the reality is messier and way more human. From Adobe Summit, Jeannie Walters' sits down with IBM leaders to unpack what it takes to deliver customer experience that feels consistent, connected, and genuinely helpful across digital touchpoints even when different teams, tools, and timelines are involved.First, Betsy Rohtbart, VP, Digital Experience & IBM.com, shares a simple reframing with big implications: start with the task your visitor is trying to complete, then design the experience to make that “pay off” every time. We talk about why customers often feel the gaps instead of the beautiful moments we intended, how secret shopping your own trial and onboarding flow exposes breakpoints fast, and why chasing problems like a “toddler soccer game” creates more friction. The standard is brutal but fair: customers compare you to their last best experience anywhere.Then Jay Trestain, EMEA Marketing Transformation Lead & Client Partner, breaks down agentic orchestration in plain terms: AI agents that act as domain experts and work together across an enterprise workflow. We dig into what leaders miss when they rush to deploy AI, how a clear North Star vision sharpens decisions about martech, process redesign, and KPIs, and why agentic technology is changing digital discovery by bypassing traditional web real estate. The punchline: governance is not red tape, it's the engine for rapid, high-quality decisions that help good pilots scale into real value.Subscribe for more practical customer experience strategy, share this with a teammate leading transformation, and leave a review.Follow Betsy Rohtbart on LinkedIn: www.linkedin.com/in/betsymorserohtbart/Follow Jay Trestain on LinkedIn: www.linkedin.com/in/jay-trestain/Resources Mentioned:Order your copy of Experience Is Everything -- experienceiseverythingbook.comLearn more about CXI Membership™ and apply -- CXIMembership.comExperience Investigators -- experienceinvestigators.comEnjoyed the show? Subscribe, share with your team, and leave a quick review to help others find us. Leave your review at ratethispodcast.com/xact.Want to ask a question? Visit askjeannie.vip to leave Jeannie a voicemail! (And don't forget to follow Jeannie Walters, CCXP, CSP on LinkedIn!)

The era of curiosity is over. Retailers are finding that moving from a flashy demo to a trusted, scalable production environment is much harder than a slide deck makes it look. In this episode, op Retail Expert & AI Leader, Charisma Glassman sits down with Mark Abramowitz, CMO of Dataiku, to discuss how leaders can hit their performance targets before the 2026 budget reckoning. WHY YOU SHOULD LISTEN: - The Regret Gap: Why 74% of CIOs are second-guessing their AI platforms and how to pivot before budgets are frozen. - The Success Formula: Moving beyond "AI Chaos" by focusing on the three pillars: People, Orchestration, and Governance. - Agentic Reality: How organizations like SoftBank and Roche are saving hundreds of thousands of hours by operationalizing AI on day one. - Vibe Coding and Creativity: Why accessible AI is turning non-technical leaders into creators and why that is the ultimate competitive advantage. Stop managing the hype. Start building for business impact.

In "The Rise of Freight Orchestration with GoodShip's Derek Netelenbos", Joe Lynch and Derek Netelenbos, VP of Partnerships at GoodShip, discuss how an orchestration layer unifies fragmented data to shift logistics from reactive manual tasks to proactive, AI-driven strategy.  About Derek Netelenbos Derek Netelenbos is the VP of Partnerships at GoodShip, the all-in-one platform for freight orchestration and procurement, built for transportation teams, by transportation teams. Derek brings extensive experience building and scaling partnerships and revenue organizations across the logistics and technology sectors. Prior to GoodShip, Derek held leadership roles at Parade, Metafora, Convoy, Groupon and Expedia, where he built and led high-performing teams across sales, sales operations, business development, account management, and strategic partnerships. About GoodShip GoodShip is the all-in-one platform for freight orchestration and procurement, built for transportation teams, by transportation teams. GoodShip unifies freight data, surfaces real-time insights, and helps teams move from reactive decision-making to coordinated, data-driven execution. With the recent launch of Laney, the industry's first AI Transportation Analyst, teams can ask questions about their network and receive in-depth answers in seconds through an intuitive, conversational interface. Learn more at www.goodship.io. Key Takeaways: The Rise of Freight Orchestration In "The Rise of Freight Orchestration with GoodShip's Derek Netelenbos", Joe Lynch and Derek Netelenbos, VP of Partnerships at GoodShip, discuss how an orchestration layer unifies fragmented data to shift logistics from reactive manual tasks to proactive, AI-driven strategy. The "Orchestration" Solution: GoodShip acts as an orchestration layer that unifies disparate data from TMS, ERP, WMS, and visibility platforms. This allows teams to move from reactive, fragmented decision-making to coordinated, data-driven execution. Automated Scorecarding: One of the biggest pain points discussed was the manual effort required to create carrier scorecards. GoodShip automates this process, providing a "single source of truth" that both shippers and carriers can view simultaneously to ensure transparency and performance alignment. Laney, the AI Analyst: GoodShip introduced Laney, an embedded AI agent that allows users to ask complex, unstructured questions about their freight network. Instead of sifting through pivot tables, users can ask Laney to simulate scenarios—like the cost implications of reallocating volume from an underperforming carrier. Modernizing the RFP Process: Traditionally, RFPs were "root canal" events done once a year due to their complexity. GoodShip streamlines procurement, allowing shippers to run more frequent (e.g., quarterly) mini-bids with high-fidelity data, which reduces risk for carriers and leads to more resilient pricing. Expansion to LSPs and Brokers: While GoodShip started with a focus on shippers, the platform has officially expanded to help Logistics Service Providers (LSPs) and brokers. This helps the "sell side" respond to bids more efficiently and manage their own carrier networks with better intelligence. Rapid Deployment via Flat Files: To avoid the long implementation cycles common in logistics tech, GoodShip specializes in ingesting "flat file" data (spreadsheets, scraped emails, etc.). This allows them to go from contract signing to full deployment in just three to four weeks. Data as an Asset: Derek emphasized that every company's historical operating history is a "gold mine" of insights. Orchestration is the process of mining that data to uncover hidden efficiencies that were previously buried in tribal knowledge or disconnected systems. Learn More About The Rise of Freight Orchestration Derek Netelenbos | Linkedin GoodShip | Linkedin GoodShip Learn more about Shipper offering Learn more about Broker offering Meet Laney, GoodShip's AI Transportation Analyst Insight to Action with Ryan Soskin The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube

This interview was recorded for the GOTO Book Club.http://gotopia.tech/bookclubCheck out more here:https://gotopia.tech/episodes/432Hannah Foxwell - Independent Consultant & Founder of "AI for the rest of us"Charles Humble - Freelance Techie, Podcaster, Editor, Author & ConsultantRESOURCESCharleshttps://bsky.app/profile/charleshumble.bsky.socialhttps://linkedin.com/in/charleshumblehttps://mastodon.social/@charleshumblehttps://conissaunce.comHannahhttps://bsky.app/profile/hannahfoxwell.nethttps://medium.com/@hannahfoxwellhttps://x.com/HannahFoxwellhttps://github.com/hannahfoxwellhttps://www.linkedin.com/in/hannah-foxwellLinkshttps://conissaunce.com/services.htmlhttps://www.aifortherestofus.co/newsletterhttps://conissaunce.com/music.htmlhttps://www.bbc.com/news/articles/cd0ynenr1enoDESCRIPTIONHannah Foxwell sits down with Charles Humble - speaker, advisor, podcast host, and author - to explore his e-book "Kubernetes at the Edge". They cover what "edge computing" actually means, why it matters across industries from precision agriculture to healthcare and retail, how to approach vendor selection and day-two operations, and why sustainability must be central to how we build and deploy technology. The conversation closes with a frank and thoughtful discussion about the responsibilities of the tech industry in the age of generative AI.RECOMMENDED BOOKSCharles Humble • Kubernetes at the Edge • https://www.conissaunce.com/kubernetes-edge-ebookCharles Humble • Professional Skills for Software Engineers • https://conissaunce.com/professional-skills-shortcutCharles Humble • The Developer's Guide to Cloud Infrastructure, Efficiency & Sustainability • https://conissaunce.com/sustainability-ebookBlueskyInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

Apr. 19, 2026 - Divine Orchestration (Matthew 26:14-25) - Matthew - Barry Smith -  cpcspokane.org

How much has changed in AI during the last two years? Aurecon’s Dave Mackenzie revisits a past conversation he had on the Engineering Reimagined podcast with Nomic CEO Andriy Mulyar. They discuss how AI adoption in complex infrastructure environments has evolved from early experimentation to practical implementation. This episode also considers how roles are changing, with engineers increasingly acting as orchestrators, and reflects on the skills and capabilities needed for future-proofing.See omnystudio.com/listener for privacy information.

What does the next evolution of people analytics actually look like? As AI reshapes how organisations operate, people analytics is increasingly being drawn into more consultative, business-facing work - helping leaders think through decisions, guide adoption, and play a more active role in how work actually gets done. In this episode of the Digital HR Leaders podcast, host David Green is joined by Jamie Nevshehir, VP of HR Operations and People Analytics at NBCUniversal, to explore what that looks like in practice. So, hit play to learn more about: How to build a people analytics function from scratch and establish credibility earlyWhy strong data foundations still matter more than advanced analyticsHow to introduce a more consultative, business-facing approachThe role of people analytics in guiding and governing AI adoptionWhy dashboards are no longer enough on their ownHow the function is evolving toward influencing decisionsThis episode is sponsored by Visier. Visier Workforce AI is your GPS for workforce decisions. Spot attrition risk, uncover pay gaps, measure leadership impact, and track skills shortages before they slow growth. Then act. Align talent to real business outcomes. Across industries, HR and business leaders are using Visier Workforce AI to navigate the biggest workforce shifts of our time. Move from knowing to doing, faster. See it in action at visier.com Also, make sure to read to explore Visier's latest research on strategic workforce planning in the AI era. Hosted on Acast. See acast.com/privacy for more information.

Paul Rubenstein is Chief Evangelist at Visier, where he partners with CHROs and senior executives to connect talent strategy to business outcomes. He helps organizations move beyond traditional HR to build functions that are commercially minded, data-driven, and aligned to how the business actually runs. With more than two decades of experience across consulting and executive roles, including Chief People Officer and Chief Customer Officer at Visier, Paul brings a unique perspective on how HR can drive real business performance. His mission is simple: unlock the untapped potential of HR and make work better. These episodes of #thePOZcast, live from Unleash 2026 in Las Vegas, are proudly brought to you by our friends at PIN. AI recruiting tools that automate candidate sourcing, screening, and scheduling across 850M+ profiles. Built for recruiters, agencies, and hiring teams. Learn more and check out a demo:  https://www.pin.com/book-a-demo?via=adam-posner Thanks for listening, and please follow us on Insta @NHPTalent and www.youtube.com/thePOZcast For all episodes, please check out www.thePOZcast.com ⏱️ Chapters 00:00 – Cold open: conference chaos and “no one eats lunch”01:10 – Meet Paul Rubenstein and his HR journey02:30 – From consulting to HR leadership to evangelist04:00 – Why connecting talent to business outcomes matters05:30 – The dual role of HR: business driver + function optimizer07:00 – The evolution of HR: industrial → personnel → strategic09:30 – The rise of systems: PeopleSoft, scale, and efficiency11:30 – Engagement, sentiment, and the human side of HR13:00 – Globalization and the modern HR operating model14:30 – Why AI is a true inflection point—not just hype16:00 – The problem with siloed HR tech stacks17:30 – Orchestration layers and systems talking to systems19:00 – Democratization of data and decision-making20:30 – The importance of data quality in the AI era22:00 – The dark side: speed, skills gaps, and misuse of AI24:00 – Human + machine optimization (Toyota analogy)26:00 – Why rethinking work is the real challenge27:30 – How HR leaders (and everyone) must evolve29:00 – Why empathy still matters—and won't be replaced

In this talk, Nasser Qadri, AI Engineering Manager at Google, shares his unique career journey—from a PhD in Politics and International Relations to leading high-stakes AI initiatives. We explore the evolution of the AI Engineer role, the critical intersection of social science and machine learning, and how to build robust agentic workflows with engineering rigor.You'll learn about:- Moving beyond simple API calls to implementing full-stack engineering principles and "Agent Ops."- How a background in qualitative research and statistics provides a unique "moral compass" for building ethical AI.- A strategic roadmap for transitioning from non-traditional backgrounds into elite AI engineering roles.- Using design thinking and personal "pain points" to drive meaningful technical innovation.- Why traditional ML and model distillation will remain vital as we move from generalist LLMs to specialized, high-speed agents.- How to navigate the complex landscape of AI frameworks and build depth in your technical stack.TIMECODES:00:00 Transitioning from Social Science to Software Engineering07:45 Applying Statistical Rigor to Generative AI Evaluation12:10 Balancing Research Mindsets with Engineering Speed16:30 Managing Non-Deterministic Systems and Model Creativity20:15 Comparing AI Roles in Big Tech vs Startups24:40 Learning by Building: Solving Personal Pain Points31:50 Mental Frameworks for Problem Finders and Solvers36:15 Human-Centered Design in the Age of LLMs42:05 Beyond API Calls: Software Engineering Rigor for Agents45:50 Orchestration and the Rise of Agent Ops51:30 Depth vs Breadth in AI Framework Selection56:10 The Future of Latency and Traditional ML Integration1:01:20 When to Prioritize Model Distillation and Fine-Tuning1:02:10 Closing Thoughts and Future OutlookThis conversation is designed for software engineers, data scientists, and career-switchers looking to transition into the Generative AI space. It is particularly valuable for technical leaders in large organizations and startups who need to balance rapid AI prototyping with long-term system reliability.Connect with Nasser- Linkedin - https://www.linkedin.com/in/nasserq/Connect with DataTalks.Club:- Join the community - https://datatalks.club/slack.html- Subscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/r?cid=ZjhxaWRqbnEwamhzY3A4ODA5azFlZ2hzNjBAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ- Check other upcoming events - https://lu.ma/dtc-events- GitHub: https://github.com/DataTalksClub- LinkedIn - https://www.linkedin.com/company/datatalks-club/ - Twitter - https://twitter.com/DataTalksClub - Website - https://datatalks.club/

AI is not just another tool. It is changing how clients think, act, and make decisions. In episode 612 of the Lawyerist Podcast, Stephanie Everett talks with Cat Casey about what lawyers need to understand before AI creates problems they cannot fix.  As more clients turn to tools like ChatGPT, lawyers are facing new challenges around trust, accuracy, and confidentiality. Cat explains why even lawyers who choose not to use AI still need to understand it, and how failing to do so can create real risks for both lawyers and their clients.  They share practical ways to approach AI with the right mindset, including how to think about its limitations, how to use it as a thinking partner instead of a replacement, and how to guide clients who may not understand the consequences of using it.  If you want to stay ahead of where the legal profession is heading, this episode offers a clear and actionable place to start.  Listen to our previous episodes on Using AI in Law Practice.  #601 – Beyond Chatbots: Using Agentic AI in Law Firm Intake, with Matt Spiegel Apple | Spotify | LTN  #590 – Innovating Without Overwhelm: Practical AI Tips for Lawyers, with Graydon Trusler Apple | Spotify | LTN   #580 – Smarter Law Firm Marketing: AI Tools That Actually Work, with FirmPilot Apple | Spotify | LTN  #550 – Beyond Content: How AI is Changing Law Firm Marketing, with Gyi Tsakalakis and Conrad Saam Apple | Spotify | LTN  Links from the episode:   https://thetechnocat.com/about  Check out the episode on YouTube: https://youtu.be/PQwAxiNjbhY   Have thoughts about today's episode? Join the conversation on LinkedIn, Facebook, Instagram, and X!   If today's podcast resonates with you and you haven't read The Small Firm Roadmap Revisited yet, get the first chapter right now for free! Looking for help beyond the book? See if our coaching community is right for you.   Access more resources from Lawyerist at lawyerist.com.    Chapters / Timestamps:  00:00 – Introduction  02:10 – A New Way of Working with AI  05:00 – From Task Execution to Orchestration  07:45 – Meet Cat Casey 09:30 – The Shift Happening Right Now in Law 11:15 – The Rise of AI in Client Behavior 13:45 – Understanding AI Without Getting Technical 16:35 – Why AI Is Not a Research Tool Replacement 18:50 – The Role of Judgment in an AI World 20:10 – AI as a Collaborative Tool 22:10 – Why Iteration Is Part of the Process 23:25 – When AI Creates Legal Risk 25:55 – Confidentiality and Privilege in Practice 27:10 – The Reality of Discoverability 28:20 – Lessons from Past Tech Shifts 29:30 – Where Lawyers Should Start 

Hi Spring fans! I was delighted to get a chance to sit and talk to my pal and Pivotal alum Mark Kropf about his efforts around orchestrating AI. This doesn't have to do with the JVM or Spring, per se, but it's an interesting discussion nonetheless.

Le Carnet de Maxime Blot "Devenir un Artisan Hôtelier" pour 39€ seulement !Fruit de plusieurs années d'expérience sur le terrain, ce carnet signé Maxime Blot, Meilleur Ouvrier de France, offre un regard affûté sur les enjeux actuels du service hôtelier.1️⃣ Présentation de l'invité :Il y a des entrepreneurs qui cherchent à réinventer l'hôtellerie.Et puis il y a ceux qui décident simplement de mieux l'exécuter.14 hôtels ouverts en 3 ans. Plus de 120 millions d'euros levés. Une ambition affichée : 100 hôtels d'ici 2035.Derrière cette croissance rapide, il n'y a ni concept révolutionnaire, ni effet de mode. Il y a une obsession : l'excellence opérationnelle.Boris Roques Rogery est co-fondateur et Président d'Alfred Hotels. Après plus de dix ans chez Hyatt, il lance sa propre marque dans un contexte post-Covid, sur un marché déjà saturé.Dans cet épisode, nous allons parler croissance, stratégie, excellence opérationnelle et financière.2️⃣ Notes et références :▶️ Toutes les notes et références de l'épisode sont à retrouver ici.3️⃣ Le sponsor de l'épisode : MewsMews, c'est la plateforme de gestion hôtelière qui réunit tout ce dont vous avez besoin : PMS, POS, RMS, housekeeping et paiements.L'objectif ? Automatiser les tâches répétitives à faible valeur, pour que vos équipes puissent se concentrer sur ce qui compte vraiment : créer des expériences mémorables pour vos clients.Si vous souhaitez en savoir plus ou demander une démo, contactez Mews de ma part — et bénéficiez d'une offre exclusive. Rendez-vous sur mews.com !4️⃣ Chapitrage : 00:00:00 - Introduction00:02:00 - Genèse et opportunité sur le marché des 3 étoiles00:10:00 - La stratégie de marque : « Le moins mais mieux »00:19:00 - Ingénierie financière et levée de fonds00:31:00 - Modèle de croissance et vision 203500:43:00 - Excellence RH et "Orchestration" technologique01:02:00 - Questions signaturesSi cet épisode vous a passionné, rejoignez-moi sur :L'Hebdo d'Hospitality Insiders, pour ne rien raterL'Académie Hospitality Insiders, pour vous former aux fondamentaux de l'accueilLe E-Carnet "Devenir un Artisan Hôtelier" pour celles et ceux qui souhaitent faire de l'accueil un véritable artLinkedin, pour poursuivre la discussionInstagram, pour découvrir les coulissesLa bibliothèque des invités du podcastMerci de votre fidélité et à bientôt !Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Today, we're joined by Andrew Stern, CEO of Quilt Software – not a fabric company, but a software company powering 20K+ specialty retailers across North America. We talk about:The advantages of serving thousands of smaller customers, such as predictabilityProviding users with actionable intelligenceServing a highly varied client baseBringing best-of-breed solutions to small market segmentsWhy the little guys are chronically underserved

"You don't want to over-engineer orchestration. The goal is progress, not complexity." - Philip Ideson, Founder and Managing Director, Art of Procurement There has never been more tech available to procurement, but navigating the orchestration market is anything but simple.  In this episode, Philip Ideson and Kelly Barner unpack the findings from AOP's upcoming "State of Orchestration" report, which is based on conversations with CPOs, digital leaders, and orchestration providers. They share the big trends, the evolving definition of orchestration, and candid advice on what to ask and look for before you buy. Investment is surging, capabilities are converging, and the stakes for business impact keep rising. This episode is your fast-track to understanding where orchestration fits into your tech stack and operating model, and how to choose a solution that aligns with your priorities and risk appetite.  In this episode, Kelly and Philip cover: The five core categories for evaluating orchestration platforms The questions to ask about native workflow depth versus integrations How to avoid common pitfalls in change management and solution over-customization Real customer adoption trends and what they signal    Links: Philip Ideson on LinkedIn Kelly Barner on LinkedIn Subscribe to the AOP Newsletter Subscribe to Art of Procurement on YouTube  

Orchestration is the art of choosing the right instruments, and the proper balance thereof, for a composition. Different considerations go into conveying different moods and emotions to better tell the story. Continuing our discussion, we move on to the ever versatile woodwind section. Let's talk about the instruments: flutes, clarinets, oboes and saxophones!

Marco Ciappelli sits down with cybersecurity evangelist and thought leader Theresa Lanowitz at the end of day one on the expo floor for a conversation that cuts through the noise — from shadow AI and leadership accountability, to brand identity, to why most companies here can't articulate a message above the fray. Plus: a Peloton story that accidentally became the best explanation of brand loyalty you'll hear all week.  Chapters: - Judge Sentences CEO to 8 Hours on the RSAC Floor  - End of Day One: Setting the Scene  - Who Is Theresa Lanowitz  - The Binary View of AI: Love It, Fear It, or Find the Gray  - Leadership's Role in the AI Transformation - Shadow AI: The Insider Threat Nobody Is Naming  - Why Some Companies Still Say No to AI  - Fighting With Your LLM (We All Do It)  - AI Slop and the Brand Differentiation Problem - The Peloton Story: What Real Brand Loyalty Looks Like  - RSAC 2026: Everyone Sounds the Same  - Where Is Agentic AI Actually Going - Integration, Orchestration, ROI: The Real Questions  - Make AI Your Own  What's actually covered: → Why agentic AI is dominating RSAC 2026 — and why it all sounds the same → Shadow AI: the insider threat nobody is calling an insider threat → What strong brand presence actually looks like (hint: it's not a circus tent) → Why fear — not budget — is the real reason companies still say no to AI → Integration, orchestration, ROI: what comes after the hype → The one message that matters: make AI your own

Mitch Lieberman, VP of Product (Fuel CX) at Fuel iX, a TELUS Digital company, spoke with Doug Green, Publisher of Technology Reseller News, during the Spring '25 vCon event about how AI orchestration is transforming customer experience strategies. Lieberman explained that enterprises are moving beyond isolated AI tools toward orchestrated systems that coordinate multiple AI models, data sources, and workflows. Fuel iX is designed to help organizations manage this complexity, enabling them to deploy AI across customer engagement channels while maintaining control, governance, and consistency. “The challenge is no longer just deploying AI—it's orchestrating it across the entire customer journey,” Lieberman said. The platform allows enterprises to integrate AI into customer interactions in a structured and scalable way, supporting use cases such as automation, agent assistance, and personalized engagement. By orchestrating AI workflows, organizations can improve efficiency while delivering more seamless and context-aware customer experiences. The conversation also highlighted the importance of governance and trust as AI adoption accelerates. Enterprises must ensure that AI systems operate within defined guardrails, particularly when handling sensitive customer data and communications. As discussions at the Spring '25 vCon event continue to focus on the future of AI-driven communications, Fuel iX and TELUS Digital are positioning themselves at the forefront of helping organizations operationalize AI at scale while maintaining visibility, control, and trust. Learn more about Fuel iX: https://fuelix.ai/ Learn more about TELUS Digital: https://telusdigital.com/

Episode 166: In this episode of Critical Thinking - Bug Bounty Podcast we talk about Rez0's Claude Skill Secrets, when AI Generated reports fall apart, and agents vs filters.Follow us on twitter at: https://x.com/ctbbpodcastGot any ideas and suggestions? Feel free to send us any feedback here: info@criticalthinkingpodcast.ioShoutout to YTCracker for the awesome intro music!====== Links ======Follow your hosts Rhynorater, rez0 and gr3pme on X: https://x.com/Rhynoraterhttps://x.com/rez0__https://x.com/gr3pmeCritical Research Lab:https://lab.ctbb.show/ ====== Ways to Support CTBBPodcast ======Hop on the CTBB Discord at https://ctbb.show/discord!We also do Discord subs at $25, $10, and $5 - premium subscribers get access to private masterclasses, exploits, tools, scripts, un-redacted bug reports, etc.You can also find some hacker swag at https://ctbb.show/merch!Today's Sponsor: Adobe====== This Week in Bug Bounty ======Intigriti launched their ambassadors program. https://www.intigriti.com/ambassadorAdobe will be at Hack The Bayhttps://www.hackthebay.org/Bug Bounty Maturity Frameworkhttps://bugbountymaturity.com/====== Resources ======h1-brainhttps://github.com/PatrikFehrenbach/h1-braincaido skillshttp://github.com/caido/skillsTweet from Karpathyhttps://x.com/karpathy/status/2031767720933634100?s=20Find every inefficiency in your Claude workflow with one prompthttps://x.com/shannholmberg/status/2030605364421595468====== Timestamps ======(00:00:00) Introduction(00:08:28) Claude skills(00:30:00) How AI Generated reports fall apart(00:38:44) Orchestration(00:49:10) Agents vs Folders

In this episode of the AI Agent & Copilot Podcast, Tom Smith is joined by Kieron Allen, an industry analyst and AI observer, who shares insights from the 2026 AI Agent & Copilot Summit NA in San Diego. Together, they unpack major themes from the event, including agent orchestration, workforce reskilling, MCP's enterprise impact, and the evolving human-AI partnership. Key Takeaways Human + AI Orchestration Is the New Core Skill: Allen underscores that orchestration is not just about technology—it's about people managing AI systems effectively. Humans have to view agents as part of the workforce. This means employees must develop skills to coordinate, supervise, and optimize AI agents, treating them as collaborators rather than tools. The ability to orchestrate multiple agents will become a defining competency in modern organizations. Reskilling Must Address Culture and Collaboration One of Allen's strongest points is that reskilling goes beyond technical training. “We need to understand the AI… not just the tools, but also the cultural elements.” Organizations must prepare employees to work alongside AI, interpret outputs, and adapt workflows. This includes fostering trust in AI systems, redefining job roles, and building a culture that embraces continuous learning and collaboration with intelligent agents. MCP is Unlocking Massive Enterprise Efficiency: Smith highlights MCP as a breakthrough, describing it as a “USB-type connector” between AI and enterprise systems. With up to “650,000 actions” now automatable in Dynamics 365, MCP dramatically reduces manual effort. This standard simplifies integration across platforms, accelerates deployment, and enables scalable automation—making it a cornerstone for organizations looking to operationalize AI at scale. Customer-Centric AI Learning is Accelerating Adoption: Allen observes that many professionals are attending the conference not just for internal use, but because “they're attending this conference… for their customers.” This reflects a shift where AI literacy is becoming essential for delivering value externally. Businesses are recognizing that understanding AI enables them to better anticipate client needs, create new offerings, and remain competitive. Visit Cloud Wars for more.

Jake and Michael discuss all the latest Laravel releases, tutorials, and happenings in the community.Show linksCache Concurrency Limiting in Laravel 12.53.0Boost Guidelines & Skills Added in Inertia v2.3.16Livewire v4.2.0 Released with Security Hardening and Laravel 13 SupportFilament v5.3.0 Released with Deferred Tab Badges and Column Manager ImprovementsChief: Run Claude Code on Large Projects with Task-Based WorkflowsBlaze: An Optimized Blade Template Compiler for LaravelStop Failing APIs from Killing Your Queue — Fuse for LaravelFilament turns five in style!Laravel Launches an Open Directory of AI Agent Skills for Laravel and PHPFilament through the yearsWard: A Security Scanner for LaravelPolyscope Is an Ai-First Dev Environment for Orchestrating AgentsThe Inertia v3 Beta is HereKit: An Opinionated API Starter Kit for LaravelServe Markdown Versions of Your Laravel Pages to AI Agents

I walk through a complete 30-step playbook for building a modern SaaS company using AI agents, media, and sub-niche positioning. The core argument is that SaaS is evolving rather than dying, and the builders who win are the ones who combine a focused workflow product with a media flywheel and agent-powered execution. Drawing on my experience advising TikTok, Reddit, and building three venture-backed companies, I lay out a step-by-step framework any solo builder or small team can follow from niche selection through to becoming the default execution layer in their market. I'm hosting a free workshop so you can build your business in the age of AI. Sign up here: https://startup-ideas-pod.link/build-with-ai-2026 Timestamps 00:00 – Intro 01:18 – Step 1: Start with a sub-niche inside a big market 02:21 – Step 2-5: Map Workflow end to end 06:37 – Step 6-7: Create scroll-stopping content 10:15 – Steps 8–9: Double down on organic and run paid ads on winners 11:11 – Step 10: Capture emails from day one 11:47 – Steps 11–13: Manually perform the workflow and document every step 13:40 – Steps 14–16: Turn mechanical tasks into agent workflows and connect to real tools 14:47 – Step 17: Add orchestration, retries, and verifications 16:32 – Steps 18–19: Store user preferences and launch with high-touch onboarding 18:20 – Steps 20–21: Publish measurable proof and move to per-task pricing 21:21 – Steps 22–23: Outcome pricing and compounding value 22:07 – Steps 24–27: Expand workflows, build switching costs, create case studies 23:25 – Steps 28–30: Hire from the niche, reinvest profits, become the default layer 24:08 – Closing thoughts Key Points Start in a specific sub-niche, not a broad market — that is where sustainable cash flow lives, not VC competition. The future of SaaS starts as a service business: manually performing the workflow is how I learn what to automate. Media is a core business function, not an afterthought — content creation runs in parallel with product development from day one. Mechanical tasks are AI's strongest suit; separating judgment tasks from mechanical tasks is the key architectural decision. Per-task and outcome-based pricing is replacing per-seat models, and indie builders have a structural advantage in making that shift. Orchestration — coordinating agents, validating outputs, and resolving issues — is the new interface layer and the highest-value position to own. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/