Podcasts about prompt engineering

Alex Salazar is the CEO and Co-Founder of Arcade.dev, working on secure AI agents and real-world automation integrations.Chiara Caratelli is a Data Scientist at Prosus Group, working on AI agents, web automation, and evaluation of robust multimodal models.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterMLOps GPU Guide: ⁠https://go.mlops.community/gpuguide// AbstractAgents sound smart until millions of users show up. A real talk on tools, UX, and why autonomy is overrated.// BioChiara CaratelliChiara is a Data Scientist at Prosus, where she develops AI-driven solutions with a focus on AI agents, multimodal models, and new user experiences. With a PhD in Computational Science and a background in machine learning engineering and data science, she has worked on deploying AI-powered applications at scale, collaborating with Prosus portfolio companies to drive real-world impact.Beyond her work at Prosus, she enjoys experimenting with generative AI and art. She is also an avid climber and book reader, always eager to explore new ideas and share knowledge with the AI and ML community.Alex SalazarAlex is the CEO and co-founder of Arcade.dev, the unified agent action platform that makes AI agents production-ready. Previously, Salazar co-founded Stormpath, the first authentication API for developers, which was acquired by Okta. At Okta, he led developer products, accounting for 25% of total bookings, and launched a new auth-centric proxy server product that reached $9M in revenue within a year. He also managed Okta's network of over 7,000 auth integrations. Alex holds a computer science degree from Georgia Tech and an MBA from Stanford University.// Related LinksWebsite: https://www.prosus.com/Website: https://www.arcade.dev/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Alex on LinkedIn: /alexsalazar/Connect with Chiara on LinkedIn: /chiara-caratelli/Timestamps:[00:00] Intro[00:15] Insights from iFood[06:22] API vs agent intention[09:45] Tool definition clarity[15:37] Preemptive context loading[27:50] Contextualizing agent data[33:27] Prompt bloat in payments[41:33] Agent building evolution[50:09] Agent program scalability[55:29] Why multi-agent is a dead end[56:17] Wrap up

Till det här avsnittet har vi samlat en rad tips på läsning, teknik och populärkultur inför den stundande julledigheten. Dessutom lanserar vi en ny podd: SoeTech Paper Picks.LÄNKAR:Soul sisters, en bra restaurang i LundPrompting Science Report 1: Prompt Engineering is Complicated and ContingentPrompting Science Report 2: The Decreasing Value of Chain of Thought in PromptingPrompting Science Report 3: I'll pay you or I'll kill you — but will you care?Prompting Science Report 4: Playing Pretend: Expert Personas Don't Improve Factual Accuracy 2025:8 De fattiga och de rika – en ESO-rapport om inkomstjämlikhet och inkomströrlighet i Sverige 1991–2021Trumps idévärld (Timbro förlag)Dokument inifrån: Hatet (SVT Play) (extratips att öka uppspelningshastigheten)Cosmos Institute: The Academy for Philosopher-BuildersCosmos Institute SubstackRemarkable Pro MoveCyberpunk 2077 (spel)Severence (Tv-serie)SoeTech Paper Picks Hosted on Acast. See acast.com/privacy for more information.

Welcome to AI Unraveled (December 18, 2025): Your daily strategic briefing on the business impact of artificial intelligence.In this special edition of AI Unraveled, we conduct a forensic accounting of the "Vibe Shift" hitting the tech world in Q4 2025. Based on an exhaustive analysis of thousands of developer discussions across Reddit and X, we explore the rising sentiment of "AI Fatigue."This isn't about boredom—it is a militant reaction to technical regression. We break down the "Hype-Utility Gap," the widespread complaints about Gemini 3.0 and Claude 4.5 becoming "lazy" (refusing to write code), and the invasive rise of corporate AI surveillance. We also discuss the "VRAM Crisis" creating a class divide among developers and the pragmatic roadmap for surviving the "Slop Era."Key Topics:The Executive Summary: Why the "Generative Boom" has turned into the "Trough of Exhaustion."Frustration A: The "Hype-Utility Gap"—Why developers are tired of being told tools will replace CEOs when they can't even retain file context.Frustration B: The Degradation Crisis—Why Gemini 3.0 and Claude 4.5 are giving you placeholder comments (// rest of code here) instead of solutions.The Surveillance State: How companies are weaponizing "prompt logs" and "commit velocity" to spy on workers.The VRAM Class Divide: The "Memory Vacuum" that separates the haves from the have-nots.[16:30] The Take: Moving to the "Cyborg Workflow"—Treating AI like a junior intern, not a god.Keywords: AI Fatigue, Gemini 3.0 Pro, Claude 4.5 Sonnet, Model Collapse, AI Slop, Developer Burnout, Hype-Utility Gap, VRAM Crisis, AI Surveillance, Prompt Engineering, Q4 2025 AI Trends, Etienne NoumenHost Connection & Engagement:Connect with Etienne: https://www.linkedin.com/in/enoumen/Advertise on AI Unraveled and reach C-Suite Executives directly: Secure Your Mid-Roll Spot here: https://forms.gle/Yqk7nBtAQYKtryvM6

As we close out 2025, Peter and Dave are making predictions about what's coming in 2026, especially around AI, organizational change, and how teams actually work.They cover five key predictions:AI moves from tools to organizational capability: Organizations that invest in literacy, governance, and data foundations will pull ahead of those just sprinkling AI on top and hoping for the best.Critical thinking beats prompt engineering: The real competitive advantage won't be writing clever prompts. It'll be knowing when to pause, think through the problem, and decide if you even need the AI in the first place.Product delivery becomes non-negotiable: After 20 years of pushing Agile principles, AI might finally force organizations to actually adopt them (even if they're reluctant to call it "Agile").Businesses return to fundamentals: Just like the dot-com bubble, we're heading toward a moment where the market will care more about revenue, customers, and sustainability than hype.Reskilling becomes a structural investment: Organizations will need to figure out what roles actually look like in an AI-enabled world and invest in growing their people, not just replacing them.At the end, Peter and Dave pick which prediction is hardest to measure (spoiler: it's critical thinking) and commit to revisiting these in March to see how wrong they were.If you've been wondering where all this AI stuff is actually heading, this episode cuts through the noise with grounded, practical predictions you can actually use.Related episodes:AI and Knowledge Management with Derek Crager: https://www.buzzsprout.com/1643821/episodes/17360635Product vs. Process Innovation: https://www.buzzsprout.com/1643821/episodes/7953100There Are No Safe Bets in Business Anymore: https://www.buzzsprout.com/1643821/episodes/17433034Reach out: feedback@definitelymaybeagile.com

در این اپیزود تحلیلی و آموزنده از مدرسه زندگی فارسی، با استفاده از بهانه‌ای به‌نام هوش مصنوعی، به یکی از مهم‌ترین مهارت‌های فراموش‌شده‌ی زندگی می‌پردازیم: توانایی دقیق خواستن و بیان جزئیات خواسته‌ها. مهارتی که در قالب "پرامپت نویسی" در دنیای امروز، هم در کار با هوش مصنوعی و هم در ارتباطات انسانی نقش حیاتی دارد.در این ویدیو می‌آموزیم:چرا ذهن ما اغلب توانایی تجسم جزئیات خواسته‌ها را ندارد؟چگونه کودکی، تجربه‌های عاطفی و فرهنگ ما، زبان خواستن را شکل می‌دهد؟چرا اغلب در بیان اهداف و خواسته‌هایمان دچار تعارف و لکنت می‌شویم؟چگونه با تمرین و شناخت دقیق‌تر واژه‌ها، ایده‌هایمان را به واقعیت تبدیل کنیم؟چیستی و اهمیت «مهندسی دستور» یا Prompt Engineering در هوش مصنوعی و زندگی واقعیچرا خجالت یا پرتوقع بودن، مانع تحقق اهداف ما می‌شود؟چگونه بازخورد (فیدبک) از هوش مصنوعی و دیگران، می‌تواند ما را به بازنویسی مسیر هدایت کند؟این ویدیو تلاشی‌ست برای ایجاد یک نگاه جدید به هنر خواستن، هنر توصیف، و مهارت ساختن ایده در دنیایی که دیگر ابزارها آماده‌اند، ولی واژه‌ها و نیت‌ها هنوز شکل نگرفته‌اند.لینک ویدیوی انگلیسی:https://youtu.be/7Z1XanIyUEA#پرامپت_نویسی #هوش_مصنوعی #توسعه_فردی #مهارتهای_زندگی #مدرسه_زندگی_فارسی #PromptEngineering #AIcommunication #خودسازی #کلمات_دقیق #فلسفه_هوش_مصنوعی #زندگی_آگاهانه #گفتگو_موثر #مهارت_خواستن #AIthinking #درک_عمیق #پادکست #مرور_کتاب#کتاب_صوتی #ایمان_فانی #مدرسه_زندگی_فارسی #تحلیل #مطالعات_میان_رشته‌ای #podcast #interdisciplinary_Studies #iman_fani #persian_school_of_life لینک حمایت مالی:https://hamibash.com/schoolخرید دوره‌های آموزشی در خارج از کشور:https://imanfani.thinkific.comخرید دوره‌های آموزشی در ایران:https://b2n.ir/a19688https://imanfani.comhttps://instagram.com/dr_iman_fanihttps://telegram.me/dr_iman_faniلینک ویدیوی انگلیسی و کانال یوتیوب ورد ولکانhttp://www.youtube.com/@WordVulcanPress Hosted on Acast. See acast.com/privacy for more information.

What happens when every major AI model gets jailbroken within days? This week, the world's most prolific AI red teamer lifts the curtain on how and why "safe" AI might be an impossible promise. Pliny the Liberator | pliny.gg - discord.gg/basi ChatGPT Nears 900 Million Weekly Active Users But Gemini is Catching Up From Llamas to Avocados: Meta's shifting AI strategy is causing internal confusion Google Tells Advertisers It'll Bring Ads to Gemini in 2026 Meta Acquires Limiteless, an A.I. Pendant Company Backed by Sam Altman Here's how Google is laying the foundation for our mixed reality future OpenAI, Anthropic, and Block Are Teaming Up to Make AI Agents Play Nice Svedka's First Super Bowl Ad Will Be Made Primarily With AI AI Slop Is Ruining Reddit for Everyone TESCREALers paying journalists at major outlets to cover AI The Resonant Computing Manifesto (from Masnick) Techdirt fundraiser From Sam Lessin: Tech bros head to etiquette camp as Silicon Valley levels up its style Bare Metal Email Jeff in Austria Golden Globes enter the world of podcasts and tread carefully, avoiding controversy Who says AI isn't useful? Real-time Cricket Sorting By Sex Hosts: Leo Laporte, Jeff Jarvis, and Mike Elgan Guest: Pliny the Liberator Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: auraframes.com/ink ventionteams.com/twit agntcy.org outsystems.com/twit

What happens when every major AI model gets jailbroken within days? This week, the world's most prolific AI red teamer lifts the curtain on how and why "safe" AI might be an impossible promise. Pliny the Liberator | pliny.gg - discord.gg/basi ChatGPT Nears 900 Million Weekly Active Users But Gemini is Catching Up From Llamas to Avocados: Meta's shifting AI strategy is causing internal confusion Google Tells Advertisers It'll Bring Ads to Gemini in 2026 Meta Acquires Limiteless, an A.I. Pendant Company Backed by Sam Altman Here's how Google is laying the foundation for our mixed reality future OpenAI, Anthropic, and Block Are Teaming Up to Make AI Agents Play Nice Svedka's First Super Bowl Ad Will Be Made Primarily With AI AI Slop Is Ruining Reddit for Everyone TESCREALers paying journalists at major outlets to cover AI The Resonant Computing Manifesto (from Masnick) Techdirt fundraiser From Sam Lessin: Tech bros head to etiquette camp as Silicon Valley levels up its style Bare Metal Email Jeff in Austria Golden Globes enter the world of podcasts and tread carefully, avoiding controversy Who says AI isn't useful? Real-time Cricket Sorting By Sex Hosts: Leo Laporte, Jeff Jarvis, and Mike Elgan Guest: Pliny the Liberator Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: auraframes.com/ink ventionteams.com/twit agntcy.org outsystems.com/twit

What happens when every major AI model gets jailbroken within days? This week, the world's most prolific AI red teamer lifts the curtain on how and why "safe" AI might be an impossible promise. Pliny the Liberator | pliny.gg - discord.gg/basi ChatGPT Nears 900 Million Weekly Active Users But Gemini is Catching Up From Llamas to Avocados: Meta's shifting AI strategy is causing internal confusion Google Tells Advertisers It'll Bring Ads to Gemini in 2026 Meta Acquires Limiteless, an A.I. Pendant Company Backed by Sam Altman Here's how Google is laying the foundation for our mixed reality future OpenAI, Anthropic, and Block Are Teaming Up to Make AI Agents Play Nice Svedka's First Super Bowl Ad Will Be Made Primarily With AI AI Slop Is Ruining Reddit for Everyone TESCREALers paying journalists at major outlets to cover AI The Resonant Computing Manifesto (from Masnick) Techdirt fundraiser From Sam Lessin: Tech bros head to etiquette camp as Silicon Valley levels up its style Bare Metal Email Jeff in Austria Golden Globes enter the world of podcasts and tread carefully, avoiding controversy Who says AI isn't useful? Real-time Cricket Sorting By Sex Hosts: Leo Laporte, Jeff Jarvis, and Mike Elgan Guest: Pliny the Liberator Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: auraframes.com/ink ventionteams.com/twit agntcy.org outsystems.com/twit

What happens when every major AI model gets jailbroken within days? This week, the world's most prolific AI red teamer lifts the curtain on how and why "safe" AI might be an impossible promise. Pliny the Liberator | pliny.gg - discord.gg/basi ChatGPT Nears 900 Million Weekly Active Users But Gemini is Catching Up From Llamas to Avocados: Meta's shifting AI strategy is causing internal confusion Google Tells Advertisers It'll Bring Ads to Gemini in 2026 Meta Acquires Limiteless, an A.I. Pendant Company Backed by Sam Altman Here's how Google is laying the foundation for our mixed reality future OpenAI, Anthropic, and Block Are Teaming Up to Make AI Agents Play Nice Svedka's First Super Bowl Ad Will Be Made Primarily With AI AI Slop Is Ruining Reddit for Everyone TESCREALers paying journalists at major outlets to cover AI The Resonant Computing Manifesto (from Masnick) Techdirt fundraiser From Sam Lessin: Tech bros head to etiquette camp as Silicon Valley levels up its style Bare Metal Email Jeff in Austria Golden Globes enter the world of podcasts and tread carefully, avoiding controversy Who says AI isn't useful? Real-time Cricket Sorting By Sex Hosts: Leo Laporte, Jeff Jarvis, and Mike Elgan Guest: Pliny the Liberator Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: auraframes.com/ink ventionteams.com/twit agntcy.org outsystems.com/twit

What happens when every major AI model gets jailbroken within days? This week, the world's most prolific AI red teamer lifts the curtain on how and why "safe" AI might be an impossible promise. Pliny the Liberator | pliny.gg - discord.gg/basi ChatGPT Nears 900 Million Weekly Active Users But Gemini is Catching Up From Llamas to Avocados: Meta's shifting AI strategy is causing internal confusion Google Tells Advertisers It'll Bring Ads to Gemini in 2026 Meta Acquires Limiteless, an A.I. Pendant Company Backed by Sam Altman Here's how Google is laying the foundation for our mixed reality future OpenAI, Anthropic, and Block Are Teaming Up to Make AI Agents Play Nice Svedka's First Super Bowl Ad Will Be Made Primarily With AI AI Slop Is Ruining Reddit for Everyone TESCREALers paying journalists at major outlets to cover AI The Resonant Computing Manifesto (from Masnick) Techdirt fundraiser From Sam Lessin: Tech bros head to etiquette camp as Silicon Valley levels up its style Bare Metal Email Jeff in Austria Golden Globes enter the world of podcasts and tread carefully, avoiding controversy Who says AI isn't useful? Real-time Cricket Sorting By Sex Hosts: Leo Laporte, Jeff Jarvis, and Mike Elgan Guest: Pliny the Liberator Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: auraframes.com/ink ventionteams.com/twit agntcy.org outsystems.com/twit

What happens when every major AI model gets jailbroken within days? This week, the world's most prolific AI red teamer lifts the curtain on how and why "safe" AI might be an impossible promise. Pliny the Liberator | pliny.gg - discord.gg/basi ChatGPT Nears 900 Million Weekly Active Users But Gemini is Catching Up From Llamas to Avocados: Meta's shifting AI strategy is causing internal confusion Google Tells Advertisers It'll Bring Ads to Gemini in 2026 Meta Acquires Limiteless, an A.I. Pendant Company Backed by Sam Altman Here's how Google is laying the foundation for our mixed reality future OpenAI, Anthropic, and Block Are Teaming Up to Make AI Agents Play Nice Svedka's First Super Bowl Ad Will Be Made Primarily With AI AI Slop Is Ruining Reddit for Everyone TESCREALers paying journalists at major outlets to cover AI The Resonant Computing Manifesto (from Masnick) Techdirt fundraiser From Sam Lessin: Tech bros head to etiquette camp as Silicon Valley levels up its style Bare Metal Email Jeff in Austria Golden Globes enter the world of podcasts and tread carefully, avoiding controversy Who says AI isn't useful? Real-time Cricket Sorting By Sex Hosts: Leo Laporte, Jeff Jarvis, and Mike Elgan Guest: Pliny the Liberator Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: auraframes.com/ink ventionteams.com/twit agntcy.org outsystems.com/twit

Many market research, UX, and CX teams now use AI for brainstorming, writing, and various research tasks. But it's not always easy, especially when using AI to help researchers craft surveys and discussion guides. The recurring issue isn't effort—it's uneven quality from ad hoc prompting. In "Prompt Engineering for Researchers," host Kathryn Korostoff demonstrates two structured approaches that keep rigor intact while reducing rework. First, Prompt Chaining: design the deliverable step by step—structure before content—using short review loops to tune timing, probes, and flow. Second, Reflexion (with an "X"): asking the AI to critique its own draft for bias, confusion, or sequencing and to document changes. Example: "Review this guide and revise any questions that may be leading, biased, or confusing. Then list the changes you made and why you made them." And it will! Check out this episode for examples of using effective AI prompting for qualitative and quantitative researchers. #MarketResearch #QualitativeResearch #UXResearch #CXResearch #SurveyDesign #AIforResearch Conversations for Research Rockstars is produced by Research Rockstar Training & Staffing. Our 25+ Market Research eLearning classes are offered on demand and include options to earn Insights Association Certificates. Our Rent-a-Researcher staffing service places qualified, fully vetted market research experts, covering temporary needs due to project and resource fluctuations. We believe it: Inside every market researcher is a Research Rockstar! Hope you enjoy this episode of Conversations for Research Rockstars. Research Rockstar | Facebook | LinkedIn | 877-Rocks10 ext 703 for Support, 701 for Sales Info@ResearchRockstar.com

Too many business owners are trying to use AI as a shortcut to fire people instead of using it to multiply the output of their best people. And that mindset is killing their growth. Matt Leitz has been building automation systems for 7- and 8-figure companies long before AI went mainstream. He's seen inside the machines powering 9-figure brands… and the truth is simple: automation isn't optional anymore. If you want to scale, you need a business that compounds output without requiring more of your time. Matt breaks down how to use AI as leverage — not as a crutch. He shares where founders get stuck, which systems create the highest ROI, how to turn funnels profitable even when ads lose money on day one, and how to build automations that drive revenue for years. If you've been trying to figure out how to integrate AI without breaking your business, this conversation will completely reset your framework.     Key Takeaways 00:00 Intro 01:36 You're Thinking About AI All Wrong 02:54 AI Agents and Chatbots 05:24 Start With Strategy, Not Technology 08:09 Why You Shouldn't Automate Reporting 11:22 Prompt Engineering is Easier Than You Think 16:04 How To Build & Leverage Custom GPTs 20:41 Collaborating With AI For Better Results 27:10 AI Tool that Boosts Sales Rep Performance 30:06 Why Tool-Hopping Slows Your Growth 31:50 Why Automation Is Required To Scale Big 35:35 Are Traditional Marketing Funnels Dead? 41:03 When to Focus ON or IN the Business 45:42 The Real Path To Scaling Ad Spend 54:03 Lead Offers vs. Maximizer Offers 01:02:06 Protecting Your Time Above Everything Else     Watch on YouTube: https://youtu.be/F96ncjHK8jI    Let's Connect: Website | Instagram | YouTube | TikTok | Twitter | Facebook

Is Generative AI moving too fast? From viral deepfake videos to powerful coding assistants, AI is reshaping our world at a breathtaking pace. But with this power comes immense risk: to our privacy, to intellectual property, and even to our ability to tell what's real. How do we navigate this complex new landscape responsibly?In this episode, Allen sits down with Maggie Engler and Numa Dhamani, authors of "Intro to Gen AI, Second Edition" and veterans in the fields of cybersecurity and trust & safety. They pull back the curtain on how these powerful models are built, the societal impact they're having, and the urgent conversations we need to have about data governance, AI agents, and the looming digital trust crisis.IN THIS EPISODE00:00 - Prompt Engineering, AI Agents & More03:27 - The Guests' Backgrounds in Cybersecurity and Trust & Safety09:31 - The Hidden Risks of Sharing Your Data with AI13:02 - Copyright vs. AI18:52 - The Digital Trust Crisis24:36 - Watermarking and Digital Verification30:25 - Using Proprietary Code with AI Assistants36:56 - AI Agents42:37 - Who This Book Is For (and Who It's Not For)

Text us your thoughts on the episode or the show!In this episode of OpsCast, hosted by Michael Hartmann and powered by MarketingOps.com, we are joined by Spencer Tahil, Founder and Chief Growth Officer at Growth Alliance. Spencer helps organizations design AI and automation workflows that enhance go-to-market efficiency, streamline revenue operations, and strengthen marketing performance.The discussion focuses on how to move from experimentation to execution with AI. Spencer shares his systems-driven approach to identifying automation opportunities, prioritizing high-impact workflows, and building sustainable frameworks that improve strategic thinking rather than replace it.In this episode, you will learn:How to identify and prioritize tasks for automation using a value versus frequency modelThe biggest mistakes teams make when integrating AI into their workflowsHow AI can strengthen strategic decision-making instead of replacing peoplePractical prompting frameworks for achieving accurate and useful resultsThis episode is ideal for marketing operations, RevOps, and growth professionals who want to turn AI experimentation into measurable, scalable execution.Episode Brought to You By MO Pros The #1 Community for Marketing Operations Professionals Ops Cast is brought to you in partnership with Emmie Co, an incredible group of consultants leading the top brands in all things Marketing Operations. Check the mount at Emmieco.comSupport the show

Product managers and product owners are drowning in documentation, vision statements, roadmaps, and backlogs. But what if AI could handle the heavy lifting, freeing you up to actually talk to customers?In this episode, Dave and Peter explore how large language models are changing product management. They go beyond the obvious use cases (like generating user stories) to discuss upstream opportunities: building product strategy, validating market positioning, and testing ideas against competitors.You'll learn:Why documenting your product strategy matters (and why most PMs skip it)How to prompt AI to be critical, not just complimentaryThe danger of accepting AI outputs without evaluationTemperature settings, context windows, and other practical techniquesWhat to do with the time you get back (hint: talk to real customers)Dave and Peter also share a key practice: write down what you expect before you prompt. This simple step helps you critically evaluate AI responses instead of accepting them at face value.If you're a product manager, product owner, or anyone building digital products, this conversation will help you use AI as a tool for better thinking, not just faster output.

Peut-on vraiment avoir un style à l'ère de l'intelligence artificielle ?Dans cet extrait de notre podcast, Sébastien Hubert explique comment apporter sa singularité dans la création visuelle avec l'IA :Comment travailler son prompt, jouer avec la lumière, la composition, et dépasser le simple “prompt engineering”.Parce qu'en IA, on crée avec les mots... mais demain, c'est peut-être l'IA qui nous promptera.Extrait de l'épisode « Comment l'IA bouscule la chaîne de création de contenu ? » du podcast De quoi on parle ?, créé par Wait for it, agence créative slash studio de prod. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

In this episode of "Alter Everything," we sit down with Andrew Merrill, Alteryx product specialist and advocate, to explore best practices for integrating AI and LLMs into data analytics processes. Some topics we discuss include proven design patterns for generative AI, such as feedback loops, routing, and RAG architectures, and learn how to avoid common pitfalls like token overuse and data governance challenges. Andrew shares real-world use cases, tips for leveraging Alteryx Co-pilot, and strategies for prompt engineering to maximize workflow efficiency. Panelists: Andrew Merrill, Alteryx Consultant - @CoG, LinkedInMegan Bowers, Sr. Content Manager @ Alteryx - @MeganBowers, LinkedInShow notes: Alteryx Gen AI ToolsAlteryx Co-pilotAlteryx Inspire Interested in sharing your feedback with the Alter Everything team? Take our feedback survey here!This episode was produced by Megan Bowers, Mike Cusic, and Matt Rotundo. Special thanks to Andy Uttley for the theme music.

CMMC 2.0 explained in plain English — what it means for small businesses, defense contractors, and vendors across the DoD supply chain. Learn about Level 1 vs Level 2, self-attestation risks, C3PAO shortages, compliance deadlines, and how to stay audit-ready before 2025.Don't miss out on crucial information about the CMMC 2025 deadline. The Cybersecurity Maturity Model Certification is a vital requirement for businesses dealing with the Department of Defense. If you miss the deadline, you risk losing contracts and facing severe penalties. In this video, we'll explore the consequences of missing the CMMC 2025 deadline and provide valuable insights on how to prepare and stay compliant. Stay ahead of the game and ensure your business is CMMC-ready. Find out what happens if you missed the deadline and learn how to avoid costly mistakes. Tune in now and take the first step towards CMMC compliance. CHAPTERS00:00 – The 4 Letters That Can End Your Business00:15 – CMMC 2.0: Why November 10, 2025 Changes Everything01:35 – Meet the Expert: Frontline View from a CMMC Assessor02:59 – What Is CMMC (In Plain English)?04:20 – FCI vs CUI: The Data That Decides Your Level07:05 – Are You Level 1 or Level 2? How the Flow-Down Really Work10:05 – Why the DoD Stopped “Trusting” Small Contractors11:40 – Supply-Chain Breaches: How Third Parties Take You Down13:00 – Level 1: The 17 “Basic” Controls Everyone Ignores17:00 – The Dangerous Game of Fudging Your Self-Attestation21:15 – Level 2: 110 Controls, SSPs, and the Reality of NIST 800-17123:40 – C3PAO Bottleneck: Why Waiting Means Losing Contracts26:30 – POA&M and the 180-Day “Grace” Trap32:05 – Surprise: Printers, MSPs, and “Non-Defense” Vendors in the Blast Radius35:15 – CMMC Is Not Going Away (And Other Hard Truths)37:05 – Countdown to FallSend us a textGrowth without Interruption. Get peace of mind. Stay Competitive-Get NetGain. Contact NetGain today at 844-777-6278 or reach out online at www.NETGAINIT.com Support the show

Kreative, hört auf, KI zu fürchten. Nutzt sie, führt sie. Kombiniert Tools, bleibt menschlich. Michael sagt's simpel: „Experimentiert, aber mit Kontrolle.“ Wenn Du über alles aktuelle im Social Ads Kosmos Bescheid wissen möchtest, abonniere gerne unseren Podcast. Hier kriegst Du deinen wöchentlichen Nerds-Input. 🤓 Hier geht es zum [Blog](https://www.dienerds.com/blog), zu unseren [offenen Stellenanzeigen](https://www.dienerds.com/jobs-bei-den-nerds) und zu unserem [Kontaktformular](https://www.dienerds.com/kampagnensteuerung).

In this insightful episode, explore why everyone is becoming an AI operator and why mastering prompt engineering is the key differentiator in the modern workforce. Learn how to effectively communicate with AI to get the results you want—a skill that takes just 10 minutes of proper setup versus 50 minutes of back-and-forth fixes. The conversation also delves into global marketing challenges across different cultures and geographical regions, examining real examples from Sweden to the UK to show how cultural nuances still matter despite the supposed cultural flattening from media. A major part of this discussion focuses on demystifying "revolutionary" technology buzzwords. Discover how cloud computing, APIs, and AI integration aren't actually new—they're just rebranded existing concepts with fancy names. From AWS RDS being just hosted MySQL to MCP being REST API calls, learn to see through the marketing terminology and recognize the simplicity beneath. The episode concludes with thought-provoking discussions about AI's potential for real-world task automation, existential risks, and why treating AI like a good team member with proper context and instructions leads to superior results. Perfect for: Content creators, social media managers, and anyone looking to understand modern technology without the jargon. Try Vista Social for FREE today Book a Demo Follow us on Instagram Follow us on LinkedIn Follow us on Youtube

On this episode of FDE+, Kortney Harmon and Mike Wolford, CEO of LexDuo, explore how AI is redefining what it means to be a recruiter—and why the future belongs to those who build with it, not just use it.They discuss how recruiters are moving beyond basic prompting into programming and workflow design—creating custom GPTs, connecting APIs, and automating tasks that once drained hours from their day. Mike also explains how imagination has become a recruiter's new competitive advantage and outlines the ethical and legal considerations that come with building AI-driven systems.Key Takeaways • The three levels of AI adoption and how each elevates recruiter performance • Why creativity, not coding, defines success in the AI-driven era • How API connections can integrate your ATS, CRM, and communication tools • The coming divide between corporate TA and staffing—and where opportunity grows • How to “automate and elevate” recruiting by combining AI precision with human judgmentDiscover how forward-thinking recruiters are using AI to amplify—not replace—the human side of hiring.___________Follow Mike Wolford on LinkedIn: LinkedIn | Mike Check out his website: lexduo.net Follow Crelate on LinkedIn: Crelate Want to learn more about Crelate? Book a demo here Subscribe to our newsletter: The Full Desk Experience

In this episode of "The Free Lawyer" podcast, host Gary interviews guest Ana Juneja, an IP lawyer and entrepreneur. They discuss Ana's journey from law firm associate to media company owner. Ana shares how she sold her media business to focus on law and explains how AI has revolutionized her firm's transactional work, enabling a small team to serve clients efficiently. She offers insights on trademark protection, debunks common IP myths, and highlights the importance of early trademark registration. The episode highlights the importance of innovation, transparency, and leveraging AI and social media to empower lawyers and improve client service.As an award-winning intellectual property attorney and the founder of Ana Law®, Ana Juneja is redefining how attorneys leverage AI to create impactful social media content.She empowers celebrities, athletes, influencers, start-ups, entrepreneurs, and corporations to not only protect their brands and ideas but also amplify them across digital platforms using cutting-edge AI-driven strategies.Ana Law® is the first and only law firm offering flat-fee, 100% guaranteed patent, trademark, and copyright services, with Ana maintaining a 100% success rate.Beyond traditional legal work, she speaks widely on the intersection of AI, law, and social media, helping professionals understand how emerging technologies can safeguard and scale their influence.AI's Impact on Legal Practice (00:03:04)Scope of IP and Transactional Work (00:04:20)Scaling with AI (00:05:47)Lawyers' Resistance to AI (00:06:42)AI in Transactional vs. Litigation Work (00:07:37)Best Uses of AI in Litigation (00:09:23)Lawyer Hesitancy and AI Psychosis (00:10:26)Big Law Firms and AI Adoption (00:11:41)Prompt Engineering and Lawyer Skillsets (00:14:10)Ana's Background at USPTO (00:16:02)IP Protection for Businesses (00:17:09)]Basic IP Protections for Businesses (00:19:06)Automating Client Communication with AI (00:21:39)Common IP Misconceptions (00:23:25)Client Types and Fee Structure (00:24:11)Service Guarantees in Legal Practice (00:26:02)Advice for Lawyers New to AI (00:26:54)Personal Freedom and Business Systems (00:27:49)Would you like to learn what it looks like to become a truly Free Lawyer? You can schedule a courtesy call here: https://calendly.com/garymiles-successcoach/one-one-discovery-callWould you like to learn more about Breaking Free or order your copy? https://www.garymiles.net/break-free

In this live SocialNext: Toronto 2025 conversation, guest host Maddie Alvarez sits down with Charlie Grinnell, digital leader turned co-CEO of research startup Right Metric (ex-Red Bull, Aritzia, adidas Terrex). Buckle up for sharp, candid takes on why language matters more than ever, how to separate opinions from evidence, and why the most effective strategies are often about reduction, not expansion. From buzzword bingo to AI's real role in decision-making, Charlie breaks down how to turn messy metrics into clear choices, without needing a stats degree.Opinions are the guest's own.

This episode is sponsored by AGNTCY. Unlock agents at scale with an open Internet of Agents.  Visit https://agntcy.org/ and add your support. How is Coxwave Redefining AI Evaluation? In this episode of Eye on AI, host Craig Smith is joined by Yeop Lee, Head of Product at Coxwave. Together they explore how teams move beyond accuracy-only metrics to outcome focused evaluation with Coxwave's Align. We look at how Align measures satisfaction, trust, and task completion across chat, email, and voice, how LLM as judge pairs with human review, and how product teams search conversations to find hidden failure patterns that block adoption. Learn how leading companies design an evaluation stack that guides prompts, agents, and UX, which pitfalls to avoid when shipping updates, and which metrics matter most for success, including completion rate, CSAT, retention, and cost per resolution. You will also hear how to run experiment tracking with model and prompt change logs, set up governance that prevents regressions, and choose between SaaS and on premise deployments that meet security and compliance needs. Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI

קצת אחרי שChatGPT יצא, נטבע המושג Prompt Engineering - איך לבחור את המילים הנכונות כדי לגרום לבינה מלאכותית לעשות בדיוק את מה שאנחנו רוצים. היו נבואות שזה יהפוך למקצוע העתיד, שכל חברה תעסיק מומחים בתחום. מה שקצת פחות קרה. שנתיים וחצי קדימה, אנדריי קרפטי קבע מושג חדש - Context Engineering. האומנות והמדע העדין של מילוי החלון הקונטקסטואלי בדיוק במידע הנכון. בפרק מתארח לי טוויטו, מייסד Lank Talks, לשיחה על איך זה באמת עובד בפועל. איך מונעים מאייג'נטים לקבל קונטקסט לא רלוונטי, למה sub-agents פותרים בעיות שלא ידענו שיש לנו, ואיך מנהלים זיכרון ארגוני נכון. האזנה נעימה, עמית בן דור.

-------------------About Manuel Suarez:Manuel Suarez, known as the "Marketing Ninja" and a "Best Selling Author" of "Marketing Magic", leads Attention Grabbing Media (AGM), a marketing agency honored three times on the Inc 5000 list. With a team of over 120, AGM specializes in turning attention into profit for a wide array of brands. In 2023 alone, brands managed by AGM exceeded 250 million USD in revenue.Manuel is also the co-founder of NaturalSlim, a self-funded high 9-figure brand. He has elevated thousands of businesses across various sectors and has directed marketing campaigns for industry leaders like Dr. Eric Berg, Grant Cardone, and Daymond John.He is also responsible for two of the top 15 largest U.S. YouTube channels—Dr. Eric Berg and MetabolismoTV—which together have over 20 million subscribers. Over seven years, his strategies have amassed 8 billion views, generated 5 million leads, and earned over 500 million USD in revenue.Follow Manuel Suarez on Social Media:- Facebook: https://www.facebook.com/theninjamarketer/- Instagram: https://www.instagram.com/mrmanuelsuarez/- TikTok: https://www.tiktok.com/@mrmanuelsuarez- X (formerly Twitter): https://x.com/MrManuelSuarez- LinkedIn: https://www.linkedin.com/in/mrmanuelsuarez/Learn More About AGM:- Visit our website: https://www.agmagency.comNeed Help with Your Marketing?- Talk to a Ninja: https://www.talktoaninja.comCheck Out Manuel's Book, a #1 Seller on Amazon:- Marketing Magic by Manuel Suarez: https://a.co/d/gbwHKSf

AI Assisted Coding: Pachinko Coding—What They Don't Tell You About Building Apps with Large Language Models, With Alan Cyment In this BONUS episode, we dive deep into the real-world experience of coding with AI. Our guest, Alan Cyment, brings honest perspectives from the trenches—sharing both the frustrations and breakthroughs of using AI tools for software development. From "Pachinko coding" addiction loops to "Mecha coding" breakthroughs, Alan explores what actually works when building software with large language models. From Thermomix Dreams to Pachinko Reality "I bought into the Thermomix coding promise—describe the whole website and it would spit out the finished product. It was a complete disaster." Alan started his AI coding journey with high expectations, believing he could simply describe a complete application and receive production-ready code. The reality was far different. What he discovered instead was an addictive cycle he calls "Pachinko coding" (Pachinko, aka Slot Machines in Japan)—repeatedly feeding error messages back to the AI, hoping each iteration would finally work, while burning through tokens and time. The AI's constant reassurances that "this time I fixed it" created a gambling-like feedback loop that left him frustrated and out of pocket, sometimes spending over $20 in API credits in a single day. The Drunken PhD with Amnesia "It felt like working with a drunken PhD with amnesia—so wise and so stupid at the same time." Alan describes the maddening experience of anthropomorphizing AI tools that seem brilliant one moment and completely lost the next. The key breakthrough came when he stopped treating the AI as a person and started seeing it as a function that performs extrapolations—sometimes accurate, sometimes wildly wrong. This mental shift helped him manage expectations and avoid the "rage coding" that came from believing the AI should understand context and maintain consistency like a human collaborator. Making AI Coding Actually Work "I learned to ask for options explicitly before any coding happens. Give me at least three options and tell me the pros and cons." Through trial and error, Alan developed practical strategies that transformed AI from a frustrating Pachinko machine into a useful tool: Ask for options first: Always request multiple approaches with pros and cons before any code is generated Use clover emoji convention: Implement a consistent marker at the start of all AI responses to track context Small steps and YAGNI principles: Request tiny, incremental changes rather than large refactoring Continuous integration: Demand the AI run tests and checks after every single change Explicit refactoring requests: Regularly ask for simplification and readability improvements Take two steps back: When stuck in a loop, explicitly tell the AI to simplify and start fresh Choose the right tech stack: Use technologies with abundant training data (like Svelte over React Native in Alan's experience) The Mecha Coding Breakthrough "When it worked, I felt like I was inside a Lego Mecha robot—the machine gave me superpowers, but I was still the one in control." Alan successfully developed a birthday reminder app in Swift in just one day, despite never having learned Swift. He made architectural decisions and guided the development without understanding the syntax details. This experience convinced him that AI represents a genuine new level of abstraction in programming—similar to the jump from assembly language to high-level languages, or from procedural to object-oriented programming. You can now think in English about what you want, while the AI handles the accidental complexity of syntax and boilerplate. The Cost Reality Check "People writing about vibe coding act like it's free. But many people are going to pay way more than they would have paid a developer and end up with empty hands." Alan provides a sobering cost analysis based on his experience. Using DeepSeek through Aider, he typically spends under $1 per day. But when experimenting with premium models like Claude Sonnet 3.5, he burned through $5 in just minutes. The benchmark comparisons are revealing: DeepSeek costs $4 for a test suite, DeepSeek R1 plus Sonnet costs $16, while Open AI's O1 costs $190. For non-developers trying to build complete applications through pure "vibe coding," the costs can quickly exceed what hiring a developer would cost—with far worse results. When Thermomix Actually Works "For small, single-purpose scripts that I'm not interested in learning about and won't expand later, the Thermomix experience was real." Despite the challenges, Alan found specific use cases where AI truly delivers on the "just describe it and it works" promise. Processing Zoom attendance logs, creating lookup tables for video effects, and other single-file scripts worked remarkably well. The pattern: clearly defined context, no need for ongoing maintenance, and simple enough to verify the output without deep code inspection. For these thermomix moments, AI proved genuinely transformative. The Pachinko Trap and Tech Stack Matters "It became way more stable when I switched to Svelte from React Native and Flutter, even following the same prompting practices. The AI is just more proficient in certain tech stacks." Alan discovered that some frameworks and languages work dramatically better with AI than others, likely due to the amount of training data available. His e-learning platform attempts with React Native and Flutter kept breaking, but switching to Svelte with web-based deployment became far more stable. This suggests a crucial strategy: choose mainstream, well-documented technologies when planning AI-assisted projects. From Coding to Living with AI Alan has completely stopped using traditional search engines, relying instead on LLMs for everything from finding technical documentation to getting recommendations for books based on his interests. While he acknowledges the risk of hallucinations, he finds the semantic understanding capabilities too valuable to ignore. He's even used image analysis to troubleshoot his father's cable TV problems and figure out hotel air conditioning controls. The Agile Validation "My only fear is confirmation bias—but the conclusion I see other experienced developers reaching is that the only way to make LLMs work is by making them use agility. So look at who's dead now." Alan notes the irony that the AI coding tools that actually work all require traditional software engineering best practices: small iterations, test-driven development, continuous integration, and explicit refactoring. The promise of "just describe what you want" falls apart without these disciplines. Rather than replacing software engineering principles, AI tools seem to validate their importance. About Alan Cyment Alan Cyment is a consultant, trainer, and facilitator based in Buenos Aires, specializing in organizational fluency, agile leadership, and software development culture change. A Certified Scrum Trainer with deep experience across Latin America and Europe, he blends agile coaching with theatre-based learning to help leaders and teams transform. You can link with Alan Cyment on LinkedIn.

In this issue of the Future of Cyber newsletter, Sean Martin digs into a topic that's quietly reshaping how software gets built—and how it breaks: the rise of AI-powered coding tools like ChatGPT, Claude, and GitHub Copilot.These tools promise speed, efficiency, and reduced boilerplate—but what are the hidden trade-offs? What happens when the tools go offline, or when the systems built through them are so abstracted that even the engineers maintaining them don't fully understand what they're working with?Drawing from conversations across the cybersecurity, legal, and developer communities—including a recent legal tech conference where law firms are empowering attorneys to “vibe code” internal tools—this article doesn't take a hard stance. Instead, it raises urgent questions:Are we creating shadow logic no one can trace?Do developers still understand the systems they're shipping?What happens when incident response teams face AI-generated code with no documentation?Are AI-generated systems introducing silent fragility into critical infrastructure?The piece also highlights insights from a recent podcast conversation with security architect Izar Tarandach, who compares AI coding to junior development: fast and functional, but in need of serious oversight. He warns that organizations rushing to automate development may be building brittle systems on shaky foundations, especially when security practices are assumed rather than applied.This is not a fear-driven screed or a rejection of AI. Rather, it's a call to assess new dependencies, rethink development accountability, and start building contingency plans before outages, hallucinations, or misconfigurations force the issue.If you're a CISO, developer, architect, risk manager—or anyone involved in software delivery or security—this article is designed to make you pause, think, and ideally, respond.

In this issue of the Future of Cyber newsletter, Sean Martin digs into a topic that's quietly reshaping how software gets built—and how it breaks: the rise of AI-powered coding tools like ChatGPT, Claude, and GitHub Copilot.These tools promise speed, efficiency, and reduced boilerplate—but what are the hidden trade-offs? What happens when the tools go offline, or when the systems built through them are so abstracted that even the engineers maintaining them don't fully understand what they're working with?Drawing from conversations across the cybersecurity, legal, and developer communities—including a recent legal tech conference where law firms are empowering attorneys to “vibe code” internal tools—this article doesn't take a hard stance. Instead, it raises urgent questions:Are we creating shadow logic no one can trace?Do developers still understand the systems they're shipping?What happens when incident response teams face AI-generated code with no documentation?Are AI-generated systems introducing silent fragility into critical infrastructure?The piece also highlights insights from a recent podcast conversation with security architect Izar Tarandach, who compares AI coding to junior development: fast and functional, but in need of serious oversight. He warns that organizations rushing to automate development may be building brittle systems on shaky foundations, especially when security practices are assumed rather than applied.This is not a fear-driven screed or a rejection of AI. Rather, it's a call to assess new dependencies, rethink development accountability, and start building contingency plans before outages, hallucinations, or misconfigurations force the issue.If you're a CISO, developer, architect, risk manager—or anyone involved in software delivery or security—this article is designed to make you pause, think, and ideally, respond.

Anita Verma is Senior Advisor at Dell Technologies. The discussion centres around employee influence, thought leadership, and how organisations can harness their people as authentic brand advocates. With over 25 years of experience in learning and development, she has successfully managed global programs, developed strategic partnerships, and created engaging content to drive a sales pipeline that serves all IT audiences, at all levels too. Anita is certified in Generative AI and Prompt Engineering and hold a National Diploma in Business Administration and Management from Richmond upon Thames College, and a Level 4 qualification in Adult Teaching from City & Guilds of London Art School. Trained by the Association of Talent Development, Boston, USA in the art of Creative Training Techniques under the instruction of Bob Pyke. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Robby welcomes Dan Cleary, Co-founder and CEO of PromptHub, an organisation focused on enhancing LLM-based applications. He's also one of the organisers behind the Prompt Engineering Conference, the world's first event exclusively dedicated to prompt engineering, taking place in London on October 16th.They discuss prompt engineering and management, what to expect from the upcoming conference, and what this emerging field means for enterprise AI and security.Cleary also shares why centralised prompt management matters, how AI's role in enterprise adoption is evolving, and what security professionals should explore to stay ahead.Send us a text

Welcome back to the Alt Goes Mainstream podcast.Today's episode provides a fascinating window into the world of private equity value creation and how AI can help transform both portfolio company and investment firm processes and operations to create value.We sat down in New York with Hg Partner and Head of Value Creation Chris Kindt to dive into how he spearheaded the growth of the firm's in-house value creation efforts and has built a high-performing team to meet the evolving needs of portfolio companies.Chris brings 15 years of experience in architecting and driving value creation to bear, with 11 years of experience at Hg and another 8 years as a consultant at BCG and Parthenon.Chris and his team are responsible for driving value across a portfolio of 55 companies that represents over $180B in enterprise value and would represent the second largest software company in Europe after SAP if it were a conglomerate.Chris and I had a thought-provoking discussion about value creation and the impact of AI on investing and operating companies. We discussed:How to build a high-performing value creation team.Where value creation has the biggest impact.How AI is transforming investment processes.How Hg has become an “AI-first” investment firm.Where AI will have the most impact in a company today and why agentic AI is transforming certain roles and processes within companies.How professionals can generate the most leverage from utilizing AI – without having cognitive decline.Why prompting and prompt engineering is so critical in the age of AI (and how you can use your weekends to perfect prompt engineering).How a management team can buy into AI and why the current time period represents an interesting opportunity for incumbents, particularly for those building mission-critical enterprise software.Thanks Chris for sharing your expertise and wisdom on company building and AI. We hope you enjoy.Note: this episode was filmed in August 2025.A word from AGM podcast sponsor, Ultimus Fund SolutionsThis episode of Alt Goes Mainstream is brought to you by Ultimus Fund Solutions, a leading full-service fund administrator for asset managers in private and public markets. As private markets continue to move into the mainstream, the industry requires infrastructure solutions that help funds and investors keep pace. In an increasingly sophisticated financial marketplace, investment managers must navigate a growing array of challenges: elaborate fund structures, specialized strategies, evolving compliance requirements, a growing need for sophisticated reporting, and intensifying demands for transparency.To assist with these challenging opportunities, more and more fund sponsors and asset managers are turning to Ultimus, a leading service provider that blends high tech and high touch in unique and customized fund administration and middle office solutions for a diverse and growing universe of over 450 clients and 1,800 funds, representing $500 billion assets under administration, all handled by a team of over 1,000 professionals. Ultimus offers a wide range of capabilities across registered funds, private funds and public plans, as well as outsourced middle office services. Delivering operational excellence, Ultimus helps firms manage the ever-changing regulatory environment while meeting the needs of their institutional and retail investors. Ultimus provides comprehensive operational support and fund governance services to help managers successfully launch retail alternative products.Visit www.ultimusfundsolutions.com to learn more about Ultimus' technology enhanced services and solutions or contact Ultimus Executive Vice President of Business Development Gary Harris on email at gharris@ultimusfundsolutions.com.We thank Ultimus for their support of alts going mainstream.Show Notes00:00 Message from our Sponsor, Ultimus01:18 Welcome to the Alt Goes Mainstream Podcast02:10 Guest Introduction: Chris Kindt03:58 Chris Kindt's Background and Journey05:43 Value Creation at Hg06:55 Pre-Investment and Diligence Process07:44 Management Team Dynamics08:40 Common Value Creation Interventions11:14 Building a Cross-Functional Team12:31 Scaling the Value Creation Team15:40 Measuring Value Creation Impact17:49 Investment Philosophy: Inch Wide, Mile Deep19:28 Partnerships with Management Teams20:03 Embedding AI in Value Creation20:24 Internal vs External AI Applications21:47 AI First Culture22:18 Effective AI Utilization24:04 Prompt Engineering and Whispering26:25 Choosing the Right AI Models26:50 AI Models: Strengths and Weaknesses27:42 Transformative Impact of AI28:21 Skills Needed in the AI Era28:26 AI's Role in Investment Firms28:55 Core Insights and Judgements29:04 The Core Skillset and Efficiency29:12 Philosophical Questions on AI and Talent Development30:18 Building Grit in the Age of AI31:12 Maintaining Discipline with AI32:08 AI as a Value Creation Lever32:35 Operational Efficiency and Copilots33:43 Emergence of Reasoning Models and Agentic Frameworks34:31 10x Efficiency in Engineering36:24 Challenges in Implementing AI37:16 AI Immersion Strategy Days39:52 Organizational Agility and AI42:15 AI's Impact on Investment Strategies43:26 AI in Mergers and Acquisitions45:29 The Importance of Proprietary Data47:12 AI Fatigue and Disillusionment48:07 Building AI Products and Agentic Products48:58 Hg's Internal AI Incubator49:59 The Next Wave of AI51:19 Voice and Multimodality in AI51:55 Globalization and Internationalization of AI53:35 Overestimating and Underestimating AI's Impact54:54 The Competitive Landscape of AI55:42 The Future of Value Creation with AI56:23 Conclusion and Final ThoughtsEditing and post-production work for this episode was provided by The Podcast Consultant.

This is an outstanding AI based discussion of my post, What's All The Fuss, Prompt Engineering Isn't New.  I've noticed the discussions seem much better when they are talking about AI.  I suppose that's natural, we love talking about ourselves  ;-)  Enjoy! Here's the link to the original post:  https://partnersinexcellenceblog.com/whats-all-the-fuss-prompt-engineeringisnt-new/ 

In this Alter Everything Episode, we sit down with Nick Schrock, CTO and founder of Dagster Labs, to discuss the essentials of AI data readiness, the challenges organizations face in context engineering, and the importance of governance in AI-driven data workflows. If you choose to tune in, you will learn how to prepare your data for AI, implement effective data pipeline strategies, and navigate organizational AI mandates. Panelists: Nick Shrock, Founder @ Dagster Labs - LinkedInMegan Bowers, Sr. Content Manager @ Alteryx - @MeganBowers, LinkedInShow notes: Dagster Labs Interested in sharing your feedback with the Alter Everything team? Take our feedback survey here!This episode was produced by Megan Bowers, Mike Cusic, and Matt Rotundo. Special thanks to Andy Uttley for the theme music.

New Episode! Tell us your feedback! Is Your Company Safe From AI Attacks?This episode covers the intersection of artificial intelligence and cybersecurity, exploring how AI can be used for both protection and malicious purposes. We examine how AI is used to create advanced ai cybercrime and deep fakes, and the rising threat of social engineering attacks. Learn how ai cybersecurity can help defend against ai hackers and other emerging threats. Feeling Kind? Consider Supporting Our Channel by subscribing! Over 84% of viewers do not subscribe to our channel! 

John Berryman (Arcturus Labs; early GitHub Copilot engineer; co-author of Relevant Search and Prompt Engineering for LLMs) has spent years figuring out what makes AI applications actually work in production. In this episode, he shares the “seven deadly sins” of LLM development — and the practical fixes that keep projects from stalling. From context management to retrieval debugging, John explains the patterns he's seen succeed, the mistakes to avoid, and why it helps to think of an LLM as an “AI intern” rather than an all-knowing oracle. We talk through: - Why chasing perfect accuracy is a dead end - How to use agents without losing control - Context engineering: fitting the right information in the window - Starting simple instead of over-orchestrating - Separating retrieval from generation in RAG - Splitting complex extractions into smaller checks - Knowing when frameworks help — and when they slow you down A practical guide to avoiding the common traps of LLM development and building systems that actually hold up in production. LINKS: Context Engineering for AI Agents, a free, upcoming lightning lesson from John and Hugo (https://maven.com/p/4485aa/context-engineering-for-ai-agents) The Hidden Simplicity of GenAI Systems, a previous lightning lesson from John and Hugo (https://maven.com/p/a8195d/the-hidden-simplicity-of-gen-ai-systems) Roaming RAG – RAG without the Vector Database, by John (https://arcturus-labs.com/blog/2024/11/21/roaming-rag--rag-without-the-vector-database/) Cut the Chit-Chat with Artifacts, by John (https://arcturus-labs.com/blog/2024/11/11/cut-the-chit-chat-with-artifacts/) Prompt Engineering for LLMs by John and Albert Ziegler (https://amzn.to/4gChsFf) Relevant Search by John and Doug Turnbull (https://amzn.to/3TXmDHk) Arcturus Labs (https://arcturus-labs.com/) Watch the podcast on YouTube (https://youtu.be/mKTQGKIUq8M) Upcoming Events on Luma (https://lu.ma/calendar/cal-8ImWFDQ3IEIxNWk)

AI Quick Take: Mastering Prompt Engineering On this episode host Adam Turinas explores the critical concept of prompt engineering. This skill is fundamental in transforming how you use AI tools like ChatGPT, Claude, and Perplexity in your professional work. Most people are using these robust AI systems like glorified search engines, but to unlock their full potential for marketing, sales enablement, and content creation, mastering prompt engineering is essential. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen/

- Simulation Theory, AI, and Robots for Survival (0:11) - Global Political Tensions and Predictions (1:33) - Economic and Social Implications of Global Conflict (6:49) - The Era of Easy Money and Affordable Goods Ending (7:55) - Preparing for a Collapsing Economy (20:50) - Using AI and Robots for Survival and Decentralization (30:50) - The Role of Drones and Ground-Based Robots (43:32) - The Future of AI and Robotics in Society (56:02) - The Importance of Financial Preparedness (1:01:21) - The Role of AI in Defining Wealth and Success (1:13:48) - Mike Adams' Background and Skills (1:23:20) - The Importance of Clear Instructions for AI (1:25:50) - AI Agents and Their Applications (1:28:42) - Prompt Engineering and AI Skills (1:33:02) - Philosophical and Ethical Considerations of AI (1:34:33) - AI and Human Depopulation Vectors (1:43:05) - The Role of AI in Government and Society (1:47:35) - The Future of Human-AI Relationships (2:00:04) - The Ethical Implications of AI Development (2:02:59) - The Potential for AI to Replace Human Labor (2:04:41) For more updates, visit: http://www.brighteon.com/channel/hrreport  NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

Unlock the future of recruiting with this episode of The Full Desk Experience. In this special FDE+, host Kortney Harmon sits down with Matt Strain — seasoned technology leader, AI educator, and founder of The Prompt. Drawing on his experience as Adobe's former Head of Innovation, Matt brings a fresh perspective on how artificial intelligence is reshaping the recruiting and staffing industry.In their conversation, Matt explores why curiosity, resilience, and a willingness to experiment are essential traits for executives and recruiters who want to stand out in the age of AI. He shares real-world examples of how AI can streamline everything from sourcing and screening to assessment and selection, while also emphasizing where human judgment and trust remain irreplaceable. Along the way, he introduces a practical framework of mindset, skill set, and tool set that leaders can use to navigate uncertainty, integrate AI confidently, and drive stronger outcomes.Whether you're dipping your toes into AI for the first time or looking to refine your strategy, this discussion offers hands-on insights you can put into practice right away. Tune in to discover how to transform AI-driven curiosity into a true competitive advantage._________________Follow Matt Strain on LinkedIn at: LinkedIn | MattFollow Crelate on LinkedIn: https://www.linkedin.com/company/crelate/Want to learn more about Crelate? Book a demo hereSubscribe to our newsletter: https://www.crelate.com/blog/full-desk-experience

ভাবুন তো আপনি যদি একটি কম্পিউটারকে এমনভাবে কথা বলতে শেখাতে পারেন যেন সে আপনার জন্য ব্লগ লিখে দেয়, ছবি আঁকে, কোড বানায়, এমনকি ব্যবসায়িক পরামর্শও দেয় তাও আবার একেবারে আপনার ইচ্ছেমতো! তাহলে ব্যাপার টা কেমন হবে? আপনার কাছে বিষয়টা অসম্ভব মনে হচ্ছে না? এই অসম্ভবকে সম্ভব করেছে AI বা কৃত্রিম বুদ্ধিমত্তা। আর এই AI-কে সঠিকভাবে কাজ করাতে যে দক্ষতা প্রয়োজন সেটাই হলো Prompt ইঞ্জিনিয়ারিং। এই বিষয় নিয়ে এই Podcast এ আলোচনা করা হয়েছে। Artificial Intelligence-এর অসীম ক্ষমতাকে কাজে লাগিয়ে ফ্রিল্যান্সিং করে খুব সহজে প্রতি মাসে ২০০০-৩০০০ ডলার ইনকাম করতে চাইলে, অথবা AI-এর সাহায্যে কন্টেন্ট ক্রিয়েট, ডিজাইন সেল এবং আরো বিভিন্ন উপায়ে Passive Income করতে চাইলে জয়েন করুন এই কোর্সে ➤ https://www.msbacademy.com/course/artificial-intelligence-masterclass

In this AI Quick Take episode, I explore the critical concept of prompt engineering. This skill is fundamental in transforming how you use AI tools like ChatGPT, Claude, and Perplexity in your professional work. Most people are using these robust AI systems like glorified search engines, but to unlock their full potential for marketing, sales enablement, and content creation, mastering prompt engineering is essential.AI systems are competent, but they need context, constraints, and clear objectives to deliver truly valuable results. In the episode, I will review the Five Layer Framework for crafting effective prompts: Define the role and contextSet specific objectivesClarify audience and use caseEstablish format and constraintsDefine success criteriaI also walk through practical examples in market research, campaign planning, and sales enablement, showing how this structured approach can save 20-30 hours of manual work while delivering superior results.Key Topics Covered:"(00:00:00) - Episode Introduction""(00:03:00) - What is Prompt Engineering?""(00:06:00) - Basic vs. Engineered Prompt Example""(00:07:00) - The Five Layer Framework""(00:11:00) - Using AI to Help Create Better Prompts""(00:12:00) - Market Research and Analysis Applications""(00:14:00) - Campaign Strategy and Planning""(00:15:00) - Sales Enablement Applications""(00:16:00) - Advanced Prompt Engineering Techniques""(00:20:00) - Common Mistakes to Avoid""(00:21:00) - Closing and Resources"For a detailed walkthrough of AI prompt engineering, ⁠check out our "How To" guide.⁠If 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 LinkedIn 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 sponsors, ⁠HIMSS⁠, a leader in advancing health equity, digital innovation, and data-driven care through technology, policy, and community collaboration. And also ⁠HealthcareNOW⁠, 24/7 expert shows, interviews, and podcasts, powering healthcare leaders with innovation, policy, and strategy insights.

For every English learner, AI can feel like both a miracle and a threat. Can it really do the work for you? The answer is more complex and exciting than you think. Our latest article is a practical guide that shows how AI is the ultimate language tutor for the core skills of reading, writing, speaking, and listening. But more importantly, it unpacks the new, crucial skill for the modern world: Prompt Engineering. Learn the techniques of being specific, providing context, and setting constraints with side-by-side examples of bad vs. good prompts. It's time to stop seeing AI as a crutch and start using it as a creative partner. https://englishpluspodcast.com/from-grammar-to-prompts-why-ai-makes-your-english-skills-more-valuable-than-ever/ To unlock full access to all our episodes, consider becoming a premium subscriber on Apple Podcasts or Patreon. And don't forget to visit englishpluspodcast.com for even more content, including articles, in-depth studies, and our brand-new audio series and courses now available in our Patreon Shop! #LearnEnglish #AIinEducation #PromptEngineering #LanguageLearning #FutureSkills

- Endorsement of Pete Chambers for Texas Governor (0:10) - Chambers' Commitment to Decentralized Medicine and Humanitarian Efforts (1:41) - Importance of Prompt Engineering in AI (4:26) - AI's Role in Software Development and Prompt Engineering Techniques (5:53) - Prediction of a Major Robotics Hoax (19:27) - Comparison of Mainstream Deodorants and Health Ranger Store Deodorant (28:54) - Health Benefits of Purple Okra and Anthocyanins (40:02) - RFK Jr's Investigation into Psychiatric Medications and School Shootings (42:53) - Texas' Role in the Future of the United States (51:09) - Nutritional Tips for Enjoying Barbecue (55:42) - Energy Consumption and Water Usage by Data Centers (1:08:35) - Impact of Data Centers on Texas' Power Grid (1:19:53) - Economic and Environmental Concerns (1:20:58) - Water and Land Use Conflicts (1:23:37) - Governor's Role and Citizen-Led Governance (1:26:36) - Border Security and Governor Abbott's Performance (1:27:34) - Health and Human Services Expenditures (1:34:46) - Education and Food Security Initiatives (1:49:40) - Challenges of Political Corruption and Centralization (1:51:09) - Vision for Texas' Future (2:08:42) For more updates, visit: http://www.brighteon.com/channel/hrreport NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

Artificial Intelligence is no longer just a buzzword — it's already finding its way into Quality Assurance (QA) and Regulatory Affairs (RA) in the medical device industry. But what does this mean for compliance professionals? Is AI a powerful tool to accelerate regulatory processes, or a risky shortcut that could jeopardize compliance? In this new episode of the Medical Device Made Easy Podcast, Monir El Azzouzi sits down with RJ Kedziora (Estenda) to explore the opportunities and risks of using AI in regulatory compliance. Together, they discuss: Why more QA/RA teams are experimenting with AI tools like ChatGPT, Gemini, Claude, and Grok How to integrate AI into different product design and regulatory phases The role of Prompt Engineering and why it matters in compliance Practical tips for creating effective AI prompts The warnings and risks you should keep in mind when relying on AI How agencies like the FDA are beginning to explore AI for dossier reviews

Today, we're joined by a familiar voice and a musically inclined CPG thought leader: Chris Perry of firstmovr. He's spent the last several months educating brands on how to prepare for a new age of product discovery and conversion paths with the dawn of AI-enabled search.  We're thrilled to have him back to share key insights and practical takeaways from his recent trainings. Tune in to find out more! KEY TAKEAWAYS In this episode, Julie, Jordan, and Chris discuss: The Changing Digital Shelf: How the digital shelf continues to evolve rapidly and the growing importance of frictionless and personalized shopping experiences driven by AI. Personal Experiences with AI Search: How tools like Rufus and ChatGPT are influencing their own shopping behaviors. Choice Paralysis and AI Solutions: Choice overload for consumers and how agentic AI tools can curate and simplify decision-making, much like a “Costco experience” for endless online assortments. Training and Transition for Brands: Chris details the challenge of bringing legacy organizations up to speed, highlighting the need to expand skillsets from basic e-commerce “math” to effectively leveraging AI “calculator” tools. Brand Case Studies and Shopper Journeys: Through real shopping scenarios (e.g., searching for whitening toothpaste for sensitive teeth), Chris explains how AI-driven search results can differ from traditional ones, urging brands to rethink content strategy and optimization. Prompting and Shopper-Centric Content: Tips for brands to analyze and adapt to AI tools' pre-filled questions and dynamic prompts, which often reveal emerging shopper concerns and influence purchase considerations. Practical Optimization Insights: Actionable steps brands can take, such as focusing on clear, shopper-centric product content and continually testing how products show up in AI-influenced search environments. Looking Ahead: The future convergence of search and AI, predicting that the lines between “search bar” and “AI assistant” will soon blur, fundamentally changing shopper expectations. Tips for Brands: Brands are encouraged to treat the digital shelf as an ongoing process, not a project, and to use practical experimentation, shopper empathy, and iterative optimization to stay ahead.   MENTIONED IN THIS EPISODE Connect with Chris Perry Learn more about firstmovr Connect with our host, Julie Spear Connect with our host, Jordan Ripley Learn more about Acadia

- Announcement of Enoch AI Engine Upgrade (0:03) - Accessing Enoch AI Engine (2:29) - Prompt Engineering and Use Cases (4:59) - Challenges and Successes in Training Enoch (9:25) - Applications and Benefits of Enoch AI Engine (12:21) - Demonstration and Comparison with Other AI Engines (18:10) - Support and Future Plans (1:06:27) - Enoch's Impact on Independent Media (1:17:07) - Conclusion and Call to Action (1:17:27) For more updates, visit: http://www.brighteon.com/channel/hrreport NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

- Discovery of Secret Room in FBI Building (0:11) - Criticism of FBI and Intelligence Agencies (1:24) - Challenges with Burn Bags and Document Destruction (2:48) - Lack of Arrests and Legal Challenges (5:26) - Summary of Document Findings (9:25) - Trump Administration's Legal Strategy (11:54) - Hopes for Mass Arrests (15:08) - Challenges with Power Grid and AI Data Centers (25:17) - Impact of Tariffs on Transformer Supply (46:48) - Future of Energy and Decentralized Solutions (1:09:21) - Introduction of Enoch AI Engine (1:15:24) - Challenges with AI Data and Personal Experiences (1:25:51) - Development and Performance of the AI Engine (1:28:19) - Decentralization and Open-Source AI (1:30:34) - Training Data and AI Capabilities (1:33:59) - Prompt Engineering and AI Applications (1:40:28) - Challenges and Future of AI Development (1:55:27) - Censorship and Regulatory Concerns (1:57:29) - Global AI Competition and Technological Advancements (2:06:23) - Economic and Political Implications of AI (2:18:04) - Geopolitical Shifts and Centralized Power (2:25:24) - Demoralization and Betrayal of American Dream (2:39:28) - Apocalypse Accelerationism and Christian Zionism (2:42:43) - Critique of Religious Institutions and Their Teachings (2:46:44) - Historical Context and Modern Implications (2:49:42) - Cults and Their Influence on Global Events (2:52:32) - The Role of Media and Education in Shaping Perceptions (2:55:27) - The Impact of Religious Supremacy on Global Conflict (3:12:55) - The Role of Individual Actions in Promoting Peace (3:19:24) - The Future of Global Peace and Understanding (3:21:06) For more updates, visit: http://www.brighteon.com/channel/hrreport NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

Is AI the Fourth Pillar of Infrastructure?Infrastructure doesn't go away — it layers. And today, AI is emerging as a new foundational layer alongside compute, storage, and networking.Erik Torenberg interviews a16z's Martin Casado, Jennifer Li, and Matt Bornstein breaking down how infrastructure is evolving in the age of AI — from models and agents to developer tools and shifting user behavior.We dive into what infra actually means today, how it differs from enterprise, and why software itself is being disrupted. Plus, we explore the rise of technical users as buyers, what makes infra companies defensible, and how past waves — from the cloud to COVID to AI — are reshaping how we build and invest. Timestamps: (00:00) Introduction (01:49) Defining Infrastructure in the AI Era(03:15) The Fourth Pillar: AI's Role in Infrastructure(06:01) Historical Context and Evolution of Infrastructure(08:20) The Impact of AI on Software Development(10:18) Investment Strategies and Market Dynamics(17:02) Developer Tools and AI Integration(20:57) Defensibility in the AI Landscape(22:16) Founders' Intuition and Industry Progress(22:26) Defensibility in AI Infrastructure(24:00) Expansion and Contraction Phases in the Industry(24:35) The Role of Layers in Market Consolidation(27:43) The Future of AI Models and Specialization(29:27) The Decade of AI Agents(29:54) Context Engineering and New Infrastructure(34:23) The Evolution of Software Development(42:13) Horizontal vs. Vertical Integration in AI(43:54) Conclusion and Final Thoughts Resources: Find Martin on X: https://x.com/martin_casadoFind Jennifer on X: https://x.com/JenniferHliFind Matt on X: https://x.com/BornsteinMatt Stay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

Kieran Flanagan is the CMO at HubSpot, where he's led the transformation of their growth strategy from SEO-led to multi-channel and AI-powered. Formerly SVP of Marketing, he helped scale HubSpot's user base to millions and revenue past $2B. Before HubSpot, he drove breakout growth at Marketo and Salesforce. Kieran is one of the most respected voices in SaaS marketing and a pioneer in growth-driven content strategy. Agenda: 00:03 – The Death of Growth Teams? Kieran's Wild Prediction 06:44 – AI Innovation Pods: The New Org Structure for Startups 10:18 – Email Personalization That Tripled Conversions 13:21 – From Software Budget to Labor Budget: The Shift is Happening 16:35 – The Big Lie: Why Autonomous Agents Still Suck 19:24 – The Secret Sauce Behind HubSpot's Email AI Stack 21:44 – Segment-Based Marketing Is Dead. Enter Micro Audiences. 24:15 – Content Collapse: Why Google Organic Is Getting Torched 30:52 – The Future of AI SEO: 1 Product, 100 Pages, Infinite Prompts 33:16 – Memory = Moat: Why ChatGPT Is Becoming Unbeatable 35:46 – Prompt Engineering is the New Coding: Here's How to Win 41:03 – The Death of the Middle Manager Marketer 46:17 – OpenAI vs. Anthropic: Kieran's $400M Bet 48:00 – Europe Is Falling Behind: The Harsh Truth on Regulation 52:39 – CMO Playbook 2025: Micro-Audiences, Creator-Led, AI at Scale