All In On Data Podcast

All In On Data

Unbiased, unstructured, and unfiltered - just like data.

Join the data experts from All In On Data, Peter Memon and David Gleason every Thursday as they unpack the week’s biggest headlines in artificial intelligence, explore transformative data trends, and answer real-world questions from business leaders and curious minds alike.

With over 60 years of combined experience in data strategy, architecture, analytics, and engineering, Peter and David bring deep expertise and ethics with zero fluff. Whether you're building a company, leading a team, or simply trying to keep pace with AI's innovation, All In On Data Pod provides you with the tools to understand and apply the latest advancements in AI and Tech quickly.

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20 episodes
Updated March 6

Episodes20

Newest first

March 6 · 1 hr 5 min
Will AI Replace SaaS Companies? A Look at the Future of Software | With Peter Memon & David Gleason
Artificial intelligence is rapidly changing how software is built, customized, and deployed. In this episode of All in on Data Pod, hosts Peter Memon and David Gleason explore the growing debate around the so-called “SaaS-pocalypse”—the theory that AI coding tools could replace software-as-a-service platforms. The conversation breaks down the fundamentals of SaaS (software as a service), why it became the dominant software model, and what new AI development tools mean for the future of enterprise software. With generative AI accelerating coding productivity, some companies are experimenting with building their own internal tools instead of paying for SaaS subscriptions. But does that mean the end of SaaS? Peter and David explain why AI-generated software is powerful but still requires deep domain knowledge, security expertise, and operational infrastructure. They also discuss which types of SaaS tools may be most vulnerable to replacement, how AI is changing the economics of software development, and what SaaS companies must do to stay competitive in an AI-driven world. If you're interested in AI software development, SaaS platforms, enterprise technology strategy, or the future of software engineering, this episode provides a thoughtful and balanced perspective. Chapters: 00:00:00 Introduction and recent AI news 00:04:30 What “SaaS-pocalypse” actually means 00:09:15 What software-as-a-service is and why it became dominant 00:15:40 The pros and cons of SaaS platforms 00:21:30 How AI code generation is changing software development 00:30:20 Can companies replace SaaS with AI-built software? 00:39:10 The hidden costs of building your own applications 00:48:45 Which SaaS tools are most vulnerable to AI replacement 00:57:30 AI layoffs and the risk of losing institutional knowledge 01:05:30 The future of SaaS in an AI-driven world About All In on Data: We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI. Follow Us for More Content: David Gleason's LinkedIn: https://linkedin.com/in/david-r-gleason Peter Memon's LinkedIn: https://linkedin.com/in/petermemon AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data Spotify: http://bit.ly/44BhxGs Apple Podcast: http://bit.ly/3GHBe6i
February 26 · 1 hr 17 min
Why Gen AI Feels So Threatening to Workers | Episode 51 of the All In On Data Podcast.
Why does generative AI feel so threatening to workers? In Episode 51 of All in on Data Pod, hosts Peter Memon and David Gleason break down a recent Harvard Business Review article titled Why Gen AI Feels So Threatening to Workers and explore the deeper psychological and organizational forces behind AI fear. They examine the three core psychological needs affected by AI adoption — competence, autonomy, and relatedness — and explain why employees are feeling overwhelmed as AI transforms both white-collar and technical roles. But the problem isn’t just the technology. This episode dives into AI leadership failures, poor communication, misaligned incentives, culture breakdowns, and the dangerous knowledge gap forming between AI-native junior employees and experienced domain experts. Peter and David argue that successful AI transformation requires education, transparency, business-led process redesign, and thoughtful incentive alignment — not just tool deployment. They also discuss real-world AI failures, including AI agents deleting production code and inbox data, highlighting the risks of uncontrolled experimentation. If you’re a business leader, technologist, or employee navigating AI-driven change, this episode offers practical insight into AI adoption strategy, workforce psychology, and organizational transformation.
February 19 · 1 hr 12 min
50 Episodes In: Can Humans Keep Up with AI? with Hosts Peter Memon and David Gleason.
In Episode 50 of All in on Data Pod, David Gleason and Peter Memon tackle one of the most overlooked challenges in artificial intelligence: how workers develop judgment in the AI era. As AI automates repetitive tasks, companies may unintentionally eliminate the very experiences that build critical thinking, leadership skills, and decision-making capability. The hosts explore the limitations of human-in-the-loop AI oversight, the long-term risks to talent pipelines, and why education must refocus on systems thinking, logic, history, science, and creativity. They also discuss quantum computing predictions and the growing threat of deepfakes eroding public trust. If you're interested in AI workforce strategy, AI governance, critical thinking skills, or the future of leadership in an AI-driven economy, this episode delivers deep insight. Chapters: 00:00:00 Episode 50 Milestone & Reflection 00:05:06 Introducing Judgment in the AI Era 00:07:20 The AI Paradox: Automation vs Judgment 00:09:31 Human-in-the-Loop Failure Modes 00:12:41 Why Grunt Work Builds Real Expertise 00:21:26 The Leadership Pipeline Risk 00:23:52 Creation vs Evaluation: How Thinking Changes 00:35:35 What It Actually Means to “Think” 00:39:24 Designing a Curriculum for Critical Thinking 00:55:15 Lightning Round: Quantum Computing & Deepfakes About All In on Data: We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI. Follow Us for More Content: David Gleason's LinkedIn: https://linkedin.com/in/david-r-gleason Peter Memon's LinkedIn: https://linkedin.com/in/petermemon AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data Spotify: http://bit.ly/44BhxGs Apple Podcast: http://bit.ly/3GHBe6i
February 12 · 1 hr 14 min
OpenClaw, Claude, and the Future of AI Automation: With Peter Memon and David Gleason.
Artificial intelligence just took a major leap forward with OpenClaw, the open-source AI orchestration layer that connects large language models like Claude, GPT, and Gemini directly to your computer. In this episode of All In On Data Pod, hosts David Gleason and Peter Memon break down what OpenClaw (formerly ClaudeBot and MoltBot) actually is, why it exploded in popularity, and what it reveals about the future of agentic AI. Unlike traditional chat interfaces, OpenClaw enables AI agents to act autonomously, initiate conversations, access local files, integrate with messaging apps, and execute multi-step workflows. Some users are building applications from their phones. Others are experimenting with AI-driven trading. But with this power comes real risk. David and Peter explore token cost blowups, API security vulnerabilities, liability concerns, corporate governance risks, and the emerging phenomenon of AI agents interacting with each other on platforms like Moltbook. Is this the next big shift in AI interfaces? Or a Pandora’s box of security and legal exposure? If you’re interested in AI agents, AI automation, Claude Code, AI infrastructure, or the future of AI in enterprise, this episode offers both excitement and caution in equal measure. Subscribe to All In On Data Pod for deep, practical discussions about AI, data, and emerging technology. Chapters 00:00:24 Rebrand: All In On Data Podcast Returns 00:02:49 OpenClaw and the Agent Explosion 00:05:25 ClaudeBot → MoltBot → OpenClaw Naming Story 00:09:40 “The AI That Actually Does Stuff” 00:11:12 Messaging Apps as the New Interface 00:15:20 Why OpenClaw Is Spreading So Fast 00:21:22 Trust, Privacy, and Blind Faith in AI 00:26:01 How OpenClaw Works Under the Hood 00:43:28 Moltbook: AI Agents Talking to Each Other 00:49:19 The Real Risks: Cost, Security, Liability 01:10:20 Preview: Human Judgment in the Age of AI
February 5 · 1 hr 24 min
How AI Is Quietly Transforming Private Equity Decision-Making With Ercan Ucak
Artificial intelligence is changing how private equity firms source deals, conduct diligence, and make investment decisions. In this episode of All in on Data Pod, we break down the fundamentals of private equity before exploring how AI and modern data infrastructure are being used to filter opportunities, reduce noise, and help investors focus on the deals that truly fit their strategy. Rather than replacing human judgment, AI acts as a force multiplier, allowing investment teams to move faster, analyze more information, and compete more effectively. This conversation covers private equity basics, real-world AI use cases, the limitations of automation, and what firms need to get right when implementing data-driven workflows. If you’re interested in private equity 101, AI in investing, or the future of data-driven decision-making in finance, this episode offers a grounded and practical perspective. 01:00:00 – Is AI the Problem or the Solution? 01:02:11 – Private Equity 101 01:15:23 – How Investors Actually Use AI Today 01:19:45 – Filtering Deals Before Humans Get Involved 01:24:30 – The Cost of Bad Data in Finance 01:29:10 – Automating the First Pass of Diligence 01:34:40 – Organizational Resistance to AI 01:40:00 – Scaling Insight Without Scaling Headcount 01:44:15 – Where Humans Still Matter Most 01:47:30 – The Future of Data-Driven Private Equity
February 2 · 33 min
Call Me Data Best Of: Insights on AI, Data, and Decision-Making.
This best-of episode of All in on Data Pod brings together the most impactful conversations on data, artificial intelligence, and decision-making. From cutting through noise to understanding where AI truly adds value, the episode highlights practical lessons for leaders, operators, and anyone working with data. Rather than focusing on hype, these clips emphasize judgment, strategy, and mindset. You’ll hear why more data doesn’t always mean better decisions, how AI fits into modern workflows, and what organizations need to get right to actually benefit from analytics and automation. If you’re interested in AI insights, data-driven decision-making, or building smarter systems with data, this episode offers a concise and thoughtful overview. All in on Data Pod features conversations with data practitioners, technologists, and thinkers working across analytics, AI, and business strategy. The speakers bring hands-on experience building data systems and translating complex technical ideas into practical insights that help organizations make better decisions. 00:00:00 – Why Data Alone Isn’t Enough 00:02:30 – Signal vs Noise in Analytics 00:05:45 – The Dashboard Trap 00:09:50 – Where AI Actually Helps 00:13:40 – Better Questions, Better Outcomes 00:17:30 – The Risks of Blind Automation 00:21:45 – When Metrics Lie 00:25:30 – Building a Real Data Culture 00:30:10 – Turning Insight into Action 00:34:00 – The Core Lesson from Every Episode
January 22 · 49 min
Why Play Might Be the Secret to AI Mastery
In this episode, David and Peter dive deep into the unexpected link between play and successful AI adoption. From reminiscing about shell terminals and giant monitors to exploring how imagination and experimentation drive innovation, this conversation blends technical insight with strategic reflection. They also explore the importance of safe experimentation, structured risk-taking, and why traditional IT mindsets may be holding organizations back from fully leveraging AI. If you're crafting an AI rollout or just trying to make sense of your company's data future, this one’s for you. 0:00 – Serious Learning, Hawaiian Shirts & 60 Episodes In 5:11 – Terminal Troubles, Developer Nostalgia, and Monster Monitors 10:04 – Annotating with AI: Using Claude for Smart Budgeting 14:41 – The Rise of User-Friendly AI Interfaces 19:39 – Why Imagination is the Underrated AI Skill 24:29 – POCs, Uncertainty & the Statistical Heart of AI 29:40 – Structured Play vs Structured Work: What's Missing in Adults 34:53 – AI Controls: Tech, Policy & Playing Safe 39:28 – Guardrails = Speed: Rethinking Risk & Control 44:30 – Why AI Can’t Live in IT Alone: Domain-Driven Innovation Learn More: Visit our website for insights, services, and case studies: https://www.allinondata.com Want to talk AI strategy with us? Book a free consultation → https://allinondata.com/contact For All Business Inquiries → pietro@allinondata.com About All In on Data: We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI. Follow Us for More Content: David Gleason's LinkedIn: https://linkedin.com/in/david-r-gleason Peter Memon's LinkedIn: https://linkedin.com/in/petermemon AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data Spotify: http://bit.ly/44BhxGs Apple Podcast: http://bit.ly/3GHBe6i #AIstrategy #GenerativeAI #DataTransformation #EnterpriseAI #ClaudeAI #ResponsibleAI #BusinessInnovation #AIimplementation #TechPodcast #AllInOnDataPod
January 19 · 58 min
Is AI Fueling the Social Media Crisis
AI is reshaping everything from our jobs to our minds. It is happening faster than most people realize. In this episode of All In On Data, David and Peter talk with innovation expert James Barrood about how artificial intelligence is disrupting industries, changing how we learn, and affecting our ability to think critically. They cover deepfakes, AI companions, education failures, and the rise of one-person startups built entirely on AI tools like ChatGPT and Notebook LM. This is a wide-ranging, eye-opening conversation for founders, educators, and anyone navigating the next wave of digital transformation. We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale. Learn More: Visit our website for insights, services, and case studies: https://www.allinondata.com Want to talk AI strategy with us? Book a free consultation → https://allinondata.com/contact For All Business Inquiries → pietro@allinondata.com
January 8 · 45 min
Why You Can’t Fake Real AI Change!
Most companies are still stuck in the AI hype cycle, but BarnDoor.AI CEO Oren Michels explains what it actually takes to build trust, scale agentic AI, and deliver real business value. In this episode, David and Peter dig into why 95 percent of AI projects fail, how treating AI like an intern can unlock adoption, and why the future of AI won’t live in a sidebar or a chat window. If you're serious about turning AI into action, this is the conversation to hear. We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale. Introduction to AI in Enterprises - 0:00 The Evolution from APIs to AI - 3:13 Agentic AI and Business Transformation - 9:47 Cultural Shifts for AI Adoption - 15:07 AI's Role in Creativity and Theater - 21:15 Trust and Governance in AI - 27:34 Complexity and Management of AI Agents - 33:10 The Future of AI in Enterprises - 39:47 Learn More: Visit our website for insights, services, and case studies: https://www.allinondata.com Want to talk AI strategy with us? Book a free consultation → https://allinondata.com/contact For All Business Inquiries → pietro@allinondata.com About All In on Data: We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI. Follow Us for More Content: David Gleason's LinkedIn: https://linkedin.com/in/david-r-gleason Peter Memon's LinkedIn: https://linkedin.com/in/petermemon AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data Spotify: http://bit.ly/44BhxGs Apple Podcast: http://bit.ly/3GHBe6i #business #ai #podcast #DavidGleason #PeterMemon
January 1 · 41 min
Here's What AI's 2025 Actually Looked Like!
AI went mainstream in 2025, and not always for the right reasons. In this New Year’s special, David Gleason and Peter Memon look back at the breakthroughs, blunders, and buzzwords that defined the year in tech. From the rise of “workslop” and overhyped AI agents to energy grid strain and questionable layoff excuses, the hosts offer sharp insights and bold predictions for 2026. If you're trying to understand where AI is headed next, this episode is your starting line. We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale. Learn More: Visit our website for insights, services, and case studies: https://www.allinondata.com Want to talk AI strategy with us? Book a free consultation → https://allinondata.com/contact For All Business Inquiries → pietro@allinondata.com About All In on Data: We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI. Follow Us for More Content: David Gleason's LinkedIn: https://linkedin.com/in/david-r-gleason Peter Memon's LinkedIn: https://linkedin.com/in/petermemon AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data Spotify: http://bit.ly/44BhxGs Apple Podcast: http://bit.ly/3GHBe6i #ai #review #aitools
Dec 25, 2025 · 28 min
How AI Can Help You Survive the Holidays!
What happens when two data pros give AI the reins to Christmas? In this special holiday episode of Call Me Data, David and Peter go completely off-script, letting AI tools like Gemini and Suno AI take over their festive planning. From hilarious AI-generated gift ideas to crafting absurdly catchy custom Christmas songs, they explore how generative AI can bring creativity and chaos to your holidays. But it’s not all holiday cheer. Get practical tips for surviving awkward family dinners, crafting the perfect thank-you for terrible gifts, and avoiding AI fails that could ruin Christmas. This episode is your AI-powered survival guide for the season. We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale. Learn More: Visit our website for insights, services, and case studies: https://www.allinondata.com Want to talk AI strategy with us? Book a free consultation → https://allinondata.com/contact For All Business Inquiries → pietro@allinondata.com About All In on Data: We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI. Follow Us for More Content: David Gleason's LinkedIn: https://linkedin.com/in/david-r-gleason Peter Memon's LinkedIn: https://linkedin.com/in/petermemon AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data Spotify: http://bit.ly/44BhxGs Apple Podcast: http://bit.ly/3GHBe6i #suno #holidays #family
Dec 19, 2025 · 1 hr 7 min
Will AI Help Aid Medical Professionals?
AI is transforming medicine — but are doctors ready for it? In this episode, Dr. Kavin Mistry a leading neuroradiologist and author of Primal Health Design, joins Peter and David to unpack how AI is reshaping healthcare from the inside out. From interpreting brain scans and testing FDA-approved tools to confronting a rising crisis in physician burnout, this is a rare conversation about medicine’s AI future — with empathy and nuance. Learn why Kavin believes radiologists using AI will replace those who don’t, and how we can design a future where human intelligence and artificial intelligence thrive together. 00:00 – What AI Still Gets Wrong in Healthcare 02:50 – Introducing Dr. Kavin Mistry 05:10 – What Is Primal Health Design? 08:20 – From Africa to AI: Kavin’s Story 11:40 – How the Brain Interacts with Data 14:30 – The 7 Primal Connections Explained 18:00 – What Hospitals Get Wrong About AI 21:15 – FDA-Approved AI Tools in Radiology 25:00 – Claude, GPT-4, and Clinical Workflow 28:20 – Radiologist Trust and AI Accuracy 32:10 – False Positives, Missed Diagnoses & AI 35:45 – How AI Is Being Used Right Now in Imaging 39:30 – Radiologists Who Don’t Use AI? Dangerous 42:00 – Medical Training in the Age of AI 45:10 – Mastery, Residents, and Future Doctors 48:15 – Why Patients Still Want Human Doctors 51:00 – Burnout, Overwork, and System Design 54:30 – Fixing Data Fixes Doctor Burnout 58:40 – Gamma AI Tool Saves Time in Workflow 01:02:00 – What Is Primal Intelligence? 01:05:00 – Final Thoughts: AI That Keeps Us Human We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale. Learn More: Visit our website for insights, services, and case studies: https://www.allinondata.com Want to talk AI strategy with us? Book a free consultation → https://allinondata.com/contact For All Business Inquiries → pietro@allinondata.com About All In on Data: We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI. Follow Us for More Content: David Gleason's LinkedIn: https://linkedin.com/in/david-r-gleason Peter Memon's LinkedIn: https://linkedin.com/in/petermemon AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data Spotify: http://bit.ly/44BhxGs Apple Podcast: http://bit.ly/3GHBe6i #medicine #ai #hospital
Dec 11, 2025 · 54 min
Answering The Hottest Questions About AI!
Are we already in the AI bubble—or just getting started? In this fast-paced AI Roulette episode, David and Peter dive deep into the future of generative AI, AI code tools, agent hype, and whether data scientists are becoming obsolete. You'll hear hot takes on the state of enterprise AI, infrastructure investments, and the real skills needed in an AI-powered world. Plus, how GenAI is reshaping hiring, engineering, and leadership across industries. 00:00 – Why 2025 Needs Better AI 04:30 – The True Cost of Huge Context Windows 09:05 – Agents Are Overhyped: Here's Why 14:00 – What Agentic AI Should Look Like 20:30 – Misconceptions About AI Performance 26:00 – Why Your Company Still Doesn’t Get AI 33:45 – The Problem with “Magic” AI Thinking 38:55 – The Future of Work Isn’t What You Think 45:15 – Building with AI Responsibly 51:20 – Predictions for 2026 and Beyond We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale. Learn More: Visit our website for insights, services, and case studies: https://www.allinondata.com Want to talk AI strategy with us? Book a free consultation → https://allinondata.com/contact For All Business Inquiries → pietro@allinondata.com About All In on Data: We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI. Follow Us for More Content: David Gleason's LinkedIn: https://linkedin.com/in/david-r-gleason Peter Memon's LinkedIn: https://linkedin.com/in/petermemon AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data Spotify: http://bit.ly/44BhxGs Apple Podcast: http://bit.ly/3GHBe6i #podcast #qna #artificialintelligence
Dec 4, 2025 · 1 hr
Exploring AI's Lasting Legacy On Education!
Is education ready for the AI revolution? Dr. Aviva Legatt joins Peter and David to explore how generative AI is transforming the classroom, rewriting hiring pipelines, and reshaping what skills students really need. From microcredentials and AI fluency to smartphone bans and digital twins of professors, this episode breaks down the new playbook for schools and parents navigating a tech-driven future. Discover the tools, trends, and tensions defining the next generation of learning. 00:00 - Introduction to AI in Education 02:48 - Aviva's Journey and AI Adoption 03:18 - The Future of Education and AI Fluency 09:03 - AI Talent and Global Education Trends 11:58 - AI Literacy vs. AI Fluency 14:55 - Practical Applications of AI in Daily Life 15:19 - Integrating AI in Education: Faculty Perspectives 22:29 - Student Engagement with AI: A Shift in Attitudes 33:12 - Navigating AI Tools: Parental Guidance and Recommendations 37:00 - Navigating Parenting in the Digital Age 39:19 - The Future of Education: AI's Role 42:53 - Hyper-Personalization in Learning 46:59 - Human vs. AI Feedback in Education 51:43 - Future-Proofing Careers in an AI World We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale. Learn More: Visit our website for insights, services, and case studies: https://www.allinondata.com Want to talk AI strategy with us? Book a free consultation → https://allinondata.com/contact For All Business Inquiries → pietro@allinondata.com About All In on Data: We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI. Follow Us for More Content: David Gleason's LinkedIn: https://linkedin.com/in/david-r-gleason Peter Memon's LinkedIn: https://linkedin.com/in/petermemon AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data Spotify: http://bit.ly/44BhxGs Apple Podcast: http://bit.ly/3GHBe6i #education #teacher #college
Nov 20, 2025 · 1 hr 4 min
AI Helped Us Write A Book!
Would you fire someone for not using AI? In this episode, David and Peter break down the controversial trend of tying job security to AI tool adoption and the deeper cultural and leadership failures it reveals. From Accenture’s 700,000-person AI mandate to self-assessments fed into ChatGPT, this conversation exposes the dangers of using AI as a smokescreen for layoffs. They also walk through how they’re co-writing a book using Anthropic’s Claude, sharing tools, prompts, and the interview-style workflows that make it possible to scale creativity without losing your voice. If you care about digital transformation, workplace culture, or building with AI responsibly, this is a must-watch. 00:00 – Welcome: Cold Open and Claude in the Mix 02:10 – “Use AI or You’re Fired”: Leadership Gone Wrong 05:40 – Accenture’s 700K AI Mandate: Progress or Pressure? 09:10 – How Companies Weaponize AI Buzzwords 13:20 – Why Most AI Training Doesn’t Work 17:30 – Culture Shock: Tech vs Traditional Managers 21:00 – Self-Assessments in ChatGPT? Seriously. 25:40 – AI as a Layoff Excuse: The Slippery Slope 30:00 – Losing Institutional Knowledge to Tech Hype 33:45 – What Good AI Enablement Actually Looks Like 38:00 – “The Tool is Still a Fool” Explained 41:20 – Writing a Book With Claude: Our Process 45:10 – Project-Based Prompting: How to Co-Create with AI 49:30 – Claude vs GPT-4: Writing Strengths Compared 53:30 – Maintaining Voice While Scaling Content 57:00 – AI Interview Prompting in Action 01:01:00 – Final Thoughts: Use AI, Don’t Abuse AI We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale. Learn More: Visit our website for insights, services, and case studies: https://www.allinondata.com Want to talk AI strategy with us? Book a free consultation → https://allinondata.com/contact For All Business Inquiries → pietro@allinondata.com About All In on Data: We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI. Follow Us for More Content: David Gleason's LinkedIn: https://linkedin.com/in/david-r-gleason Peter Memon's LinkedIn: https://linkedin.com/in/petermemon AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data Spotify: http://bit.ly/44BhxGs Apple Podcast: http://bit.ly/3GHBe6i
Nov 13, 2025 · 52 min
The AI Tools Mid-Market's Loves!
AI Is Reshaping Data Strategy, But Most Companies Are Still Stuck in Excel. In this episode of All In On Data, Erik Wildt of TeloChain joins David and Peter to break down the messy reality of AI adoption inside mid-market companies. They explore how tools like Claude, n8n, and Snowflake are unlocking enterprise-grade automation for lean teams, and why most orgs aren’t ready to take advantage of it. You’ll hear firsthand stories from the field, advice for data leaders, and a sharp critique of calcified IT culture in big enterprises. If you’ve ever struggled with scaling analytics, aligning with business goals, or just escaping spreadsheet hell, this one's for you. 00:00 – Welcome: Erik Wilt Joins the Pod 02:45 – OpenAI’s Atlas Browser: Is Privacy Dead? 06:30 – GenAI in Entertainment: What SAG-AFTRA Got Right 10:00 – The Wild West of AI-Powered Film Production 13:40 – Erik’s Background: From Data Chaos to TeloChain 17:10 – Mid-Market Struggles with Data Infrastructure 21:30 – Why Excel Still Runs Everything (And Why That’s a Problem) 26:30 – Finance Teams as Unofficial Data Architects 30:00 – Culture Wars: IT vs End Users 34:00 – Shadow IT and End-User Innovation 38:10 – How Erik Uses Snowflake, Claude, and n8n to Automate 42:15 – Why Most AI Projects Fail (And What to Do Instead) 46:30 – Claude vs ChatGPT: Which Is More Reliable? 49:30 – AI for the Trades: Blueprints, Electricians, and Real Impact 53:00 – Final Thoughts: Future-Proofing Your Data Stack We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale. Learn More: Visit our website for insights, services, and case studies: https://www.allinondata.com Want to talk AI strategy with us? Book a free consultation → https://allinondata.com/contact For All Business Inquiries → pietro@allinondata.com About All In on Data: We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI. Follow Us for More Content: David Gleason's LinkedIn: https://linkedin.com/in/david-r-gleason Peter Memon's LinkedIn: https://linkedin.com/in/petermemon AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data Spotify: http://bit.ly/44BhxGs Apple Podcast: http://bit.ly/3GHBe6i #artificialintelligence #podcast #business
Nov 6, 2025 · 53 min
AI Is More Than Chatbots!
Think ChatGPT is the whole story? Think again. In this episode of Call Me Data, Peter and David break down why AI’s impact goes far beyond generative tools, and what that means for businesses, teachers, and students alike. They dive deep into NotebookLM, Elicit.AI, and Guided Learning from Google, revealing how embedded AI is quietly transforming industries. With candid takes, real-world examples, and tactical advice for leaders, this is the guide every decision-maker needs to understand the AI revolution before it’s too late. We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale. Learn More: Visit our website for insights, services, and case studies: https://www.allinondata.com Want to talk AI strategy with us? Book a free consultation → https://allinondata.com/contact For All Business Inquiries → pietro@allinondata.com About All In on Data: We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI. Follow Us for More Content: David Gleason's LinkedIn: https://linkedin.com/in/david-r-gleason Peter Memon's LinkedIn: https://linkedin.com/in/petermemon AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data Spotify: http://bit.ly/44BhxGs Apple Podcast: http://bit.ly/3GHBe6i #education #artificialintelligence #podcast
Oct 30, 2025 · 1 hr 7 min
What Happens When AI Gets Regulated?
What happens when your cloud provider fails — and your AI stack goes with it? In this episode, David and Peter dive into the implications of the recent AWS outage that temporarily brought down Perplexity and other AI-first platforms. They explore what dependency on a single cloud provider means for AI reliability, the rise of hybrid cloud strategies, and the future of on-prem inferencing hardware from Cerebras, Groq, and AMD. From regulatory fears surrounding the No FAKES Act to OpenAI's pivot into retail and Walmart partnerships, this episode hits hard on AI’s fragile infrastructure, business risk, and ethical fault lines. Whether you’re a CTO, investor, or just curious how AI affects your daily tech — this one’s a must-watch. 00:00 – AWS Outage & AI Infrastructure Risks 02:00 – Why GenAI Needs Cloud, Not On-Prem 04:15 – Cloud Redundancy and Multi-Region Strategy 06:00 – Specialized Inferencing Chips: Groq, Cerebras & AMD 09:00 – Teaser: Upcoming Podcast Guests from MedTech & EdTech 11:00 – Bipartisan AI Regulation & the No FAKES Act 14:00 – Why Lawmakers Struggle with Regulating AI 16:45 – Global AI Race: China’s Edge in Robotics and EVs 20:00 – Sam Altman, OpenAI, and Responsible AI (or Lack Thereof) 28:00 – Walmart x OpenAI: Is AI Becoming a Shopping Mall? 32:00 – Loss of Trust in AI Objectivity with E-Commerce Integration 39:00 – Public AI Models: Can They Compete? 42:00 – Why AI Rollouts Are Failing Inside Enterprises 47:00 – Prompt Engineers vs. Organizational Change 50:00 – The Real Value of AI Lies in Embedded APIs 56:00 – Nostalgia: From TensorFlow to Typewriters 1:03:00 – The Human Touch: Why Physical Creativity Still Matters We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale. Learn More: Visit our website for insights, services, and case studies: https://www.allinondata.com Want to talk AI strategy with us? Book a free consultation → https://allinondata.com/contact For All Business Inquiries → pietro@allinondata.com About All In on Data: We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI. Follow Us for More Content: David Gleason's LinkedIn: https://linkedin.com/in/david-r-gleason Peter Memon's LinkedIn: https://linkedin.com/in/petermemon AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data Spotify: http://bit.ly/44BhxGs Apple Podcast: http://bit.ly/3GHBe6i #aws #business #artificialintelligence
Oct 23, 2025 · 52 min
Is This The Death Of RAG?
Will AI replace actors, and is RAG already obsolete? In this episode of Call Me Data, David and Peter delve into the rise of Tilly, the AI-generated actress stirring up Hollywood, and Google's powerful new Gemini URL Context Tool. They debate the future of Retrieval-Augmented Generation (RAG), explore how large context windows change everything, and expose the real cost and trade-offs behind fine-tuning vs RAG-based systems. If you're building with LLMs, this episode is a must-watch. 00:00 Introduction to AI and Tilly 09:23 Exploring Google's Gemini Tool 19:13 Understanding Retrieval-Augmented Generation (RAG) 26:19 The Limitations of RAG 29:14 Understanding Context Windows 34:08 Challenges of Chunking and Similarity Matching 37:35 The Role of Context in Reducing Hallucinations 43:20 RAG vs. Fine-Tuning: Weighing the Options 49:32 The Importance of Strategic Decision-Making We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale. Learn More: Visit our website for insights, services, and case studies: https://www.allinondata.com Want to talk AI strategy with us? Book a free consultation → https://allinondata.com/contact For All Business Inquiries → pietro@allinondata.com About All In on Data: We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI. Follow Us for More Content: David Gleason's LinkedIn: https://linkedin.com/in/david-r-gleason Peter Memon's LinkedIn: https://linkedin.com/in/petermemon AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data Spotify: http://bit.ly/44BhxGs Apple Podcast: http://bit.ly/3GHBe6i #hollywood #movies #artificialintelligence
Oct 16, 2025 · 1 hr 6 min
Is "AI Work Slop" Just Hogwash??
Is “Work Slop” quietly killing productivity in your company? In this episode, David and Peter break down how poorly applied AI tools—especially generative ones—are flooding workplaces with low-quality output and wasted effort. They explore why this is more of a leadership problem than a tech issue, and share frameworks like “Pilot vs Passenger” to help teams use AI effectively. 00:00 The Impact of AI on Productivity 05:52 The Role of Human Behavior in AI Utilization 11:48 Cognitive Offloading and Its Consequences 17:50 The Misconception of AI ROI 23:34 Strategies for Effective AI Integration 29:19 Embedding AI for Real Productivity Gains 34:45 Challenges in Leveraging AI Effectively 41:24 Using AI as a Quality Assurance Tool 49:16 Grounding AI Responses with Real Content 55:29 The Human Element in AI Utilization 01:00:32 The Future of AI in Organizations We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale. Learn More: Visit our website for insights, services, and case studies: https://www.allinondata.com Want to talk AI strategy with us? Book a free consultation → https://allinondata.com/contact For All Business Inquiries → pietro@allinondata.com About All In on Data: We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI. Follow Us for More Content: David Gleason's LinkedIn: https://linkedin.com/in/david-r-gleason Peter Memon's LinkedIn: https://linkedin.com/in/petermemon AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data Spotify: http://bit.ly/44BhxGs Apple Podcast: http://bit.ly/3GHBe6i #business #productivity #tools