エピソード

  • AI Helped Us Write A Book!
    2025/11/20

    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

    #Hashtags
    (Insert 3 relevant hashtags)

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    1 時間 5 分
  • The AI Tools Mid-Market's Loves!
    2025/11/13

    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

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    52 分
  • AI Is More Than Chatbots!
    2025/11/06

    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

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    54 分
  • What Happens When AI Gets Regulated?
    2025/10/30

    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

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    1 時間 7 分
  • Is This The Death Of RAG?
    2025/10/23

    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

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    53 分
  • Is "AI Work Slop" Just Hogwash??
    2025/10/16

    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

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    1 時間 6 分
  • THIS Could Change Everything For AI!
    2025/10/09

    Is your team ready for AI, or are you missing the most important skill of all?
    In this deep-dive episode of All In On Data, David and Peter unpack the surprising truth: soft skills like critical thinking, ethical judgment, and skepticism may matter more than technical skills in an AI-driven workplace. Fresh off their panel at Philly AI Connect, the duo explores California’s new AI regulation (SB-53), the evolving role of agents, and the massive gap in education systems preparing people to work alongside AI. Whether you're leading enterprise transformation or just trying to keep up, this episode offers eye-opening insights into the future of work and learning in the era of generative AI.

    00:00 – Recovering from Philly AI Connect
    03:35 – California's SB-53 AI Law: What It Means
    08:50 – The Danger of Over-Regulating AI Innovation
    14:40 – Can Companies Still Be "Based" Anywhere?
    18:25 – Education’s Role in AI Deployment
    22:00 – Entering the Era of Agentic Computing
    25:30 – The Critical Thinking Crisis in Education
    30:20 – Prompt Engineering Requires Human Skills
    35:00 – Teaching Judgment: Can It Be Done?
    41:50 – AI vs. Human Ethics: Who Decides?
    48:15 – Are Soft Skills the Future of AI Readiness?
    52:40 – What Should Companies Actually Be Teaching?
    57:10 – Final Thoughts: Human Skills Over Tech Skills

    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 #law #technology

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    58 分
  • Is Al Killing Critical Thinking?
    2025/10/02

    Is AI making us smarter—or shutting down human creativity? In this episode of Call Me Data, David Gleason and Peter Memon unpack a Wall Street Journal article asking whether AI could choke off the supply of knowledge. They explore model collapse, the loss of critical thinking, and whether reliance on LLMs makes us lazy or accelerates discovery. From Columbus to Renaissance chatbots, they challenge what AI means for research, education, and the future of learning. Subscribe and share your thoughts on whether AI is helping or harming original thought.

    00:00 Introduction and Aloha Shirt Banter
    05:40 AI's Influence on Critical Thinking
    11:31 The Dual Nature of Technology
    17:33 The Dangers of Information Bubbles
    23:07 Fringe Ideas and AI Models
    29:24 The Ouroboros of AI
    38:24 Incentives for Novel Work
    44:08 The Importance of Measuring Thinking
    50:50 Embracing Mystery in Learning
    56:07 The Joy of Problem Solving

    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 #aivshumans #aiethics

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    1 時間 2 分