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

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

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)

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

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

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

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

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