Data Faces Podcast

Generative AI isn't just hype—it's already creating real value in business. In this episode of TinyTechGuides Talks, I sit down with Yves Mulkers, my co-author of "Generative AI Business Applications," to talk about how AI is making a real difference in practical, down-to-earth ways.

We started out wanting to write a simple report, but it quickly became something much bigger—a full book with actual real-world use cases. In this conversation, we cover:

Over 70 examples of how generative AI is being applied across industries.
How businesses can get started without feeling overwhelmed.
The risks and challenges with using AI, including data privacy issues.
Why our book stands out: it’s full of practical advice, not unrealistic promises.
If you’re an executive wondering if AI is right for your company or just curious about the practical side of AI, this video gives solid, real-world insights.

🔔 Subscribe to get more videos about using tech to solve real business problems.

Timestamps: 00:00 - Introduction & How the Book Came About 05:00 - Yves’ Background: From DJ to AI Expert 10:00 - Practical Business Use Cases for Generative AI 14:30 - Data and Privacy Concerns 22:00 - Advice for Business Leaders Who Are Skeptical of AI 27:00 - Debunking AI Myths 32:00 - Fun Rapid-Fire Questions: Chocolate Spaghetti & AI Superpowers

👥 Guest: Yves Mulkers - Co-author of "Generative AI Business Applications" 🎙 Host: David Sweenor - Co-author & Business Technologist

📘 Check Out the Book: Generative AI Business Applications: https://tinytechguides.com/media/generative-ai-business-applications/

If you enjoyed the conversation, hit like, share your thoughts in the comments, and subscribe for more straightforward tech talks.

#GenerativeAI #BusinessUses #TinyTechGuides #DataPrivacy #AIInBusiness #TechForLeaders #DataAnalytics

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AI-generated podcast using Google NotebookLM about a blog I wrote titled: Why LLM Patterns Are the Key to Enterprise Success — And Why Ignoring Them is a Mistake. #generativeai #ai #llm #tinytechguides

Read the blog at https://tinytechguides.com/blog/why-llm-patterns-are-the-key-to-enterprise-success-and-why-ignoring-them-is-a-mistake/.

Get the book at https://tinytechguides.com/media/the-generative-ai-practitioners-guide/

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Are you looking for the latest strategies to help you succeed in B2B marketing? Join TinyTechGuides Talks as author Kalyan Ramanathan and David Sweenor discuss his recently released book on Modern B2B Marketing and the impact of generative AI. Get ready to unlock the secrets behind modern marketing techniques, from innovative data-driven tactics to creative ads! Grab your copy of Kalyan's book today from Amazon and start transforming your B2B marketing potential now!https://www.amazon.com/gp/product/B0C63RVZT8

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TinyTechGuides Talks - Decoding the Modern Data Stack Interview with Dr. Nick Jewell. Dr. Nick Jewell discusses his recent book release with David Sweenor. Grab your copy today on Amazon. https://www.amazon.com/Mastering-Modern-Data-Stack-TinyTechGuides/dp/B0CJXKKM2H/

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Ever wonder why your AI-generated content feels off-brand, generic, or flat-out wrong?
It might be missing the most important part of your product messaging—because it can't read the tables.

In this quick explainer, we show you why LLMs struggle with structured data like tables and why your core messaging might be getting lost in translation. You’ll learn the simple “Doc Approach” that ensures your AI tools actually see your value pillars.

🎯 Whether you're a product marketer, content creator, or AI enthusiast—this one-minute tip could save you hours of rewriting.

👉 Read the full blog: https://prompts.tinytechguides.com/p/your-llms-so-smart-its-missing-the
📘 Pick up a TinyTechGuide: https://tinytechguides.com/
🔔 Follow for more snackable, strategic insights on AI and marketing.

#GenerativeAI #ProductMarketing #ContentStrategy

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📢 "For people who are confused about all this, where should they start?"

Finding your footing in the rapidly evolving AI landscape can be challenging. In this practical segment from the Data Faces Podcast, John Thompson, Global AI Leader at EY, shares accessible resources for executives and practitioners looking to build their AI and analytics knowledge base.

🔍 Key Takeaways:
1- TinyTechGuides offer accessible entry points for those new to AI concepts
2- Professional networks like LinkedIn provide ongoing education through expert commentary
3- Consistent engagement with credible sources builds practical knowledge over time

📩 More insights & resources:
👉 Explore TinyTechGuides: https://prompts.tinytechguides.com/p/there-is-no-post-ai-world-preparing
👉 Connect with John Thompson: https://www.linkedin.com/in/johnkthompson/
💬 What resources have you found most valuable in building your AI knowledge? Share your recommendations in the comments.
👍 For more practical insights on navigating the AI landscape, subscribe to the Data Faces Podcast!

Listen now on:
YouTube: https://www.youtube.com/playlist?list=PLzrDACjTQ4OBoQ8qM1FMGBwYdxvw9BurR
Spotify: https://open.spotify.com/show/6SmGkQGvZQSAT1O7g1l2yF
Apple Podcasts: https://podcasts.apple.com/us/podcast/data-faces-podcast/id1789416487
#AILearning #DataLiteracy #AIEducation #TinyTechGuides #AIResources

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📢 "Altman and Musk say AGI is here today. My postulation: we're looking at 2250."

In this provocative segment from the Data Faces Podcast, John Thompson, Global AI Leader at EY, presents a methodical framework for understanding AI's evolutionary trajectory that stands in stark contrast to more sensational predictions from tech industry figures.

🔍 Key Takeaways:
1- Three distinct AI capabilities—predictive, generative, and causal—form the foundation of current AI systems
2- These capabilities will merge into "composite AI" over the next two decades
3- True AGI remains centuries rather than years or decades away, according to Thompson's analysis

📩 More insights & resources:
👉 Read the full analysis: https://prompts.tinytechguides.com/p/there-is-no-post-ai-world-preparing
👉 Connect with John Thompson: https://www.linkedin.com/in/johnkthompson/
💬 What intermediate capabilities between today's AI and theoretical AGI do you believe will emerge first? Share your thoughts below.
👍 For more strategic perspectives on AI's long-term trajectory, subscribe to the Data Faces Podcast!

Listen now on:
YouTube: https://www.youtube.com/playlist?list=PLzrDACjTQ4OBoQ8qM1FMGBwYdxvw9BurR
Spotify: https://open.spotify.com/show/6SmGkQGvZQSAT1O7g1l2yF
Apple Podcasts: https://podcasts.apple.com/us/podcast/data-faces-podcast/id1789416487
#AGI #AIEvolution #FutureOfAI #AIStrategy #CompositeAI

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📢 "There are 150 companies with agent frameworks... that's not going to last."

John Thompson, Global AI Leader at EY, provides a strategic assessment of the generative AI and agent technology landscape. In this critical segment from the Data Faces Podcast, Thompson draws a compelling parallel between today's fragmented AI market and the early automotive industry's inevitable consolidation.

🔍 Key Takeaways:
1- Generative AI has moved past the initial adoption curve while agent technologies remain earlier in development
2- The current explosion of 150+ agent frameworks parallels the 100+ car companies of the early 20th century
3- Market consolidation is inevitable, with important strategic implications for technology selection

📩 More insights & resources:
👉 Read the full analysis: https://prompts.tinytechguides.com/p/there-is-no-post-ai-world-preparing
👉 Connect with John Thompson: https://www.linkedin.com/in/johnkthompson/
💬 Which agent frameworks do you see surviving the coming market consolidation? Share your predictions below.

👍 For more strategic technology insights, subscribe to the Data Faces Podcast!
Listen now on:
YouTube: https://www.youtube.com/playlist?list=PLzrDACjTQ4OBoQ8qM1FMGBwYdxvw9BurR
Spotify: https://open.spotify.com/show/6SmGkQGvZQSAT1O7g1l2yF
Apple Podcasts: https://podcasts.apple.com/us/podcast/data-faces-podcast/id1789416487
#AIMarket #TechConsolidation #AIAgents #GenerativeAI #EnterpriseAI

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📢 "My postulation is that it will be 2250 before we get to AGI."

John Thompson challenges prevailing narratives from tech luminaries about artificial general intelligence in this thought-provoking segment. The EY Global AI Leader and author introduces his framework for understanding AI's evolutionary path over the coming decades, drawing from insights in his comprehensive new book.

🔍 Key Takeaways:
1- Thompson identifies three foundational AI pillars: predictive, generative, and causal capabilities
2- These will merge into "composite AI" over the next two decades
3- Despite claims from figures like Altman and Musk, Thompson projects AGI remains two centuries away

📩 More insights & resources:
👉 Read the full analysis: https://prompts.tinytechguides.com/p/there-is-no-post-ai-world-preparing
👉 Connect with John Thompson: https://www.linkedin.com/in/johnkthompson/
💬 Do you agree with Thompson's timeline for AGI development? Why or why not?
👍 For more executive perspectives on AI's future trajectory, subscribe to the Data Faces Podcast!

Listen now on:
YouTube: https://www.youtube.com/playlist?list=PLzrDACjTQ4OBoQ8qM1FMGBwYdxvw9BurR
Spotify: https://open.spotify.com/show/6SmGkQGvZQSAT1O7g1l2yF
Apple Podcasts: https://podcasts.apple.com/us/podcast/data-faces-podcast/id1789416487
#AGI #ArtificialIntelligence #AIFuture #AIStrategy #TechLeadership

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📢 "The Path to AGI" isn't just a book title—it's a comprehensive framework for AI's future.

John Thompson, Global AI Leader at EY, introduces his new 461-page exploration of artificial intelligence's evolutionary trajectory. In this brief but insightful segment from the Data Faces Podcast, Thompson outlines the book's unique structure and its methodical approach to understanding AI's past, present, and future.

🔍 Key Takeaways:
1- Thompson's book examines the technical foundations and requirements for AI advancement
2- The structure explores three key AI branches: foundational/predictive, causal, and generative AI
3- Each section analyzes historical development, current capabilities, and future potential

📩 More insights & resources:
👉 Read the full analysis: https://prompts.tinytechguides.com/p/there-is-no-post-ai-world-preparing
👉 Connect with John Thompson: https://www.linkedin.com/in/johnkthompson/
💬 Which aspect of AI's evolutionary journey are you most interested in understanding better? Share below.
👍 For more insights from leading AI thinkers and authors, subscribe to the Data Faces Podcast!
Listen now on:
YouTube: https://www.youtube.com/playlist?list=PLzrDACjTQ4OBoQ8qM1FMGBwYdxvw9BurR
Spotify: https://open.spotify.com/show/6SmGkQGvZQSAT1O7g1l2yF
Apple Podcasts: https://podcasts.apple.com/us/podcast/data-faces-podcast/id1789416487

#AIEvolution #BookRelease #PathToAGI #AIFuture #AIStrategy

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📢 "Don't anthropomorphize agents, but do wrap them with everything you'd give an employee."

John Thompson, Global AI Leader at EY, provides a pragmatic governance framework for AI agents in this essential segment from the Data Faces Podcast. He offers a nuanced approach that balances operational flexibility with appropriate constraints.

🔍 Key Takeaways:
1- Uncontrolled agents can make unauthorized purchases, form unwanted contracts, or consume excessive resources
2- Effective governance means surrounding agents with relevant policies and procedures—like you would with employees
3- While agents should be bound by organizational guidelines, they shouldn't be anthropomorphized with human-like identities

📩 More insights & resources:
👉 Read the full analysis: https://prompts.tinytechguides.com/p/there-is-no-post-ai-world-preparing
👉 Connect with John Thompson: https://www.linkedin.com/in/johnkthompson/
💬 What governance frameworks is your organization implementing around AI agents? Share your approach in the comments.

👍 For more strategic insights on AI governance, subscribe to the Data Faces Podcast!

Listen now on:
YouTube: https://www.youtube.com/playlist?list=PLzrDACjTQ4OBoQ8qM1FMGBwYdxvw9BurR
Spotify: https://open.spotify.com/show/6SmGkQGvZQSAT1O7g1l2yF
Apple Podcasts: https://podcasts.apple.com/us/podcast/data-faces-podcast/id1789416487

#AIGovernance #AIEthics #AIControl #EnterpriseAI #AIRisk

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📢 "Agents are like microservices with brains."

John Thompson, Global AI Leader at EY, explains why autonomous agents represent a fundamental advancement beyond traditional robotic process automation (RPA). In this insightful segment from the Data Faces Podcast, Thompson articulates the architectural shift from rigid automation to flexible, intelligent processing.

🔍 Key Takeaways:
1- Traditional RPA follows predefined pathways while agents navigate variable outcomes
2- Agents combine structured process elements with flexible, adaptive decision-making
3- This hybrid approach enables handling complex workflows that couldn't be automated previously

📩 More insights & resources:
👉 Read the full analysis: https://prompts.tinytechguides.com/p/there-is-no-post-ai-world-preparing
👉 Connect with John Thompson: https://www.linkedin.com/in/johnkthompson/

💬 What processes in your organization are too complex for traditional RPA but might be suitable for agent-based automation? Share your thoughts below.
👍 For more insights on advanced process automation, subscribe to the Data Faces Podcast!
Listen now on:
YouTube: https://www.youtube.com/playlist?list=PLzrDACjTQ4OBoQ8qM1FMGBwYdxvw9BurR
Spotify: https://open.spotify.com/show/6SmGkQGvZQSAT1O7g1l2yF
Apple Podcasts: https://podcasts.apple.com/us/podcast/data-faces-podcast/id1789416487
#intelligentautomation #RPA #AIAgents #ProcessAutomation #WorkflowTransformation

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📢 "The Terminator scenario makes for great movies, but terrible strategic planning."

In this illuminating segment from the Data Faces Podcast, John Thompson, Global AI Leader at EY, addresses the perennial question of AI-driven job displacement with refreshing clarity. Drawing from his experience teaching at the University of Michigan, Thompson offers a measured perspective on why wholesale workforce replacement remains significantly overstated.

🔍 Key Takeaways:
1- Current AI technologies remain nascent despite impressive demonstrations
2- Students entering the workforce face different adaptation challenges than mid-career professionals
3- Implementation complexity creates natural limitations on AI's immediate workforce impact

📩 More insights & resources:
👉 Read the full analysis: https://prompts.tinytechguides.com/p/there-is-no-post-ai-world-preparing
👉 Connect with John Thompson: https://www.linkedin.com/in/johnkthompson/
💬 How is your organization balancing AI implementation with workforce development? Share your approach in the comments.
👍 For more executive insights on AI strategy, subscribe to the Data Faces Podcast!
Listen now on:
YouTube: https://www.youtube.com/playlist?list=PLzrDACjTQ4OBoQ8qM1FMGBwYdxvw9BurR
Spotify: https://open.spotify.com/show/6SmGkQGvZQSAT1O7g1l2yF
Apple Podcasts: https://podcasts.apple.com/us/podcast/data-faces-podcast/id1789416487

#AIWorkforce #FutureOfWork #AILeadership #EnterpriseAI #WorkforceStrategy

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