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Data Faces Podcast
TinyTechMedia
27 episodes
5 hours ago
Data Faces is a podcast that brings the human stories behind data, analytics, and AI to the forefront. Join us for engaging interviews and discussions with the industry’s leading voices—the leaders, practitioners, and tech innovators who are shaping the future of data-driven decision-making. In each episode, we explore the culture, challenges, and real-life experiences of the people behind the numbers. Whether you're a tech executive, data professional, or just curious about the impact of data on our world, Data Faces offers a refreshing look at the individuals and ideas driving the next wave
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Business
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All content for Data Faces Podcast is the property of TinyTechMedia and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Data Faces is a podcast that brings the human stories behind data, analytics, and AI to the forefront. Join us for engaging interviews and discussions with the industry’s leading voices—the leaders, practitioners, and tech innovators who are shaping the future of data-driven decision-making. In each episode, we explore the culture, challenges, and real-life experiences of the people behind the numbers. Whether you're a tech executive, data professional, or just curious about the impact of data on our world, Data Faces offers a refreshing look at the individuals and ideas driving the next wave
Show more...
Business
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The End Goal of AI: Humans, Not Machines | Eric Kavanagh
Data Faces Podcast
39 minutes 57 seconds
2 months ago
The End Goal of AI: Humans, Not Machines | Eric Kavanagh

📢 What’s the real end game of AI? Is it about smarter machines—or smarter organizations?In this episode of Data Faces, Eric Kavanagh, AI analyst and syndicated radio host of DM Radio, joins David Sweenor, founder of TinyTechGuides, to explore what success in AI truly means for business, technology, and society.Eric has spent decades helping enterprises navigate the data-driven world. He argues that AI isn’t a monolith—it’s a tool that works best when humans stay in control, governance evolves, and organizations learn to use intelligence responsibly.🔍 Key Takeaways:1- Why the “end goal” of AI is human productivity, not machine autonomy2- How corporate hierarchies will evolve as AI becomes embedded in workflows3- Why transparency, audit logs, and explainability will define governance success4- The risks of “big model” complexity and why small, focused models may win5- Why AI will change how we work more than what we do⏳ Timestamps for Easy Navigation:00:00 – Welcome and introduction to Eric Kavanagh01:00 – How Eric built a career at the intersection of data and media05:20 – Defining the “end goal” of AI: business, life, and technology08:45 – Where humans remain central—and why that won’t change12:10 – Transparency, bias, and the challenge of giant AI models19:00 – Real-world AI agents: when automation works and when it doesn’t22:50 – The rise of small language models and the age of execution29:45 – Governance, audit logs, and minimal viable oversight33:00 – The future of jobs, creativity, and collaboration39:00 – Where to find Eric Kavanagh and DM Radio📩 More insights & resources:👉 Blog recap: https://tinytechguides.com/blog/why-80-of-ai-projects-fail-and-the-three-boring-decisions-that-save-the-other-20/🔗 Connect with Eric Kavanagh:💼 LinkedIn: https://www.linkedin.com/in/erickavanagh/🌎 Website: https://dmradio.biz💬 What do you think? What should the end game of AI be? Drop your thoughts below!👍 Enjoyed this conversation? Like, share & subscribe for more real-world AI and data insights.#AI #DataFacesPodcast #EricKavanagh

Data Faces Podcast
Data Faces is a podcast that brings the human stories behind data, analytics, and AI to the forefront. Join us for engaging interviews and discussions with the industry’s leading voices—the leaders, practitioners, and tech innovators who are shaping the future of data-driven decision-making. In each episode, we explore the culture, challenges, and real-life experiences of the people behind the numbers. Whether you're a tech executive, data professional, or just curious about the impact of data on our world, Data Faces offers a refreshing look at the individuals and ideas driving the next wave