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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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Agentic AI & Ending Hallucinations | Hyoun Park
Data Faces Podcast
37 minutes 44 seconds
6 months ago
Agentic AI & Ending Hallucinations | Hyoun Park

📢 Are AI “hallucinations” just bad framing? Discover why agentic quality—not accuracy alone—will decide which AI products win.Generative and agent-based AI are changing how every team researches, plans, and executes. In this fast-paced talk, Hyoun Park, CEO & Principal Analyst at Amalgam Insights, joins David Sweenor to break down what agentic quality means, why “hallucinations” is the wrong metaphor, and how to keep thousands of enterprise agents from running wild. Perfect for data leaders and curious execs who want pragmatic, hype-free answers.🔍 Key Takeaways:1- Agentic quality measures goal-oriented reasoning and timeliness—metrics most benchmarks ignore.2- “Hallucination” anthropomorphizes AI; call it model mismatch and fix the data or prompt instead.3- Synthetic data and vector stores are table stakes; trust and governance will decide adoption.4- Expect agent sprawl: thousands of mini-workflows that demand new ownership and monitoring.5- Within five years, every white-collar role will spend ~25 % of its time orchestrating AI.⏳ Timestamps for Easy Navigation:00:00 – Intro & show setup01:00 – Hyoun’s analyst journey and Amalgam Insights mission03:30 – What AI agents actually do beyond meeting scheduling07:00 – Will agents make us mentally lazy? Human learning vs. automation11:30 – Defining agentic quality and why accuracy isn’t enough18:00 – Retiring the term “hallucination” and reframing model errors24:30 – Managing agent sprawl and ownership at scale29:00 – Synthetic data, vector DBs & the real impact on quality33:00 – Creative AI: music, art, and the future of human craft36:00 – The missing capability—establishing cross-agent trust37:30 – Final thoughts & episode wrap-up📩 More insights & resources:👉 Read Hyoun’s latest posts: https://amalgaminsights.com/🔗 Connect with Hyoun Park:💼 LinkedIn: https://www.linkedin.com/in/hyounpark/🌎 Website: https://amalgaminsights.com/💬 What resonated most? Tell us in the comments!👍 If you learned something useful, give us a like, share with a colleague, and subscribe for more weekly AI strategy talks.#AgenticAI #DataAnalytics #ArtificialIntelligenceSee more at https://prompts.tinytechguides.com/s/the-tinytechguides-chronicle

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