PODCAST · science
ChatADS
by MS in Applied Data Science
ChatADS is a podcast from the University of Chicago’s MS in Applied Data Science program exploring how data science is used in the real world. Hosted by Daniel Truesdale, Director of Enrollment Management & Analytics, the show features candid conversations with faculty, students, alumni, and industry professionals. Episodes cover real-world applications, career paths, ethical considerations, and emerging trends shaping the future of data science.
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10
AI is the Industrial Revolution for Knowledge Workers
ChatADS host Daniel Truesdale chats with Nicole Janeway Bills, Founder & CEO of Data Strategy Professionals, to explore how AI is transforming the way organizations operate, and why technology alone isn't enough to drive successful adoption.Nicole shares her perspective on data strategy, governance, organizational culture, and the growing gap between AI capabilities and organizational readiness. Together, they discuss why AI doesn't fail like humans do, the importance of experimentation, how governance must evolve alongside AI, and what skills will matter most in an increasingly automated world.Whether you're a data professional, student, or simply curious about the future of work, this conversation offers practical insights into navigating one of the biggest technological shifts of our time.
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9
What Happens When AI Gets Too Good? | Part 2 with Batu Gundogdu
In Part 2 of their conversation, MS in Applied Data Science instructor Batu Gundogdu and host Daniel Truesdale explore some of the biggest questions surrounding the future of artificial intelligence. The discussion covers Artificial General Intelligence (AGI), the race between leading AI companies, the push for smaller and more efficient models, and whether AI could one day surpass human capabilities across multiple domains. They also examine the challenge of defining intelligence, the possibility of truly original AI-generated ideas, and what may continue to distinguish humans from machines.
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8
Faculty Spotlight: The Evolution of AI with Batu Gundogdu
In this Faculty Spotlight conversation, Batu Gundogdu traces the evolution of AI from early machine learning research and speech processing to today's large language models and emerging world models. Along the way, he discusses how AI has changed over the last decade, what may come next, and how foundational concepts continue to shape modern systems.Batu also shares lessons from his first AI consulting projects, including how to identify real business problems, communicate across disciplines, and create value with machine learning. The conversation explores career growth, learning through failure, and why adaptability is one of the most important skills in a rapidly changing field.
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7
Ordering up AI
AI assistants are starting to do more than answer questions; they’re beginning to take action. In this episode of ChatADS, MS in Applied Data Science alumna Hailey Kleban joins Daniel to discuss Resy’s new integration with Claude, the future of agentic AI in restaurant booking, and the real-world challenges of balancing automation, security, and human oversight.
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6
Is It Possible to Predict the Crypto Market Using AI?
Students from the University of Chicago's MS in Applied Data Science program share how they built a real-time crypto trading system for their Real Time Intelligent Systems class, and what they learned about volatility, model performance, and decision-making in fast-moving markets.Explore the project here on GitHub: https://github.com/shreyast36/nexus-trading
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ABOUT THIS SHOW
ChatADS is a podcast from the University of Chicago’s MS in Applied Data Science program exploring how data science is used in the real world. Hosted by Daniel Truesdale, Director of Enrollment Management & Analytics, the show features candid conversations with faculty, students, alumni, and industry professionals. Episodes cover real-world applications, career paths, ethical considerations, and emerging trends shaping the future of data science.
HOSTED BY
MS in Applied Data Science
CATEGORIES
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