Episodes
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Episode 129: Building Digital Twins Executives Can Trust
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Episode 128: [Value Boost] The Three Types of Memory Every AI Agent Needs
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Episode 127: From Algorithms to Agents and What It Means for Data Science
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Episode 126: Why AI Excels at Some Things and Sucks at Others
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Episode 125: The AI Chicken Nugget Problem
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Episode 124: [Value Boost] 8 Disciplines Every Decision System Needs
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Episode 123: How to Build a Decision Factory Inside Your Organisation
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Episode 122: [Value Boost] 4 Questions Every Data Scientist Should Ask About AI Strategy
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Episode 121: What Hybrid Agentic AI Organisations Mean for Data Science
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Episode 120: [Value Boost] The AI Silent Correctness Problem
Silent correctness is a subtle but highly dangerous failure mode in AI systems because it produces outputs that appear accurate but are fundamentally flawed due to overlooked assumptions or constraints.
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Episode 119: Rewiring Your Data Science Thinking for the Agentic AI Era
Data scientists' probabilistic reasoning skills are highly relevant and valuable in the agentic AI era.
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Episode 118: [Value Boost] Compounding Your Data Science Authority Beyond Blog Posts
Writing blog posts helps data professionals establish authority and attract bigger opportunities such as conference speaking and book deals.
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Episode 117: Writing Your Way to Authority as a Data Scientist
Effective communication and storytelling are vital for data professionals to build recognition and authority.
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Episode 116: [Value Boost] What Data Scientists Need to Know Before the AI Free Ride Ends
Relying solely on cloud AI models for the future is a strategic error due to expected cost increases once AI companies go public.
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Episode 115: Evolving Your Data Career for the AI Era
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Episode 114: [Value Boost] The Four Conversations Every Data Scientist Needs to Master
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Episode 113: The Experts' AI Manifesto
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Episode 112: [Value Boost] Lies, Damned Lies and Stakeholders
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Episode 111: Building Your Defences Against AI Misinformation
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Episode 110: [Value Boost] Why You Need Less Data Than You Think
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