Value Driven Data Science
Today: #46 in Technology, New Zealand on our combined chart.
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Latest episodes
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Episode 128: [Value Boost] The Three Types of Memory Every AI Agent Needs
October 21, 2026 · 13 minOne of the most frustrating things about working with AI is when it seems to suddenly forget everything it knew about you and your work. This is annoying when using AI chatbots. When building AI systems, it can be catastrophic. In this…
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Episode 127: From Algorithms to Agents and What It Means for Data Science
October 14, 2026 · 23 minThe agentic AI era hasn't made algorithms irrelevant. It has just changed where data scientists need to focus their attention. And the data scientists who understand that distinction, and can explain it to stakeholders who don't, are the…
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Episode 126: Why AI Excels at Some Things and Sucks at Others
October 7, 2026 · 21 minLarge language models excel at some tasks while struggling badly with other. At a time where it seems everyone is currently trying to make sense of AI, understanding and being able to explain exactly why this is the case, has become one of…
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Episode 125: The AI Chicken Nugget Problem
September 30, 2026 · 27 minBuilding something valuable with AI doesn't automatically make you valuable. If the value sits in your creation and your employer owns your creation, you're the one who's dispensable, not the thing you built. This is the AI chicken nugget…
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Episode 124: [Value Boost] 8 Disciplines Every Decision System Needs
September 23, 2026 · 12 minMachine learning is what most data scientists know best. But when it comes to building systems that enable better decision-making, machine learning is just one piece of the puzzle. And leaning on it too much can leave your entire decision…
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Episode 123: How to Build a Decision Factory Inside Your Organisation
September 16, 2026 · 25 minData scientists are trained to build better models. But stakeholders don't wake up hoping for a better model. They wake up hoping to make better decisions. And the gap between those two things is where most data science value quietly…
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Episode 122: [Value Boost] 4 Questions Every Data Scientist Should Ask About AI Strategy
September 9, 2026 · 12 minChoosing which AI tools to buy is the easy part of an AI strategy. The hard part - and the part most organisations are ignoring - is everything that sits beneath the tools, from platform and inference decisions to hardware and…
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Episode 121: What Hybrid Agentic AI Organisations Mean for Data Science
September 2, 2026 · 30 minThe debate about whether AI will replace human workers has already been settled - not by academics or futurists, but by the organisations that fired their humans, discovered AI couldn't do what they needed, and quietly hired them back. The…
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Episode 120: [Value Boost] The AI Silent Correctness Problem
August 26, 2026 · 12 minAI hallucinations get all the attention. But hallucinations are relatively easy to catch because the output is obviously wrong. The failure mode that should worry data scientists more is when the agent uses facts that are true to draw…
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Episode 119: Rewiring Your Data Science Thinking for the Agentic AI Era
August 19, 2026 · 29 minThe shift to agentic AI doesn't make data science skills obsolete. But it does require data scientists to rewire how they think about familiar concepts, such as uncertainty, model evaluation and accountability, in their work. In this…
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Episode 118: [Value Boost] Compounding Your Data Science Authority Beyond Blog Posts
August 12, 2026 · 12 minA well-written blog post gets you noticed. But for data scientists who want to build authority that compounds over time, it's just the beginning. Every piece of writing is a potential stepping stone to something bigger - a conference talk…
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Episode 117: Writing Your Way to Authority as a Data Scientist
August 5, 2026 · 25 minFor data scientists who want to build authority beyond their organisation, writing is one of the most powerful tools available. But in a world flooded with AI-generated content, simply publishing is no longer enough. The data scientists…

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