Episode 118: [Value Boost] Compounding Your Data Science Authority Beyond Blog Posts

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   E123 · 16 Sep 2026 · 25 min

   Episode 123: How to Build a Decision Factory Inside Your Organisation

   Data 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 disappears. In this episode, Adam DeJans Jr joins Dr Genevieve Hayes to share what it actually looks like when an organisation stops optimising for better predictions and starts building systems that enable better decisions - that is, decision factories. You'll discover: What separates a decision factory from a machine learning pipeline [02:11] Why uncertainty…

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   E122 · 9 Sep 2026 · 12 min

   Episode 122: [Value Boost] 4 Questions Every Data Scientist Should Ask About AI Strategy

   Choosing 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 sovereignty. In this Value Boost episode, Victor Coimbra joins Dr Genevieve Hayes to share his framework for cutting through the noise of AI tool selection to the strategic decisions that will actually determine whether an organisation's AI future succeeds or fails. You'll discover: The four layers of an agentic AI strategy and why most organisations only think about…

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   E121 · 2 Sep 2026 · 30 min

   Episode 121: What Hybrid Agentic AI Organisations Mean for Data Science

   The 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 future isn't AI replacing humans. It's humans and AI working together in ways that neither could manage alone. In this episode, Victor Coimbra joins Dr Genevieve Hayes to share what hybrid agentic organisations actually look like in practice, and what data scientists need to do to position themselves at the centre of them. You'll discover: Why thinking of…

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   E120 · 26 Aug 2026 · 12 min

   Episode 120: [Value Boost] The AI Silent Correctness Problem

   AI 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 conclusions that are false, producing outputs that look perfectly fine. This is known as silent correctness. In this Value Boost episode, Jia Huang joins Dr Genevieve Hayes to explore why silent correctness is the most dangerous failure mode in agentic AI systems and what data scientists can do to catch it before it causes serious harm. You'll discover: Why…

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   E119 · 19 Aug 2026 · 29 min

   Episode 119: Rewiring Your Data Science Thinking for the Agentic AI Era

   The 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 episode, Jia Huang joins Dr Genevieve Hayes to explore what that rewiring actually looks like, and why data scientists are better placed than almost any other profession to make it. You'll discover: Why data scientists are better prepared for the agentic AI era than they might think [03:00] How the data scientist's role is shifting from analyst to system…

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   E117 · 5 Aug 2026 · 25 min

   Episode 117: Writing Your Way to Authority as a Data Scientist

   For 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 who stand out are the ones writing things no AI could have written. In this episode, Cynthia Dunlop joins Dr Genevieve Hayes to share practical frameworks for writing blog posts that stand out, build genuine authority and actually get read. You'll discover: Why AI-generated content has made personal experience more valuable than ever [05:10] The three Ps test…

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   E116 · 29 Jul 2026 · 14 min

   Episode 116: [Value Boost] What Data Scientists Need to Know Before the AI Free Ride Ends

   Right now, AI is cheap. But the companies providing it are losing billions of dollars a year and are expected to go public within the next 12 months. When they do, the price of intelligence is going up - and any organisation that has built its AI future entirely on rented intelligence is going to face a very unpleasant surprise. In this Value Boost episode, Nicholas Kelly joins Dr Genevieve Hayes to explore why organisations shouldn't be building their AI future entirely on frontier models, and what data professionals need to understand to be the strategic voice in the AI infrastructure…

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   E115 · 22 Jul 2026 · 28 min

   Episode 115: Evolving Your Data Career for the AI Era

   The AI era presents a choice for data professionals: wait to see what happens to your role, or get ahead of it and decide what it becomes. Nicholas Kelly made that choice two years ago, when a client told him ChatGPT could do 50% of what he did. What followed is a masterclass in proactive career evolution. In this episode, Nick joins Dr Genevieve Hayes to explore how data professionals can evolve their skills for the AI era, what that evolution looks like in practice, and why their existing expertise puts them in a stronger position than they might think. You'll discover: 1. How Nick evolved…

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   E114 · 15 Jul 2026 · 13 min

   Episode 114: [Value Boost] The Four Conversations Every Data Scientist Needs to Master

   For data scientists, getting a project approved is a sale. It might not feel like one and money might not change hands, but the dynamics are exactly the same. And like any sale, it goes a lot better if you go in with a plan. In this Value Boost episode, Blair Enns joins Dr Genevieve Hayes to explore how data professionals can use the Four Conversations framework to sell their expertise more effectively, whether as independent consultants or as employees within organisations. You'll discover: Why reputation is the most powerful sales tool a data professional has [04:33] How to stop behaving…

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    E113 · 8 Jul 2026 · 27 min

    Episode 113: The Experts' AI Manifesto

    Building genuine expertise takes years. And in the age of AI, losing it can happen gradually and almost invisibly, through small delegations that each seem reasonable in isolation but add up to something significant over time. In this episode, Blair Enns joins Dr Genevieve Hayes to explore how data professionals can use AI without compromising their hard-earned expertise and reputation. You'll discover: Why delegating to AI is always a trade-off [03:00] The crucial difference between writing to communicate and writing to think [08:40] Why you should orient yourself around the problems you…