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

More from Value Driven Data Science All episodes →

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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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   E118 · 12 Aug 2026 · 12 min

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

   A 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, a book deal, or an opportunity you couldn't have anticipated. In this Value Boost episode, Cynthia Dunlop joins Dr Genevieve Hayes to explore how data scientists can convert blog writing into bigger opportunities and what it actually takes to make the leap from blog post to book. You'll discover: How conference organisers actually find their speakers — and…

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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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   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…

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   E112 · 1 Jul 2026 · 16 min

   Episode 112: [Value Boost] Lies, Damned Lies and Stakeholders

   AI misinformation is a new problem. Misleading data is not. Long before anyone had heard of a hallucination, organisations were making bad decisions based on cherry-picked statistics, misunderstood averages, and numbers that confirmed what decision-makers already wanted to believe. In this Value Boost episode, Derek Gibson joins Dr Genevieve Hayes to explore how data professionals can help their stakeholders become better data sceptics and avoid being duped by misleading data long before it ever reaches an AI. In this episode, you'll discover: 1. The timeless data traps that catch even…

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   E111 · 24 Jun 2026 · 27 min

   Episode 111: Building Your Defences Against AI Misinformation

   AI doesn't lie - at least, not intentionally. It just sounds completely confident while filling in the gaps with whatever seems most plausible. And in a world where AI outputs are increasingly being used to inform high-stakes decisions, the ability to spot what's wrong, before it reaches a stakeholder, is becoming one of the most important skills a data professional can have. In this episode, Derek Gibson joins Dr Genevieve Hayes to share practical strategies for identifying unreliable AI outputs and building the defences necessary to keep AI-generated misinformation from reaching your…

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   E110 · 17 Jun 2026 · 17 min

   Episode 110: [Value Boost] Why You Need Less Data Than You Think

   In high-stakes decision-making, waiting for more data is often not an option. Yet many data scientists assume that without a large dataset, meaningful analysis is impossible. The good news is that rigorous, quantitative analysis is possible with far less data than most data scientists realise - in some cases with just a single datapoint. In this Value Boost episode, Douglas Hubbard joins Dr Genevieve Hayes to share practical techniques from How to Measure Anything that data scientists can start using right now to support high-stakes decisions when observations are scarce and every data point…

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    E109 · 10 Jun 2026 · 30 min

    Episode 109: How to Measure Anything and Make Better Decisions

    Data scientists are trained to work with large datasets. But the decisions that truly make or break an organisation are rarely the ones with large datasets behind them. They are the high-stakes, one-off decisions made under significant uncertainty - and most data scientists have no framework for handling them. In this episode, Douglas Hubbard joins Dr Genevieve Hayes to share how combining techniques from statistics, economics and decision theory can help data scientists tackle the problems that matter most. In this episode, you'll discover: What Applied Information Economics is and how it…