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PODCAST

Value Driven Data Science

Dr Genevieve Hayes

Value Driven Data Science is a masterclass where data professionals learn how to become strategic experts. Each week, Dr Genevieve Hayes speaks with world-class data practitioners who have mastered strategic positioning, built genuine authority, and transformed their expertise into organisational influence. You"ll learn how they create value by helping stakeholders make better decisions and solve real business problems with data - not just by running analyses. If you"re a data professional ready

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All Episodes

26:57

Episode 125: The AI Chicken Nugget Problem

Value Driven Data Science ·

2026/09/30

Building 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 problem and many data scientists who are impacted by it haven't even realised it yet.In this episode, Lauren Pearl joins Dr Genevieve Hayes to explore where real expertise still lives in the age of AI and what data scientists should actually be focusing on

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11:35

Episode 124: [Value Boost] 8 Disciplines Every...

Value Driven Data Science ·

2026/09/23

Machine 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 system exposed.In this Value Boost episode, Adam DeJans Jr joins Dr Genevieve Hayes to walk through the eight disciplines that make up the modern decision stack and where data scientists should focus to close the gaps in their own skill set.You'll

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25:22

Episode 123: How to Build a Decision Factory Inside...

Value Driven Data Science ·

2026/09/16

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

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11:42

Episode 122: [Value Boost] 4 Questions Every Data...

Value Driven Data Science ·

2026/09/09

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

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29:55

Episode 121: What Hybrid Agentic AI Organisations...

Value Driven Data Science ·

2026/09/02

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

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12:22

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

Value Driven Data Science ·

2026/08/26

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

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29:29

Episode 119: Rewiring Your Data Science Thinking for...

Value Driven Data Science ·

2026/08/19

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

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11:57

Episode 118: [Value Boost] Compounding Your Data...

Value Driven Data Science ·

2026/08/12

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

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25:14

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

Value Driven Data Science ·

2026/08/05

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

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13:57

Episode 116: [Value Boost] What Data Scientists Need...

Value Driven Data Science ·

2026/07/29

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,

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27:45

Episode 115: Evolving Your Data Career for the AI Era

Value Driven Data Science ·

2026/07/22

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

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13:11

Episode 114: [Value Boost] The Four Conversations...

Value Driven Data Science ·

2026/07/15

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

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26:39

Episode 113: The Experts' AI Manifesto

Value Driven Data Science ·

2026/07/08

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

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16:00

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

Value Driven Data Science ·

2026/07/01

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

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26:33

Episode 111: Building Your Defences Against AI...

Value Driven Data Science ·

2026/06/24

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

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16:30

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

Value Driven Data Science ·

2026/06/17

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

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29:39

Episode 109: How to Measure Anything and Make Better...

Value Driven Data Science ·

2026/06/10

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

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10:05

Episode 108: [Value Boost] How to Use AI Without...

Value Driven Data Science ·

2026/06/03

AI has the potential to dramatically expand what data scientists can do. But used without care, it also has the potential to quietly erode the expertise that makes them valuable in the first place.In this Value Boost episode, Tim Dietrich joins Dr Genevieve Hayes to explore how to stay on the right side of that line and what mindful AI use actually looks like in practice.In this episode, you'll discover:Why looking for problems to solve with AI is a warning sign [02:05]What happens when you

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28:35

Episode 107: Building a Virtual Empire of AI Specialists

Value Driven Data Science ·

2026/05/27

The question haunting every data scientist right now isn't whether AI will change their work, it's whether there will still be a place for them when it does. The answer, according to Tim Dietrich, isn't to compete with AI but to do something far more interesting with it - in his case, building a virtual team of over 100 AI specialists to dramatically expand what he is able to achieve.In this episode, Tim joins Dr Genevieve Hayes to share the principles and practicalities behind building a

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11:48

Episode 106: [Value Boost] When AI Isn't the Answer

Value Driven Data Science ·

2026/05/20

These days, every organisation wants to describe themselves as "AI-first". But in the rush to find opportunities to use AI, it can be easy to forget that AI isn't always the right answer. In this Value Boost episode, Santosh Kaveti joins Dr Genevieve Hayes to explore the situations where AI isn't the answer, how to recognise them, and how to have the conversation with stakeholders who are convinced it is.In this episode, you'll discover:The types of problems where AI consistently falls

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