Value Driven Data Science

Dr Genevieve Hayes
  • 5.0 (6)
  • Technology
  • Updated Weekly

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 to stop being a technical executor and become a strategic expert, this masterclass is for you.

  1. 2d ago

    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 counts. In this episode, you'll learn: Why a single observation reveals more than you think [01:58]How Laplace's Rule of Succession lets you estimate probabilities from tiny samples [08:25]The Rule of Five and what it reveals about small sample statistics [12:08]The simplest and most overlooked technique for reducing measurement uncertainty [14:07]Guest Bio Douglas Hubbard is the founder and president of Hubbard Decision Research and the creator of Applied Information Economics. He has over 35 years’ experience in management consulting focusing on the application of quantitative methods to decision making. He is also the author of How to Measure Anything: Finding the Value of Intangibles in Business and The Failure of Risk Management: Why It’s Broken and How to Fix It. Links How to Measure Anything websiteConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

    17 min

  2. Jun 10

    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 works in practice [03:17]Why organisations are systematically measuring the wrong things [09:23]How the Lens Model can make expert judgment more reliable than the expert themselves [13:44]How AI can turbocharge the Applied Information Economics approach [21:10]Guest Bio Douglas Hubbard is the founder and president of Hubbard Decision Research and the creator of Applied Information Economics. He has over 35 years’ experience in management consulting focusing on the application of quantitative methods to decision making. He is also the author of How to Measure Anything: Finding the Value of Intangibles in Business and The Failure of Risk Management: Why It’s Broken and How to Fix It. Links How to Measure Anything websiteConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

    30 min

  3. Jun 3

    Episode 108: [Value Boost] How to Use AI Without Losing Your Edge

    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 use AI before you have the expertise to direct it [05:51]Why your AI interactions should be conversations rather than one-way requests [06:54]How to use AI to become a better thinker not just a faster worker [08:40]Guest Bio Tim Dietrich is an independent software developer with over 25 years’ experience building business software for organisations ranging from startups to Fortune 50 companies, including Siemens and the Library of Congress. Recently, he has become known for building a virtual team of AI specialists that allows him to operate with the output and breadth of a small firm, while remaining a team of one. Links Connect with Tim on LinkedInTim's websiteConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

    10 min

  4. May 27

    Episode 107: Building a Virtual Empire of AI Specialists

    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 virtual AI team, and what data scientists can learn from his experience. In this episode, you'll discover: How Tim went from being the "world's most negative person on AI" to building a virtual team of over 100 specialists [03:08]What a virtual team of AI specialists can do that a human team can't [06:11]How to build your first AI agent and what to delegate to it [14:19]Why the human in the middle is still the most important person on the team [17:11]Guest Bio Tim Dietrich is an independent software developer with over 25 years’ experience building business software for organisations ranging from startups to Fortune 50 companies, including Siemens and the Library of Congress. Recently, he has become known for building a virtual team of AI specialists that allows him to operate with the output and breadth of a small firm, while remaining a team of one. Links Connect with Tim on LinkedInTim's websiteConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

    29 min

  5. May 20

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

    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 short [01:36]How to recognise when AI is the wrong tool for the job [04:46]Why most AI conversations eventually lead back to data, people and processes [06:25]How to push back on an AI solution without losing stakeholder confidence [09:43]Guest Bio Santosh Kaveti is the CEO and Founder of ProArch, a technology consultancy that helps enterprises operationalise AI securely and at scale. His expertise spans critical infrastructure industries, including power generation, manufacturing and healthcare, where he has seen firsthand how AI can drive business transformation in complex regulatory environments. Links Connect with Santosh on LinkedInProArch websiteConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

    12 min

  6. May 13

    Episode 105: From AI Idea to Production Reality

    Organisations today have no shortage of AI ideas. What they lack is the ability to turn those ideas into production-ready systems that deliver real business value. For data scientists trying to get AI projects off the ground, understanding why that gap exists is as important as the technical work itself. In this episode, Santosh Kaveti joins Dr Genevieve Hayes to share what organisations consistently get wrong when embarking on AI initiatives, and what data scientists can do to help get it right. In this episode, you'll discover: Why organisations with great AI ideas still fail to deploy them [02:16]What history tells us about where the current AI wave is heading [09:48]The real cost of bolting AI onto systems that weren't designed for it [13:42]How to forge the cross-functional partnerships that get AI projects off the ground [22:21]Guest Bio Santosh Kaveti is the CEO and Founder of ProArch, a technology consultancy that helps enterprises operationalise AI securely and at scale. His expertise spans critical infrastructure industries, including power generation, manufacturing and healthcare, where he has seen firsthand how AI can drive business transformation in complex regulatory environments. Links Connect with Santosh on LinkedInProArch websiteConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

    29 min

  7. May 6

    Episode 104: [Value Boost] The Four Zones of AI Productivity for Data Scientists

    AI can get you to 60% of a finished output in minutes. But getting from 60% to 100% - the part where real insight lives - is where human expertise becomes the deciding factor. And the more expertise you bring, the further AI can take you. In this Value Boost episode, Brent Dykes joins Dr Genevieve Hayes to apply his Four Zones of AI Productivity framework to the insight generation process and explore what it means for data professionals who want to position themselves as strategic advisors. In this episode, you'll discover: The Four Zones of AI Productivity and how they apply to insight generation [01:28]Why AI can help you find an insight but can't generate an actionable one [06:39]Why better AI tools will widen the gap between experts and novices [09:46]How to use AI effectively in your insight generation process [11:44]Guest Bio Brent Dykes is the author of Effective Data Storytelling and the founder of AnalyticsHero. He has consulted with some of the world’s most recognised brands, including Microsoft, Sony, Nike and Amazon, and is a regular contributor to Forbes. Links Connect with Brent on LinkedInEffective Data Storytelling websiteForbes article about the Four Zones of AI ProductivityConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

    14 min

  8. Apr 29

    Episode 103: The Art of the Actionable Insight

    Most data scientists have been in this situation: you spend hours analysing a dataset, return to your stakeholder with your findings, and are met with a polite "that's interesting" - before your work disappears into a drawer, never to be seen again. The problem usually isn't the analysis. It's that interesting observations and genuine insights are not the same thing. In this episode, Brent Dykes joins Dr Genevieve Hayes to share the frameworks behind identifying and communicating insights that actually move organisations to act. In this episode, you'll discover: What makes an insight an insight and why only 5% of findings qualify [03:42]The four dimensions that focus your analysis before you touch the data [11:25]The six criteria for a truly actionable insight [15:06]Why narrative outperforms an executive summary every time [19:14]Guest Bio Brent Dykes is the author of Effective Data Storytelling and the founder of AnalyticsHero. He has consulted with some of the world’s most recognised brands, including Microsoft, Sony, Nike and Amazon, and is a regular contributor to Forbes. Links Connect with Brent on LinkedInEffective Data Storytelling websiteConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

    31 min
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About

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 to stop being a technical executor and become a strategic expert, this masterclass is for you.

Information

  • Creator
    Dr Genevieve Hayes
  • Years Active
    2022 - 2026
  • Episodes
    110
  • Rating
    Clean
  • Copyright
    © 2026 Genevieve Hayes Consulting
  • Show Website
    Value Driven Data Science

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