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

  1. 6h ago

    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
  2. 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
  3. Apr 22

    Episode 102: [Value Boost] How Giving Away Your Work for Free Can Build Your Authority as a Data Scientist

    Building authority as a data professional doesn't require a large budget, a publisher, or even a large audience. But it does require a deliberate decision to share your thinking with the world and the patience to let that compound over time. In this Value Boost episode, Prof. Rob Hyndman joins Dr. Genevieve Hayes to share how selectively giving away his work for free helped him become one of the most cited and influential statisticians in the world, and what data professionals at any stage of their career can learn from that approach. In this episode, you'll discover: Why Rob decided to give away his work for free from the start of his career [01:42]How open source software multiplied the impact of his research [05:58]Why authority building is a virtuous cycle and how to start it [09:47]Why starting small is the right move [10:35]Guest Bio Prof. Rob Hyndman is one of the world’s most influential applied statisticians and a Professor in the Department of Econometrics and Business Statistics at Monash University. He has maintained an active statistical consulting practice for over 40 years, published over 200 research papers, co-authored more than 65 R packages and written five books on time series forecasting. He is also a Fellow of both the Australian Academy of Science and the Academy of Social Sciences in Australia. Links Rob's websiteOtexts' websiteConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

    12 min
5
out of 5
6 Ratings

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.

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