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Artwork for Value Driven Data Science

Value Driven Data Science

Dr Genevieve Hayes
Data Science
Machine Learning
Artificial Intelligence
Social Media
Data Visualization
Business Value
Career Development
Data Engineering
Entrepreneurship
Consulting
Networking
Generative AI
Data Analytics
Blockchain
Algorithms
Job Loss
Large Language Models
Cryptocurrency
Outsourcing Data Teams
AI Boom

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 ... more

PublishesWeeklyEpisodes110Founded4 years ago
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Artwork for Value Driven Data Science

Latest Episodes

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 ... more

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 - ... more

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 ... more

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... more

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Recent Guests

Tim Dietrich
Independent software developer with a large virtual AI team
Independent software developer
Episode: Episode 108: [Value Boost] How to Use AI Without Losing Your Edge
Santosh Kaveti
CEO and founder of ProArch
ProArch
Episode: Episode 105: From AI Idea to Production Reality
Brent Dykes
Author of Effective Data Storytelling
Forbes (reference)
Episode: Episode 104: [Value Boost] The Four Zones of AI Productivity for Data Scientists
Rob Hyndman
Professor of Econometrics and Business Statistics, Monash University
Monash University
Episode: Episode 101: Why Traditional Statistics Still Matters in the Age of AI
Matt O'Mara
Managing Director of Information and Insights Company Analysis Paralysis; Founder and Director of i3; international speaker and strategist
Analysis Paralysis; i3
Episode: Episode 100: What Data Science Value Really Means
Serg Masis
Principal AI Scientist at Syngenta; author of Interpretable Machine Learning with Python
Syngenta
Episode: Episode 98: Building Trust in AI Through Model Interpretability
Dr Tim Varelmann
Founder of Bluebird Optimization; PhD in mathematical optimization
Bluebird Optimization
Episode: Episode 96: Making Better Decisions with ML and Optimisation
Professor Steve Stern
Professor of data science at Bond University and custodian of the Duckworth-Lewis-Stern cricket scoring system.
Bond University
Episode: Episode 94: Creating Global Impact with Data Science
Dr. Sayli Javadekar
Data scientist and economist who has transitioned from academia to industry
Episode: Episode 93: [Value Boost] What Industry Data Scientists Can Learn from Academic Training

Hosts

Dr Genevieve Hayes
Host of Value Driven Data Science
Dr Tim Varelmann
Co-host and guest on the episode

Reviews

5.0 out of 5 stars from 14 ratings
  • Valuable advice for data practitioners seeking to advance their impact

    Dr Hayes provides consistent valuable advice for data scientists, engineers, analysts, and even team managers for how to improve the impact you are making in a business.

    Apple Podcasts
    5
    Act-4-Change
    United Statesa year ago
  • Inspiration for your own data science journey

    The Value Driven Data Science Podcast with Dr. Genevieve Hayes offers a valuable learning experience, featuring insights from industry experts and real-world examples that illustrate the practical applications of data science techniques. It's a great way to stay updated on the latest trends, network with professionals in the field, and gain inspiration for your own data science journey.

    Apple Podcasts
    5
    David Shriner-Cahn
    United States2 years ago
  • Highly recommend!

    Dr. Genevieve and her guests always provide great conversation and analysis that I very much look forward to.

    Apple Podcasts
    5
    IowaDavid
    United States3 years ago
  • Data is the new gold

    Data is the new gold and this show provides fascinating insights into the world of data science. 5/5 from someone without a data background.

    Apple Podcasts
    5
    The humble movie lover
    Australia3 years ago
  • Great podcast on Being a Data Science Leader

    Data Science is inherently interdisciplinary, and data science within an organization requires even broader sets of skills and relationships. Dr. Hayes’ podcast covers the technology, people, and business goal sides of being a data science leader.

    Apple Podcasts
    5
    Jonathan Dursi
    Canada3 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

- Consistently insightful conversations about governance, storytelling, and business value.
- Clear, practical guidance for data practitioners aiming to increase impact.
- Listeners praise the host's ability to translate technical concepts into actionable takeaways.
- High-quality guests who bring real-world experience to data strategy.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#228
United Kingdom/Technology
Apple Podcasts
#212
Sweden/Technology

Talking Points

Recent interactions between the hosts and their guests.

Episode 107: Building a Virtual Empire of AI Specialists
Q: So if a data scientist wanted to start building their own virtual empire tomorrow, where should they begin?
Begin by building a single agent for a concrete task, such as generating project quotes or drafting a proposal. Use past work as a template, then test and refine the prompts. Over time, combine multiple agents to cover broader capabilities, like a business manager that can handle quotes and contracts, gradually expanding the scope as you gain comfort and experience.
Episode 104: [Value Boost] The Four Zones of AI Productivity for Data Scientists
Q: Is AI actually capable of identifying an actionable insight or is it just capable of producing a visualization from which you could spot the insight?
AI can help uncover insights and speed up the discovery process, but producing truly actionable insights requires substantial training data, full context, and human interpretation to validate relevance and impact.
Episode 100: What Data Science Value Really Means
Q: What are the three best nuggets you've learned from 100 episodes and how have they shaped your thinking?
1) Data scientists should focus on enabling better executive decisions rather than just performing analyses. 2) Decision science stresses defining decisions and the leverage points early to connect technical work to outcomes. 3) Aligning projects with core executive priorities (revenue, costs, risk, customer and employee satisfaction) makes the work more persuasive and value-driven.
Episode 98: Building Trust in AI Through Model Interpretability
Q: Can you explain the practical distinction between interpretability and explainability for our listeners?
Interpretability refers to how easily humans can understand the model's structure and decisions (often related to the model being simple or transparent), while explainability concerns the ability to provide a coherent justification for a model's outputs, which may involve post hoc analyses or narrative explanations that connect inputs to outcomes.
Episode 94: Creating Global Impact with Data Science
Q: If data scientists listening today could focus on just one thing to increase the chances of their work achieving real-world impact, what should it be?
Start by picking a problem that you think is really important, and create a solid base solution for that problem.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

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Frequently Asked Questions About Value Driven Data Science

What is Value Driven Data Science about and what kind of topics does it cover?

This show consistently centers on turning data work into measurable business impact. Across episodes, guests share practical frameworks for evaluating when AI is appropriate, translating data insights into strategic decisions, and building governance, storytelling, and collaboration practices that bridge data teams with operators and executives. Notable throughlines include data storytelling, open-source and education in data science, responsible AI, and the tension between advanced analytics and real-world workflows. A distinctive thread is inviting practitioners who blend technical depth with business fluency, from academics transitioning to industry to leaders implementing analytics at scale, often with a sports, healthcare, or manufactu... more

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Which podcasts are similar to Value Driven Data Science?

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1. DataFramed
2. Super Data Science: ML & AI Podcast with Jon Krohn
3. The Indicator from Planet Money
4. Moonshots with Peter Diamandis
5. Marketplace

How many episodes of Value Driven Data Science are there?

Value Driven Data Science launched 4 years ago and published 110 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Value Driven Data Science?

Recent guests on Value Driven Data Science include:

1. Tim Dietrich
2. Santosh Kaveti
3. Brent Dykes
4. Rob Hyndman
5. Matt O'Mara
6. Serg Masis
7. Dr Tim Varelmann
8. Professor Steve Stern

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