Value Driven Data Science

When the cost of failure is low, experimentation is often the best way to make decisions. But when a wrong call could cost millions or endanger lives, you need an entirely different approach. This is where digital twins come in. And recent technological advances have made them accessible to far more organisations than ever before.
In this episode, Dr Greg Biegel joins Dr Genevieve Hayes to explore what digital twins actually are, how they enable better executive decision-making, and what data scientists need to know to start working with them.
You'll discover:
What a digital twin actually is and what distinguishes it from a traditional simulation [02:35]
The five capability levels of digital twins explained through Google Maps [09:12] 
How digital twins transform raw operational data into executive decisions [14:07]
Why you should always start from a decision and not a technology [25:20]
Guest Bio
Dr Greg Biegel is the author of Digital Twins in Action and has been working as a researcher, software developer, architect and product manager across academia, startups and large enterprises for the past 26 years. He currently works as a Solution Architect with Amazon Web Services.
Links
Connect with Greg on LinkedIn
Connect with Genevieve on LinkedIn
Be among the first to hear about the release of each new podcast episode by signing up HERE

One of the most frustrating things about working with AI is when it seems to suddenly forget everything it knew about you and your work. This is annoying when using AI chatbots. When building AI systems, it can be catastrophic.
In this Value Boost episode, Dr Imran Ahmad joins Dr Genevieve Hayes to explain what memory actually means in AI agents and what data scientists need to understand to build systems that actually remember what matters.
You'll discover:
The three types of memory every AI agent needs [01:54]
Why context and memory are not the same thing [05:37]
What context rotting is and why it matters for how you design AI systems [09:15]
How to make sure LLMs pay attention to what actually matters [10:39]
Guest Bio
Dr Imran Ahmad is a data scientist and president of data consultancy Cloudanum. He is also the author of 30 Agents Every AI Engineer Must Build and 50 Algorithms Every Programmer Should Know.
Links
Connect with Imran on LinkedIn
Connect with Genevieve on LinkedIn
Be among the first to hear about the release of each new podcast episode by signing up HERE

The agentic AI era hasn't made algorithms irrelevant. It has just changed where data scientists need to focus their attention. And the data scientists who understand that distinction, and can explain it to stakeholders who don't, are the ones who will define what the profession looks like next.
In this episode, Dr Imran Ahmad joins Dr Genevieve Hayes to explore the shift from algorithms to agents and what it means for how data scientists should be thinking about their role.
You'll discover:
How the data science toolkit has fundamentally shifted since the start of the AI era [02:09]
The difference between broad AI and deep AI [10:18]
The problems that still demand deep algorithmic solutions [14:10]
How to push back when stakeholders insist on an LLM solution [19:21]
Guest Bio
Dr Imran Ahmad is a data scientist and president of data consultancy Cloudanum. He is also the author of 30 Agents Every AI Engineer Must Build and 50 Algorithms Every Programmer Should Know.
Links
Connect with Imran on LinkedIn
Connect with Genevieve on LinkedIn
Be among the first to hear about the release of each new podcast episode by signing up HERE

Large language models excel at some tasks while struggling badly with other. At a time where it seems everyone is currently trying to make sense of AI, understanding and being able to explain exactly why this is the case, has become one of the most useful things data scientists can offer their stakeholders.
In this special reverse interview episode, Lauren Pearl switches roles with Dr Genevieve Hayes to explore why LLMs work the way they do and what that means for anyone using AI in their work.
You'll discover:
1. What your training data tells you about what AI can and cannot do [05:05]
2. Why high context problems are particularly hard for LLMs [06:28]
3. How AI gives you the right answer for the wrong reason [08:08]
4. Why some problems will always be beyond what LLMs can solve [14:22]
Guest Bio
Lauren Pearl is a business strategist, three-time founder and CFO advisor who helps start-up teams build data-driven businesses that thrive. She is also the resident start-up finance expert at NYU Stern’s Berkley Center for Entrepreneurship, where she teaches financial modelling to founders, and the co-host of The Growth-Minded CFO podcast.
Links
Connect with Lauren on LinkedIn
Subscribe to The Daily CFO newsletter
Connect with Genevieve on LinkedIn
Be among the first to hear about the release of each new podcast episode by signing up HERE

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 to build a sustainable career.
You'll discover:
What the AI chicken nugget problem is and why it matters [02:31]
Why vibe coding is not a rare skill and never will be [05:12]
Why obsessing over something rare and valuable is your best career bet [17:17]
The skills worth investing in for a sustainable career [22:18]
Guest Bio
Lauren Pearl is a business strategist, three-time founder and CFO advisor who helps start-up teams build data-driven businesses that thrive. She is also the resident start-up finance expert at NYU Stern’s Berkley Center for Entrepreneurship, where she teaches financial modelling to founders, and the co-host of The Growth-Minded CFO podcast.
Links
Connect with Lauren on LinkedIn
Subscribe to The Daily CFO newsletter
Connect with Genevieve on LinkedIn
Be among the first to hear about the release of each new podcast episode by signing up HERE