Value Driven Data Science

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 LinkedIn
Tim's website
Connect with Genevieve on LinkedIn
Be among the first to hear about the release of each new podcast episode by signing up HERE

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 LinkedIn
Tim's website
Connect with Genevieve on LinkedIn
Be among the first to hear about the release of each new podcast episode by signing up HERE

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 LinkedIn
ProArch website
Connect with Genevieve on LinkedIn
Be among the first to hear about the release of each new podcast episode by signing up HERE

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 LinkedIn
ProArch website
Connect with Genevieve on LinkedIn
Be among the first to hear about the release of each new podcast episode by signing up HERE

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 LinkedIn
Effective Data Storytelling website
Forbes article about the Four Zones of AI Productivity
Connect with Genevieve on LinkedIn
Be among the first to hear about the release of each new podcast episode by signing up HERE