Value Driven Data Science

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
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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

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

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