
Data Driven
Exploring Machine Learning, AI, and Data Science
Data Driven
Show overview
Data Driven has been publishing since 2018, and across the 8 years since has built a catalogue of 318 episodes, alongside 19 trailers or bonus episodes. That works out to roughly 180 hours of audio in total. Releases follow a fortnightly cadence, with the show now in its 9th season.
Episodes typically run thirty-five to sixty minutes — most land between 5 min and 56 min — with run-times ranging widely across the catalogue. None of the episodes are flagged explicit by the publisher. It is catalogued as a EN-language Technology show.
The show is actively publishing — the most recent episode landed earlier today, with 22 episodes already out so far this year. The busiest year was 2019, with 66 episodes published.
From the publisher
Data Driven: the podcast where we explore the emerging field of Data Science. We bring the best minds in Data, Software Engineering, Machine Learning, and Artificial Intelligence right to you every Tuesday. The field of data science mashes up the worlds of statistics, database architecture and software engineering. Data Scientist has been labelled by the Harvard Business Review, as "the sexiest job of the 21st century." A quick search of job search sites reveal that this field is in high demand. In a world where Data is the new Oil, Data Science the new Refineries, consider this Car Talk for the Data Age. Every week we bring the best minds in this emerging field straight to you. Our goal is to educate and inspire our listeners so that they can be prepared to thrive in a Data Driven world.
Latest Episodes
View all 318 episodesDigital Trust in Practice: Compliance, AI, and Human Factors with Sandeep Pauddar
AI Adoption in Power Plants and Beyond – Trends, Challenges, and ROI Insights
Building Trust in AI – Lawrence Snap on Hallucination Detection and the Future of TrustScale
Numeracy, Probability, and Business – Embracing Randomness for Better Decisions
Tackling Data Engineering Challenges with Autonomous AI Agents
Unlocking Enterprise Knowledge – AI, Document Comprehension, and the Future of RAG
Demystifying State in AI: Smarter Reasoning and Real-World Legal Applications
How Data and AI Are Revolutionizing Philanthropy for Nonprofits and Donors
Why ‘Data-Driven Decisions’ Are a Myth
Bulletproof KDE and Why Linux is Winning Over Developers
Connectivity and Trust in Agentic AI -Overcoming Distributed Challenges with Band
Wrangling a Thousand AI Agents: Control, Auditability, and Emergency Shutdowns
Why Data Driven Cultures Succeed and Technology Alone Falls Short
Navigating the Wild West of AI in Finance: Policies, Pitfalls, and Opportunities
Token Economy and AI Agents: The Final Hurdles in Enterprise Deployment
The Neuroresilient Leader - Staying Human in the Age of Artificial Intelligence
Governance, Architecture, and the Evolving Role of Data Engineers in the AI Age
Alternative Data and Its Impact on Modern Investing

S9 Ep 18Andy Boettcher on Why This is the Age of the Chaotic Brain
this episode, Frank sits down with Andy Boettcher, the Chief Innovation Officer at DoubleTrack, for a candid conversation about embracing the power (and chaos!) of modern AI tools.Together, they dive into how neurodiversity and "chaotic brains" are thriving in this new era, where ideas can be rapidly tested, refined, and built with the aid of tools like Claude code. From the practical realities of using AI for software development and troubleshooting (even in classic cars and household appliances) to the shifting landscape of business innovation, they discuss the opportunities and challenges facing individuals and companies alike.You'll hear first-hand stories about building podcast production tools, leveraging AI agents as virtual team members, the importance of critical thinking in an age of instant information, and why data security and adaptability are more crucial than ever. Whether you're a technologist, business leader, or simply curious about what it means to innovate today, this episode promises insight, humor, and a healthy dose of chaos.Let's get data driven.LinksAndy's LinkedIn -https://www.linkedin.com/in/andyboettcher/ShowDog -https://www.showdog.studio/Time Stamps00:00 What a Chief Innovation Officer does06:18 The age of chaotic creativity09:56 Using AI for planning discussions11:31 Choosing the name Show Dog15:22 Brainstorming and organizing ideas18:43 Using tech for learning20:47 Companies adopting AI strategies25:10 Classic car ownership struggles28:41 Taking time to rethink plans31:34 Using AI to solve problems37:25 Challenges in commercializing academic concepts39:18 Adapting to evolving AI technology43:36 AI tools and problem-solving in coding45:23 Limitations of AI and data security47:33 Data security and CRM setup51:22 Challenging assumptions and blind spots

S9 Ep 17Synthetic Populations and the Future of Decision Intelligence
In this episode of Data Driven, Frank and Andy dive into the future of market intelligence with Dr. Jill Axline, co-founder and CEO of Mavera—a company building synthetic populations that simulate real human behaviour, cognition, and emotion. Forget Personas. We're talking real-time, AI-driven behavioural modeling that's more predictive than your horoscope and considerably more data-backed.Dr. Axline shares how Mavera’s swarm of AI models situates these synthetic humans within real-world business contexts to forecast decisions, measure emotional resonance, and even test marketing messages before they go live. From governance and model drift to the surprising uses in financial services, political campaigns, and speechwriting—this is one of the most forward-looking conversations we’ve had yet.If you've ever wanted a deeper understanding of how AI can augment decision-making—or just want to hear Frank admit asset managers love ice cream—this one’s for you.LinksLearn more about Mavera:https://mavera.ioConnect with Jill Axline on LinkedIn:https://linkedin.com/in/jillaxlineMorningstar:https://www.morningstar.comTime Stamps00:00 - Introduction & AI Swarms Explained03:30 - Forget Personas: Contextual AI Models07:00 - Evidence vs Inference & AI Governance10:20 - Simulation Scenarios & Model Drift14:30 - Synthetic Audiences in Action18:00 - Evidence Feedback Loops & Small Data Challenges22:00 - Industry Applications & Use Cases27:00 - Analyzing Speeches & Emotional Resonance30:45 - Sentiment, Social Listening, and Real-Time News Reactions34:00 - Adversarial Models & Strategic Pushback38:00 - The Cartoon Bank Portal That Failed Spectacularly41:00 - From Skeptic to CEO: Jill’s Journey45:00 - Data Privacy, Compliance & Synthetic Ethics48:00 - Reflections on Empathy, Engineers, and Selling Without SellingSupport the ShowIf you enjoy Data Driven, leave us a review on Apple Podcasts or your favourite pod platform. It helps more people find the show—and fuels Frank’s Monster Energy habit.