'My advice is: don't. Do not. You'd be insane.' That's Paul Sweeney — thirty years in startups, built Webio, sold it to Aryza — on what he tells anyone who wants to start a company. Same advice he gives aspiring writers. The rest of the conversation is about why he did it anyway.

In this episode, Roy, a data quality expert and professor, shares insights on the complexities of data quality, its impact on AI, and practical methods to improve data integrity. Discover how visualization, checklists, and real-world examples can transform your approach to data management.

See the Six Step programme here: https://github.com/royruddle/6-step-data-quality-method

Cigars lit and roughly lost somewhere in East Vancouver, Ben walks and talks with Lurk Skywalker — Vancouver MC, DJ and producer, half of Vibe Selectaz and part of the Digital Motion squad. Lurk explains what 'storytelling bass music' actually means, and how a decade of DJing led him through the long slog of learning production: blending dubstep, grime, UK garage, drum and bass and downtempo into a sound of his own, with a soft spot for old soul, electric organs and boom bap hip hop. Along the way: how Plastician's Rinse FM sets inspired his grime-over-dubstep double drops, why Red Room's Saturday nights (home of Digital Motion, and of Caribbean Nights, Vancouver's longest-running club night) are the beating heart of the city's bass scene, and where the underground is heading — from Bass Coast and Shambhala to after-hours spots like Baesterdam. Plus the artists to start with if bass music is new to you: Zeds Dead, Flume, Rezz and Bristol's Koan Sound. Lurk's own podcast, Lurk Alley Chats, launches this autumn with recordings from Shambhala. Find him on Instagram and SoundCloud at Lurk Skywalker_VS.

This episode puts Takunda Chingonzo — entrepreneur, researcher, and self-described builder at the intersection of data, AI, and African innovation — in front of a fairly uncomfortable mirror of his own making. He's the creator of the AI Fluency Spectrum, a 15-level framework for how people actually use AI, and much of the conversation tests whether he lives up to it. His central argument is that AI has quietly stripped out the friction — the searching, struggling, and choosing — that used to be the mechanism by which thinking got built into us. Skip the struggle, he argues, and you skip the learning: people become "intellectual tourists," downloading skills from AI rather than acquiring them, until a summary of a summary of a summary circulates with nobody having read the source. His proposed fix is blunt and personal: write an atomic note, in your own words, every time you use AI to think through something that matters. If you can't write it without the AI output in front of you, you haven't learned it — and he poses the audience a genuinely uncomfortable test, that if AI and their notes vanished overnight, could they still explain what they claim to know?

The interview doesn't let him off easy on the contradictions. He's a Lovable Ambassador — evangelising a product whose entire pitch is removing friction — while arguing friction is precisely what shouldn't be removed, and he used Lovable to build the very 56-slide deck for this talk. He's also a PhD candidate researching data privacy while telling people to pour their thinking into Obsidian, Claude, and AI agents. The back half broadens out to his development work across Africa (UNDP, UNICEF, TechVillage) versus a local Nottingham meetup, and closes on a lighter but pointed note for the "Dad the Influencer" crowd: a 30-second exercise asking people where the reasoning behind a recent family decision actually lives, and whether they could reconstruct it without help.

https://lovable.dev/

Bryan Oak joins the show to argue that most AI projects fail not because the technology is flawed, but because organisations lack the commercial and operational discipline to choose the right tool for the right problem. He shares a practical classification framework for cutting through the hype and making better technology decisions.

AI skeptic meets AI enablement lead — and they're the same person. Alexander Koukovistas reveals why everyone's obsessing over the wrong 20% of what developers do, and what smart organisations should actually be doing with AI instead.

We speak to Rani Hussain, a seasoned programme leader who is looking for her next role, about what it is like to search for work in the age of AI. We also explore some of the pitfalls of diversity and why it matters so much to good technology.

In this episode we talk with Rachael Thornton about jobs and recruitment in travel tech during times of OOSD and AI. Rachel Thornton shares insights on the travel technology job market, industry trends, and the impact of AI, offering practical advice for professionals aiming to stay relevant and succeed in this evolving sector.

In this episode, Dad the Influencer sits down with AI consultant Eric Bye to unpack the idea of 'high-agency AI' and why the real bottleneck in AI adoption isn’t technology, but culture. They explore how businesses can move faster by shifting from long planning cycles to rapid experimentation using a build-measure-learn approach. The conversation also digs into where AI genuinely adds value today, where it still struggles, and why curiosity, critical thinking, and agency are becoming essential skills for the future of work. Along the way, they touch on hiring, vibe coding, legacy systems, and what leaders should be asking as AI reshapes entire industries.

Part 3: The Final Chapter (Nottingham)

In the final episode of Redundancy: A Blessing in Disguise?, Ben and David meet in Nottingham for a wide-ranging, reflective conversation that goes beyond the experience of redundancy itself. With time, distance, and perspective on our side, we look back at what redundancy took from us — and what it unexpectedly gave us.

This is a more philosophical episode, where we explore how the world of work is changing, and what that means for identity, purpose, and security. We talk openly about AI and its growing impact on jobs, creativity, and the future of employment, as well as the shifting relationship between art, value, and human effort. Along the way, we share what job hunting has really been like in the current climate — the frustrations, the small wins, and the lessons we didn’t expect to learn.

Thoughtful, honest, and occasionally hopeful, this episode brings the series to a close with questions that don’t always have simple answers — but feel more important than ever.