IT Tech Videos & Podcasts

Are You Assembling the Avengers While The Moment Passes? For his last documentary, David flew a sound engineer and a TV production crew to a dry lake bed in the Nevada desert, just to record his footsteps and a passing car. Four hotel rooms, two cities, one soundscape. Most stories can’t wait for that kind of operation, and most opportunities won’t. Owen Grover, General Manager USA at Nomono, knows the trade-off well: when an interview subject becomes available at the last minute, waiting to assemble the full team can mean missing the moment altogether. It’s a dilemma every tech leader will recognise, whether the prize is a story, a pilot or a product launch. Together they unpack when a lean kit beats a full squad, why video has proved additive rather than a threat to audio, and where AI should stop: the audience and the creators should always be human. Press play before you call in the cavalry.

Why My Investment App Knew I Was on the Phone Justin Pagano was on a phone call when he opened his investment app, and a banner appeared: we’re not calling you, and we’d never ask for this. No block, no extra step, just a nudge at the exact moment a scam would land. It’s a small thing that raises a big question for every tech leader: when does protection help people, and when does it just get in their way? Justin, Senior Director of GRC Engineering at Vanta, argues that most governance still runs on PDFs and point-in-time snapshots that can’t keep pace with cloud-scale systems or AI. We unpack why risk rarely lands with the business, how layered defences work like seatbelts and airbags, what’s lurking in your shadow AI inventory, and why fixating on risk for its own sake can quietly wreck the outcome you were protecting. Press play if your controls look fine on paper.

Do You Know Which of Your Customers Are AI Agents? A few weeks before this conversation, a global hotel group believed its AI agents were under control: registry, governance, real-time token tracking. Then millions of visits hit its website that nobody could identify. They were personal AI agents, acting for real guests, searching and booking rooms. Turning them away wasn’t an option. The team had 24 hours to decide what to control. Wei Manfredi, SVP of AI and Architecture at IHG Hotels & Resorts, takes David inside that scramble. When an agent scrapes the wrong rate and the booking collapses, who answers to the guest? Why do agents scrape web pages when an API sits ready? And why is so much of what we call AI risk really poor engineering? We also unpack how to turn staff who fear replacement into builders. If agents are already shopping on your site, this is your early warning. If you’re heading to Web Summit and looking for a different way to meet attendees, we’re hosting a breakfast run club on Tuesday November 10th at 7am. Come and meet some new, friendly faces: https://luma.com/mpv6bmso

Every CEO Is Living Through Y2K again Overnight, Neil Fox argues, a developer can become a supervisor of AI agents. That is not a tooling upgrade. It is an identity shift, and most organisations have no plan for it. Neil, Chief Transformation Officer at Artizent, has spent a lifetime in software and now works as much with business leaders as with engineers. He explains why agile teams of seven to nine are shrinking to pods of three, why the bottleneck has moved from writing code to deciding what is worth building, and why treating AI as a time-saver misses its real value: running thousands of experiments at once. We also get into the token budgets CFOs have no idea how to plan, and the question Neil wishes more leaders asked: what does all this do to us as a society? Press play if your job title is about to mean something different.

Your Agents are Junior Staff. Who's checking their work? At one point, Jenny Larsson was letting AI do so much of her writing that she felt herself getting worse at it, until the words no longer sounded like her. So she pulled back. That small retreat sits at the centre of a much bigger problem. Executives talk about AI constantly, she says, yet almost entirely as a productivity play, while customer growth goes undiscussed and entry-level roles quietly disappear. If fewer juniors climb the ranks, who becomes the expert capable of judging an agent’s work? Jenny, former global CIO for specialty lines at Intact Insurance and now an adviser to executive teams placing their AI bets, unpacks her human-AI delegation ladder, research suggesting 70% of AI success is process, people and change, and why your visibility inside AI answers is the new search problem. Press play before you hand over another decision you can no longer check. On today’s show we also talk about “I love it, but I hate it”; a piece of research from Nuffield Health and the Ada Lovelace Institute into the impact of digital on young people. Read the report .

Is Your AI Pilot Too Snazzy to Survive Production? What happens when any employee can launch an agent that updates a thousand records before IT even knows it exists? Recorded during Dreamforce week in San Francisco, David Savage sits down with Frank Klensch, who leads technical architecture and engineering for Slalom's enterprise applications team, after more than a decade in and around Salesforce. With IT budgets under intense scrutiny and bottom-up AI experimentation spreading through organisations, Frank argues that the companies getting real value aren't the ones with the flashiest pilots. They're the ones that treat autonomy as something an agent earns.

Is Rewarding AI Spend The Dumbest Idea Ever? Last year, an IT leader told his C-suite the only thing he could guarantee about their new AI tooling was that they'd change their minds within six months. It took three. Now it's budget season again, and boards are demanding AI savings yesterday. Jim Daniel, Senior Vice President of Enterprise IT and Business Operations at Smarsh, argues that pressure is exactly why so many enterprises are deploying AI without governing it, and why so much of the output is slop rather than value. At Dreamforce, we unpack why the model is no longer the limiting factor, how a switch to usage-based pricing changed who gets access, why vendors quietly switching on AI is the governance gap nobody budgets for, and why he's relieved he no longer owns security. If your AI spend is climbing faster than your confidence in what it returns, press play.

AI Won't Fix The Hole In Your Roof A customer told Taksina Eammano something that morning that should worry anyone running a physical workforce: 17% of their people will retire in the next few years, and decades of know-how will walk out with them. Her bet runs against the doom narrative. While AI disrupts desk jobs, she expects a surge back into the trades, because no model is fixing a roof or rewiring a building, and the global data-centre boom needs people on site. Recorded at Dreamforce, David Savage and Salesforce's EVP & GM of Field Service unpack where the "human premium" is worth paying for, why robots are taking the dull, dirty and dangerous work first, and the question almost nobody is asking: how do you performance manage a team when AI makes everyone 70% as good?

Why I Spent $30k on a GPU and Lost Four Kilos Testing AI Three months after ChatGPT launched, Navan co-founder and CTO Ilan Twig bought a $30,000 GPU, spent months testing uncensored models and lost four kilos in the process. His question: if a model gives five different answers to the same prompt, how do you trust it in production? One finding stuck. It knows what a lie is, and will use one to avoid losing. That discovery shaped an AI agent that now resolves more than 62% of customer chats with zero critical hallucinations. We unpack why he's moving most of his AI onto small in-house models, why he calls the industry's reliance on Chinese open-weight models a ticking bomb, and why he believes the race to superintelligence cannot be stopped. Then comes the uncomfortable part: in that future, we're the gorillas.