IT Tech Videos & Podcasts

Why Your Team Treating AI Like a Human Continues to Harm AI Literacy Generative AI sounds confident, but it's fundamentally probabilistic, more like a weather app than a calculator. In this episode, Dr. Pravi Devineni, Lead AI Scientist at Duke Energy, explains why anthropomorphizing AI is holding back enterprise adoption. We discuss the critical gap in "AI literacy," why fear is stalling ROI, and who is ultimately accountable when the algorithm gets it wrong. If you’re deploying AI, this is the human side you can't ignore.

Don't Let Science-Fiction Ruin Your Growth Strategy In this episode, David sits down with Mick Costigan, who leads Salesforce Futures, to explore how leaders can anticipate and shape the future of technology. We unpack why AI "hallucinations" are actually a powerful tool for strategic foresight and why the impending rise of personal AI agents will force companies to move from transactional interactions to genuine customer relationships.

Cultural Change in a 100-Year-Old Travel Brand When Lucy Donaldson left the highly-regulated finance world to become CIO of Globus, a 100-year-old travel brand, she didn't just face a technology upgrade, she faced a massive cultural shift. In this episode, Lucy reveals why true legacy modernisation relies on people before platforms, how a master data foundation enables AI success, and why "shadow AI" presents a new governance challenge. Discover the human decisions driving legacy transformation.

Why Moving Fast is Creating a Mountain of Technical Debt The rush to adopt AI agents is creating an invisible crisis: mounting technical debt and skyrocketing token bills. Woodson Martin from OutSystems joins us to discuss the "token-o-palypse" that shocked CFOs and the hidden costs of moving too fast. We unpack how leaders can seize back control, build secure infrastructure, and truly own their agentic future without sacrificing compliance or their budgets.

The Hidden Invoice Shock That's Destroying Tech Budgets Tech leaders are waking up to massive, unexpected AI bills. Why? The industry has fallen for the 'reasoning trap': paying models to rethink basic, repeatable tasks from scratch. Pegasystems CEO Alan Trefler joins David Savage to expose the "token-eating" agents causing boardroom budget shock. We unpack why standardising your AI "recipe" is the only way to scale without breaking the bank, and why token-maxxing is a flawed strategy.

"Does it Need to Scale?" Whilst at Google, Avery Pennarun realised that building for "Internet scale" made easy problems harder. So he left to build Tailscale, focusing on the long tail of developers who just need computers to connect. Avery talks about the need to ignore Silicon Valley's scale obsession (and how it paved the way for their success), and why removed *AI* from a tech strategy helps reveal the real issues.

The Truth About Deep Tech While software moves fast, progress to unlock the power of fusion energy faces the unforgiving laws of physics. David Savage sits down with Cary Forest, Chief Scientific Officer at Realta Fusion, to explore deep tech's realities. They discuss why nature ignores pitch decks, the tension between massive scientific risk and infinite payoff, and how fusion could eventually provide the clean, 24/7 power needed to sustain the AI revolution.

What Happens Inside the NFL? - Cyber and Risk In this episode, we sit down with Kam Karaji, Director of Cyber Security and Risk Management for the NFL, to uncover the human decisions behind massive data operations. Kam reveals the tension between commercial growth and data privacy, explaining why leadership's blind faith in AI is a vulnerability. We explore how he translates complex cyber threats into commercial metrics and why modern security requires looking beyond obvious threats.

Why Hendrick Auto Scrapped Their Data System and Started Over When executives asked for AI, Hendrick Automotive Group faced a hard truth: their data was disjointed. Instead of patching broken processes, Dan Beyer and Mark Peskir made the tough call to scrap everything and start over. In this episode, they reveal why you can't have an AI strategy without a data strategy, the hidden costs of poor data governance, and how building a single source of truth is transforming the 50-year-old auto giant.