IT Tech Videos & Podcasts

Is Your AI Strategy a Science Project with a budget? Most AI programmes begin with the exciting part. Prashant Hinge, Chief Information and Transformation Officer at MSIG USA, argues that is exactly why so many aren't delivering value. He describes how the specialty insurer took a different route, the first transformation of his career to start with data: consolidating 15 insurance systems into a single data model in 12 months before building on top of it. We hear why he warned leadership the work could slow the business for the first 18 months, why a wrong number on a dashboard usually has to be fixed in the source system rather than the reporting layer, and why he believes the industry is jumping straight to AI while data, process and integration are still missing. He also makes the case that most basic process problems do not need a frontier model at all.

Rethinking Who Belongs in Tech Too often, the story of human trafficking ends at the rescue. The survivor leaders Laura Hackney worked with wanted something different: a job, stability, a career. So who gets to build the technology the rest of us use? Laura is co-founder and CEO of AnnieCannons, a US nonprofit that trains survivors of human trafficking to become software and AI engineers. Students join a 12-month paid programme with health benefits and work on production code while they learn. Many don't arrive wanting to be coders. They arrive wanting a career that supports their family. David and Laura discuss why financial independence is a critical part of the healing journey, and where the "rescue" narrative falls short. The biases companies bring about who "makes it" in tech, and how investor attitudes have shifted. How apprenticeships at growth-stage companies are converting at around 80% into full-time hires.

What to Fix Before Deploying Autonomous AI How do you secure autonomous AI agents when zero-trust fundamentals are still lacking? Mandy Andress, CISO at Elastic, joins David Savage to break down the reality of securing AI-driven enterprise data. From Elastic’s "Customer Zero" framework to grounding AI in context to prevent hallucinations, Mandy shares why tightly scoping permissions and deploying deception strategies are essential for modern resilience.

Is AI Governance string enough? General Mills' Sanchit Srivastava (Senior Manager Data Analytics) joins the podcast to talk about why unstructured data isn't the hard part of implementation, governance is. He compares AI to a toddler ("it'll get there, but a lot happens on the way"), unpacks why token costs are about to explode, and makes the case that AI should be sold as an amplifier, not a replacer. Today's episode is a sharp, practical look at where enterprise AI actually breaks-down.

The EU AI Act is an Operational Maturity Test Is the EU AI Act keeping you up at night? Box's Global Head of Public Policy, Leah Perry, argues that organizations are looking at AI governance all wrong. It’s not a legal hurdle; it’s an operational maturity test. In this episode, we unpack why regulated industries are ahead, the real threat of ignoring employee upskilling, and how to build a cross-functional framework that keeps your business agile.

The Reality of AI Code AI agents write code faster than we can review it, shifting software developers from builders to managers of virtual colleagues. Chris Plowman, Director of Enterprise Architecture, Data and AI at Slalom, joins David to unpack this existential shift. Why are we returning to the age of the generalist? And why are CIOs discarding business fundamentals in a rush to implement AI?

Why Your AI Strategy Belongs in Business Ops Everyone is pitching enterprise AI, but why is the CFO missing from the room? ShipStation Global’s Arjun Srinivasan joins David Savage to challenge the fluff. He explains why AI leadership belongs in Business Operations, not IT. From red-teaming AI at his dinner table to coaching pre-teens to build safely, Arjun shares how to move from framework to code and tackle the one metric everyone avoids: real, quantifiable business ROI.

Six Hundred Million Decisions a Day. Zero Trust in the Room. Six hundred million automated decisions are made daily at Optimum, but what happens when the human agents go rogue? Today's episode features a conversation with Sundar Krishnan, who reveals why customer service agents override AI recommendations, the long-term cost of short-term customer "credits," and why enterprise AI is guaranteed to hallucinate without a critical, context-driven semantic layer. Todays show underscores why it is so important to bridge the human-AI trust gap.

Is Your AI Strategy Actually Working Backwards? Most companies chasing AI ROI are solving the maze from the outside in. Stephen Henn, Managing Director of AI Innovation at DLA Piper, joins David Savage to explain why "AI-ifying" a broken human process just gives you an automated, expensive mess. From the token economics of scaling AI to the compliance risk of shadow "vibe coding," Stephen shares what it actually takes to work backward from real impact and get to deterministic, fiduciary-grade results.