AI - Beyond the Hype
AI - Beyond the Hype is a podcast for senior executives, technology leaders, and data professionals who want a clear-eyed view of what it really takes to make AI work in the enterprise.
Each short episode is designed for easy consumption by busy leaders and executives, offering concise, practical conversations on the foundations behind successful AI adoption — from data quality and observability to governance, operating models, architecture, and trust. Through thoughtful, conversational dialogue, the show connects executive priorities with the technical realities that determine whether AI delivers meaningful value or simply creates more noise.
If your organisation is asking big questions about AI readiness, digital transformation, and data-driven decision-making, this podcast is designed to help you quickly separate what sounds impressive from what actually works.
Episodes
10 episodes
Operating Models for Solid Foundations Part 2 - Fund the Foundation, Not Just the Launch
Part 2 of 2 in our Operating Models for Solid Foundations series.Part 1 diagnosed the problem: enterprises fragment their technology portfolios when they don't choose an operating model explicitly, and architecture governance without fu...
Operating Models for Solid Foundations Part 1 - The Model You Didn't Choose
Part 1 of 2 in our Operating Models for Solid Foundations series.Most large enterprises have project frameworks, architecture tollgates, and governance processes — and still end up with three separate "central" data platforms. In this e...
Data Quality Part 2: Fixing It - Critical Data Elements, Contracts, and the One Question That Stops Robodebts
Part 2 of 2 in our Data Quality series.In Part 1, James came in skeptical and walked out sold on the problem. In Part 2, we deliver the fix — the discipline, the architecture, and the eight concrete moves executives can make on Monday m...
Data Quality Part 1: Beyond Accuracy — What "Good Data" Really Means When AI Is on the Line
Most executives think data quality means one thing: is the number right? Three decades of research — and a string of nine-figure disasters — say it's actually at least seven different things, and AI is now scaling whichever one your organisatio...
AI Security Part 3: Why PII and the Privacy Act Are the AI Foundation Most Leaders Skip
You can have the most secure AI stack in the country and still be in breach of the Privacy Act before lunch. Sarah and James close the series with the foundation underneath the foundation: personal information. James, now grounded o...
AI Security Part 2: When AI Stops Answering and Starts Acting
Last episode was about AI that answers. This one is about AI that acts — and the moment prompt injection became a board-level risk.Sarah and James pick up where Part 1 left off. James, fully converted on the security argument, asks the q...
AI Security Part 1: Why AI Without Data Security Is a Breach Waiting to Happen
Sarah and James open the three-part Data Security for AI series with a simple argument: AI is only as trustworthy as the data underneath it.What we coverThe adoption gap: Gartner expects 40% of enterprise apps to embed AI a...
The Invisible Architecture: Why Data Modelling Is the Make-or-Break for Enterprise AI
Sarah and James unpack a question most AI programmes never ask early enough: is the data actually modelled? Drawing on recent benchmarks, documented enterprise failures, and hard ROI evidence, they explore why AI accuracy drops to zero w...
Why Data Observability Matters Before AI Scales
In the first episode of AI - Beyond the Hype, Sarah and James explore why data observability is one of the most overlooked foundations of enterprise AI readiness. They discuss how incomplete, delayed, duplicated, or poor-quality data can...