AI - Beyond the Hype

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 episode, James makes the case that fragmented technology portfolios aren't a delivery failure. They're the downstream consequence of an operating model that was never explicitly chosen. ...

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 morning. This is the episode for leaders who heard last week's case studies and asked "okay, but what do we actually do?"

What we cover:

• The one question every CEO should be as...

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 organisation got wrong.

In Part 1 of our Data Quality in the AI Era series, James starts skeptical. Surely "is the data accurate" covers it? Why is this being made harder than it need...

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 on the security side, opens with a healthy push-back — surely if we own the data, we can use it however we want? Sarah, with the OAIC determinations in hand, takes that apart.

What we cover

APP 6...

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 question every executive is asking: if we lock down the data, are we safe? Sarah's answer: agentic AI changes the threat model entirely.

What we cover

EchoLeak (CVE-2025-32711, June 2025): the fi...

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 cover

The adoption gap: Gartner expects 40% of enterprise apps to embed AI agents by end‑2026 (up from <5%). IBM’s 2025 Cost of a Data Breach Report found 13% of organisations have had an AI-related breach — 97% lacked proper access controls.

Structured vs unstructured data...

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 without proper data foundations, why 80% of AI projects stall on data — not algorithms — and what leaders can do about it. From the London Whale to Walmart's checkout fiasco, this episode...

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 quietly undermine dashboards, reporting, and AI outcomes — and why better AI still starts with better data. (Sources: https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/scenario...

Welcome to AI – Beyond the Hype — the podcast for senior executives, technology leaders, and data professionals who want a clear-eyed, practical view of what it actually takes to make AI work in the enterprise.

In this short trailer, co-hosts James and Sarah introduce the show, themselves, and the way they'll approach every episode: technical depth from Sarah, executive clarity from James, and an honest conversation abou...