LIVE WEBINAR
Why Enterprise AI Fails: The Data Problems Nobody Fixed First
You've been doing data for years. AI will show you whether you did it well enough.
- Wednesday, 5 August 2026
- Broadcast live at 3PM BST // 10AM ET
- Online via Zoom
We recently outlined why enterprise AI exposes the data problems organisations have been working around for years. Now it’s time to talk about what comes next.
For years, enterprise data problems were survivable because people worked around them. They knew which report to trust, which definition applied, who to ask and which spreadsheet acted as the unofficial source of truth. AI does not know those workarounds.
When data, ownership, context and governance gaps remain hidden, AI can turn them into enterprise risk. The wrong definition, stale input, missing control or unowned dataset may not stop the workflow. It may move faster, further and with more confidence than the organisation can control.
In this webinar, data & AI practitioners from Howden, S&P Global and Ortecha will show why AI readiness depends on more than better models. We’ll explore how to assess whether your data, ownership, context, governance and accountability foundations are ready for AI at scale.
What you’ll learn:
- Why AI exposes data problems that organisations have tolerated for years
- How hidden workarounds become AI risk
- Why “bad data” is too simple a diagnosis
- How control latency appears when AI moves faster than governance
- The five foundations of AI data readiness
- How to assess a real AI use case for data readiness
- What leaders should check before scaling enterprise AI
This session is designed for leaders working in data, AI, technology, risk, architecture and operations who want to scale AI safely.
Speakers:
Barry Panayi
Group Chief Data Officer at Howden
Lisa Lewis
Head of Data Governance, Privacy & Compliance, Enterprise Data Organization at S&P Global
Pete Youngs
Founding Partner at Ortecha
Mark McQueen
Partner at Ortecha
