About

Most organisations are investing heavily in AI, but many are still struggling to turn early ideas and pilots into something that delivers real value. After the initial excitement fades, teams often run into the same problems: unclear ownership, poor data quality, lack of trust in outputs, and solutions that don’t quite fit how the business actually works.
In this session, Hamid Raza shares lessons learned from building and running data and AI capabilities in complex, regulated environments.

Drawing on real experience, including the creation of AI-driven underwriting and pricing tools, Hamid will talk honestly about what works, what doesn’t, and why strong data foundations matter far more than most organisations expect.
Rather than treating governance, reporting, and data quality as separate initiatives, this session explores how embedding them directly into AI delivery helps teams move faster, build trust, and achieve meaningful return on investment.

This talk is aimed at data, analytics, and business leaders who want practical guidance on how to move beyond experimentation and build AI solutions that people actually use and that the business can stand behind.

Takeaways

• Why most AI initiatives stall after the pilot. How to avoid the common traps that stop them from delivering real business value
• What “AI Foundations” actually mean in practice. Beyond buzzwords, and which elements genuinely make a difference to trust, adoption and ROI
• How to embed governance, data quality and reporting into AI delivery with slowing teams down