Nick Jewell

As AI evolves faster than governments can regulate it, enterprise leaders face growing uncertainty around access, cost, and control. Building AI on a single provider creates operational and strategic risk. Nick Jewell shares how organisations can design AI architectures that keep models swappable, protect governance, and maintain control of enterprise intelligence, so they can adapt to change without rebuilding their AI strategy.

Discover how the convergence of domain science and AI is redefining operational excellence across the energy landscape. Join this fireside chat to learn how SLB achieves AI Success with Dataiku by leveraging agile development and workforce upskilling to seamlessly embed AI agents into engineering workflows — fuelling smarter digital planning, optimising operations, and setting new benchmarks for industry performance.

Traditional data governance is often insufficient for the amplified risks of live AI models, from bias to black-box decisions. In this session, we'll discuss a capability framework for full-lifecycle AI governance, designed to manage model behavior, build trust, and ensure your AI performs as intended over time.