About

For years, we’ve been told that success in data and AI comes from building faster: more engineers, more specialists, more delivery capacity. But what happens when AI can write the code, build the dashboards, and assemble solutions in minutes?
The bottleneck moves.

In this thought-provoking session, David Rice, Group CEO at Snap Analytics, and Paul Johnson, Chief Product & Technology Officer at Snap Labs, explore a fundamental shift happening across data and AI teams. As agents take on more of the execution, the real differentiator is no longer technical delivery. It’s context.

Who defines what “good” looks like? Who decides which inputs matter? Who determines whether an AI-generated output is commercially useful, trustworthy, and worth acting on?

Expect a candid discussion on why specialist roles are converging, why ownership is expanding, and why the organisations creating the most value from AI may not be the ones with the best technology, but the people who provide the best context.

Takeaways:

• Why AI shifts the competitive advantage from execution to judgement and what that means for modern data teams.
• The emergence of the Context Engineer and why this role could become one of the most valuable in the enterprise.
• How specialist workflows are converging as AI takes responsibility for more of the delivery lifecycle.
• A practical framework for creating trustworthy AI outcomes, from defining success criteria to validating business value.