The limits of DIY: how an S&P 500 Company escaped the data context trap

Like many technical teams, Gen Digital's data team set out to build their own AI analyst first and quickly spun up a custom GPT on handcrafted business context. It demoed well but then effectiveness stalled as context went stale and knowledge maintenance needs grew exponentially. Gen Digital (Fortune 500 parent of brands including MoneyLion, Norton, Avast, AVG) found themselves falling into the "Data Context Trap.”

We'll walk through what came next: partnering with Delphina to build a context layer they treat like a codebase, 30 “knowledge captains” approving automated updates to their domains, and fast growing expansion of AI analytics across the team.

In this session, you will learn how next generation data teams adopt Delphina on top of popular tools like dbt, Snowflake, and Databricks to build, validate, and maintain data context. The result: elevating the data team’s impact, influence, and reach.