How to Activate Data Reliability in the GenAI Era
OVERVIEW
EXPERIENCE | In Person |
---|---|
TYPE | Breakout |
TRACK | Data Strategy and Lakehouse Implementation |
INDUSTRY | Media and Entertainment |
TECHNOLOGIES | Data Sharing, Governance, SQL Analytics / BI / Visualizations |
SKILL LEVEL | Intermediate |
DURATION | 40 min |
When it comes to building AI applications, it’s not as simple as turning on an LLM and waiting for the magic to happen. In fact, if you’re not careful, you can easily overlook one of the biggest pitfalls of GenAI success: unreliable data. Behind the curtain of every successful AI product is a series of pipelines powered by rich, unstructured data sets - and the tools, processes, and people that build them. In this fireside chat, Surekha Durvasula, Fortune 500 CDO (Walgreens Boots Alliance) and Barr Moses, CEO and co-founder of Monte Carlo, discuss what it takes to achieve trusted, AI-ready data at scale. They’ll share best practices, lessons learned, and key takeaways from their careers leading data organizations and working with customers to design and operationalize trusted AI.
SESSION SPEAKERS
Barr Moses
/CEO & Co-Founder
Monte Carlo
Surekha Durvasula
/Former CDO
Walgreens Boots Alliance