Andrea Coda
Employers on the program
- 2026Amazon Web Services1 talk
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- Big Data LDN
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Sep 23, 2026 | Big Data LDN 2026 | Big Data LDN | speaker | Your Semantic Layer Is Your AI Strategy: How a Global Pharma Went from Text-to-SQL Hallucinations to 2,500+ Users in Production as AWS Every enterprise rushing to deploy AI agents hits the same wall: the model is only as good as the data it can reach. This session tells the story of a global…Show lessEvery enterprise rushing to deploy AI agents hits the same wall: the model is only as good as the data it can reach. This session tells the story of a global top-10 pharmaceutical company that built an AI-powered data assistant to accelerate drug development insights across several domains. Their data foundation spans multiple platforms, with Snowflake playing a prominent role, serving analytics and commercial workloads across lines of business. The first version of the AI assistant failed, not because of the model, but because free-form queries didn’t align to source data. The fix? A well-governed semantic layer with common vocabularies and rich metadata, bridging their existing data platforms into a unified foundation for AI. We’ll walk through the journey from a single-agent PoC to a multi-agent architecture serving over 2,500 R&D users, and share the three lessons every data platform team should learn before handing their data estate to an AI agent. |
Frequent co-speakers
No one else spoke at two or more of the same events.
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.