Introducing: CustomerLake - Profile Agents

Overview
| Experience | In Person |
|---|---|
| Track | Customer Data Platform (CDP) |
| Industry | Communications, Media & Entertainment |
| Technologies | Lakeflow, Unity Catalog |
| Skill Level | Beginner |
Databricks CustomerLake is how data and business teams can use agents to build a clean Customer360 on Databricks. This session will deep dive on new capabilities that help teams convert raw data into golden c360 profiles that are ready for business use, resolve customer identities, and continously quality-check data for accuracy – all while maintaining the security and governence of Unity Catalog your enterprise depends on.
In this session, you’ll learn:
- How to use agents convert raw data into golden C360 records, ready for business use
- How to use agents to resolve customer identities and generate unified IDs using 3rd party data enrichment
- How to train agents to run regular quality checks and improvements on data
- How to use a marketplace of 3rd party data for enrichment
Session Speakers
Patrick Yang
/Software Engineer
Databricks
Phil Catterall
/Sr Product Manager
Databricks