Session

GenAI Observability in Customer Care

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Overview

Tuesday

June 10

3:00 pm

ExperienceIn Person
TypeBreakout
TrackData Engineering and Streaming
IndustryFinancial Services
TechnologiesAI/BI, Databricks SQL, DLT
Skill LevelIntermediate
Duration40 min

Customer support is going through the GenAI revolution, but how can we use AI to foster deeper empathy with our end users?To enable this, Earnin has built its GenAI observability platform on Databricks, leveraging Lakeflow Declarative Pipeliness, Kafka and Databricks AI/BI.This session covers how we use Lakeflow Declarative Pipelines to monitor our customer care chatbot in near real-time and how we leverage Databricks to better anticipate our customers' needs.

Session Speakers

Matteo Ciccozzi

/Senior Machine Learning Engineer
EarnIn

Willem Dhaeseleer

/Senior Staff Software Engineer
EarnIn