SPEAKER

Alkis
Polyzotis

/

Software Engineer, Databricks

Alkis Polyzotis is a technical lead working on tools that help Databricks customers improve the quality of their data and AI assets. Prior to joining Databricks, he worked at Google in the TensorFlow Extended project and in Google's internal dataset search, and before that he held a faculty position at UC Santa Cruz.

Alkis's sessions

Alkis will be contributing to these sessions at Data + AI Summit 2026:
Artificial Intelligence & Agents

How to Implement Observability to Reduce Agent Sprawl

Alkis Polyzotis/Databricks
Arthur Dooner/Databricks
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