Workshop Sessions: Fixing Data Quality at Scale with Data Observability
Speakers Bio:
Barr Moses, CEO & Co-Founder at Monte Carlo
Barr Moses is CEO & Co-Founder of Monte Carlo, a data reliability company backed by Accel, GGV, Redpoint, and other top Silicon Valley investors. Previously, she was VP Customer Operations at Gainsight, a management consultant at Bain & Company and served in the Israeli Air Force as a commander of an intelligence data analyst unit. Barr graduated from Stanford with a B.Sc. in Mathematical and Computational Science.
Lior Gavish, CTO & Co-Founder at Monte Carlo
Lior Gavish is CTO and Co-Founder of Monte Carlo, a data reliability company backed by Accel, Redpoint, GGV, and other top Silicon Valley investors. Prior to Monte Carlo, Lior co-founded cybersecurity startup Sookasa, which was acquired by Barracuda in 2016. At Barracuda, Lior was SVP of Engineering, launching award-winning ML products for fraud prevention. Lior holds an MBA from Stanford and an MSC in Computer Science from Tel-Aviv University.
Abstract:
Do your product dashboards look funky? Do your ML models keep drifting? Are you sick and tired of running a SQL query only to discover that the dataset you’re using is broken or just plain wrong? These errors are highly costly and affect almost every team, yet they’re typically only addressed on an ad hoc basis and in a reactive manner.