Barr Moses on How Data Observability Can Save Your Company Millions
On this episode of Data Driven, we welcome Barr Moses, CEO and co-founder of Monte Carlo, as she delves into the fascinating world of data observability.
Join hosts Frank La Vigne and Andy Leonard as they explore how reliable data is crucial for making sound business decisions in today's tech-driven world. Learn why a simple schema change at Unity resulted in a $100 million loss and how Monte Carlo is developing cutting-edge solutions to prevent similar disasters. From discussions on ensuring data integrity to the intriguing potential of AI in anomaly detection, Barr Moses shares insights that might just redefine your understanding of data's role in business.
Tune in for a podcast that not only uncovers the nuances of data reliability but also touches on the quirky side of tech, like why, according to Google, you should never use superglue to fix slipping cheese on your pizza.
Moments
00:00 Monte Carlo: Data Reliability Innovator
05:45 "Data & AI Observability Engineering"
09:42 Data Industry's Growing Importance
12:00 Cereal Supply Chain Data Optimization
16:03 Data Observability and Lineage
19:29 GenAI Uncertainties and Latency Concerns
23:17 "Human Oversight in AI Accuracy"
24:12 Data Observability and Human Role
28:01 Adapting to Customer Language
33:29 Data and Security Management Alignment
35:20 Data Reliability and Observability Challenges
38:17 Automated Code Analysis Tool Launch
42:29 Data-Inspired Childhood
44:12 Passionate About Impactful Work
48:52 LinkedIn Security Concerns Highlighted
53:19 "Data Observability Insights"
