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"