Barr Moses on How Data Observability Can Save Your Company Millions

Data Driven

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"