Lessons From Women-Led Startups: Data Observability Builds Trust at Scale

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Data observability—an organization’s ability to fully understand the health of data in its system, eliminating data downtime—has moved beyond a buzzword to become a critical part of the cloud data stack. But what do data observation and data reliability actually mean in practice? What can founders learn from using their data to move quicker and more accurately?

Join Advancing Women in Tech (AWIT) live in San Francisco or via live-stream worldwide for a founder-focused fireside chat, led by Barr Moses, Co-Founder and CEO of Monte Carlo, a leading data observation company that recently completed a $60M Series C Round and is accelerating the adaptation of trustworthy data at scale. In conversation with Nancy Wang— General Manager of Data Protection and Governance at AWS, and Founder and Board-Chair of AWIT—Barr will share her story as a pioneering woman in tech and lessons learned in bringing in new customers, creating demand for an emerging field, and what’s ahead for data observation and building data trust at-scale.

This fireside is open to all startups at any stage of growth that want to better understand why and how to implement data observability best practices for scale.