Augment, Don’t Automate
October 20, 2020
10am - 11am PT
The future of informed decision making is augmenting analysis, not automating it. Machines are good at detecting anomalies and alerting humans to investigate them, but can’t draw insights and make decisions. A future where high-level decision making is automated by AI is not here yet. Human reasoning is still a key component of critical business decisions.
The founders of Mode and Sisu will discuss why the future of analytics should not be about replacing humans, but about helping us move faster through proactive analytics. They’ll also discuss the mindset of making informed decisions and the tools and structures needed to do it quickly.
Topics we’ll cover
- How you can augment human reasoning
- How a modern data stack will augment analytics
- Where AI and analytics is headed
About the Presenters
Peter Bailis is the founder and CEO of Sisu, the fastest and most comprehensive diagnostic platform for structured data. Peter is also an assistant professor of Computer Science at Stanford University, where he co-leads Stanford DAWN, a research project focused on making it dramatically easier to build machine learning-enabled applications. He received his Ph.D. from UC Berkeley in 2015, for which he was awarded the ACM SIGMOD Jim Gray Doctoral Dissertation Award, and holds an A.B. from Harvard College in 2011, both in Computer Science.
Benn is the co-founder and President of Mode. Prior to Mode, Benn was an analyst at Microsoft and Yammer, where he helped lead product analytics. Benn also worked as an economic analyst at the Carnegie Endowment for International Peace in Washington, DC.
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