Today we are talking to Peter, the CEO and Co-Founder of Sisu Data. And we discuss the process of going through product market fit, creating an open environment that promotes individual creativity, and how even bad products can gain traction if the problem is big enough.
All of this, right here, right now, on the Modern CTO Podcast!
Peter Bailis is the founder and CEO of Sisu, the fastest and most comprehensive diagnostic analytics platform. 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.
We’re building a new kind of software that empowers people to make better decisions with data. Sisu’s continuous analytics platform helps you understand every factor driving your business metrics using all of your data, in real time.