Augmented Analytics, the Remedy for Too Much Data
By adopting an augmented approach to analytics, businesses will finally be able to make use of the rich, wide data they collect changing “too much data” …
Peter Bailis is the founder and CEO of Sisu, the fastest and most comprehensive augmented analytics 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.
By adopting an augmented approach to analytics, businesses will finally be able to make use of the rich, wide data they collect changing “too much data” …
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