Sep 23–26, 2019

Jari Koister
Vice President, Product and Technology, FICO

Website | @jarikoister

Jari Koister is the vice president of product and technology at FICO. He also teaches in the Data Science Program at UC Berkeley. Previously, he has, among other things, led the development of Chatter, Salesforce’s social enterprise application and platform; founded and served as CTO at, an early social enterprise collaboration company (acquired by Salesforce); founded and served as CSO and CTO at, an elastic platform for broadcasting sports events live on the internet; led the development of CommerceOne’s flagship product MarketSite; and led research in computer languages and distributed computing at Ericsson Labs and Hewlett-Packard Laboratories. Jari holds a PhD in computer science from the Royal Institute of Technology, Stockholm, Sweden.


2:55pm3:35pm Wednesday, September 25, 2019
Location: 1A 12/14
Secondary topics:  Financial Services
Jari Koister (FICO )
Machine learning and constraint-based optimization are both used to solve critical business problems. They come from distinct research communities and have traditionally been treated separately. But Jari Koister examines how they're similar, how they're different, and how they can be used to solve complex problems with amazing results. Read more.
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