We built DSx on the basis of our own experience as data scientists and in my case, as an analytics executive. The pain points we experienced guide which use cases we focus on, and these use cases have largely resonated with our customers. However, and very much to our surprise, customers are finding new and unexpected ways to use DSx to solve their particular pain points. In this talk we’ll outline both the expected and unexpected ways that customers use DSx to solve their day-to-day challenges.
Luis is currently the senior offering manager for IBM’s Data Science Experience (DSx), IBM’s award-winning platform that helps data scientists be better data scientists by offering them the tools, content and collaboration to become more productive. His vision for the product is shaped by his past life as a VP, Analytics for a large cable company, as a McKinsey consultant, and as a tech entrepreneur and engineer in Silicon Valley. He has an MBA and an BSEE from Stanford University.