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Meta Data Science: When all the world's data scientists are just not enough — Chalenge Masekera (Salesforce)

What if you had to build more models than there are data scientists in the world? Well, enterprise companies serving hundreds of thousands of businesses often have to do precisely this. In this talk, I'll describe our general purpose machine learning platform that automatically builds per-company optimized models for any given predictive problem at scale, beating out most hand tuned models.


Chalenge Masekera is a data scientist at Salesforce, where he builds machine learning models and analytics tools that enable real time monitoring of system infrastructure, machine learning models and executive dashboards ensuring scalable machine learning pipelines. Previous experience also includes business intelligence consultancy. He has a Masters in Information Management and Systems from the University of California, Berkeley.

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