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InfoQ Homepage Presentations Building an AI in the Cloud

Building an AI in the Cloud

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Summary

Simon Chan shares the on-going challenges ML SaaS platforms face when developers try to build customized large-scale predictive applications on production environments. He talks about the ML platform product design dilemma, the difference between building A.I. in a lab and on production, and the steps to build an end-to-end Machine Learning solution, from data sourcing to live monitoring etc.

Bio

Simon Chan is a serial entrepreneur and product innovator. Recently, he joined Salesforce as a Senior Director. He was the founding CEO of PredictionIO - an open source Machine Learning Server that empowers programmers and data engineers to build smart applications. PredictionIO has become the most popular Spark-based machine learning project on Github.

About the conference

Software is changing the world. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

Recorded at:

Oct 02, 2016

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