Enabling AI in Open and Multi-Cloud Platform

We retrace Google’s journey from data to mobile to AI first. Along the journey we trace the evolution of AI at Google such as TFX and YouTube WatchNext recommendations. Next we discuss advanced topics of AI currently underway at Google. We discuss how AI is implemented in the Google Cloud followed by a few industry applications such as AI First grocery and AI recommendations. Finally, we present a method to automatically deploy ML workloads to an AI pipeline on the cloud.

Chanchal Chatterjee, Ph.D, held several leadership roles in machine learning, deep learning and real-time analytics. He is currently leading Machine Learning and Artificial Intelligence at Google Cloud Platform. Previously, he was the Chief Architect of EMC CTO Office where he led end-to-end deep learning and machine learning solutions for data centers, smart buildings and smart manufacturing for leading customers. Chanchal received several awards including Outstanding paper award from IEEE Neural Network Council for adaptive learning algorithms recommended by MIT professor Marvin Minsky. Chanchal founded two tech startups between 2008-2013. Chanchal has 29 granted or pending patents, and over 30 publications. Chanchal also has a book titled Adaptive ML algorithms with Python. Chanchal received M.S. and Ph.D. degrees in Electrical and Computer Engineering from Purdue University.