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Put AI to work
Sep 4-5, 2018: Training
Sep 5-7, 2018: Tutorials & Conference
San Francisco, CA
mayukh bhaowal

mayukh bhaowal
Senior Director, Product Management, Salesforce

Website

Mayukh Bhaowal is a Senior Director of Product Management at Salesforce Einstein, working on automated machine learning and data science experience for use cases such as recommender systems, forecasting, etc. Mayukh received his Masters in Computer Science from Stanford University. Prior to Salesforce, Mayukh worked at startups in the domain of machine learning and analytics. He served as Head of Product of a ML platform startup, Scaled Inference, backed by Khosla Ventures, and led product at an ecommerce startup, Narvar, backed by Accel. He was also a Principal Product Manager at Yahoo and Oracle.

Sessions

4:00pm-4:40pm Friday, September 7, 2018
Trustworthiness of machine learning applications
AI Business Summit, AI in the Enterprise
 Location: Continental 7-9
Secondary topics:  Ethics, Privacy, and Security
mayukh bhaowal (Salesforce)
Machine learning is eating software. As decisions are automated, model interpretability must become an integral part of the ML pipeline rather than an afterthought. In the real world, the demand for being able to explain a model is rapidly gaining on model accuracy. Mayukh Bhaowal discusses the steps Salesforce Einstein is taking to make machine learning more transparent and less of a black box. Read more.