Speaker: Mayukh Bhaowal

Director of Product Management @Salesforce

Mayukh Bhaowal is a Director of Product Management at Salesforce Einstein, working on automated machine learning. 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.

Find Mayukh Bhaowal at

2019 Tracks

  • ML in Action

    Applied track demonstrating how to train, score, and handle common machine learning use cases, including heavy concentration in the space of security and fraud

  • Deep Learning in Practice

    Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.

  • Handling Sequential Data Like an Expert / ML Applied to Operations

    Discussing the complexities of time (half track) and Machine Learning in the data center (half track). Exploring topics from hyper loglog to predictive auto-scaling in each of two half-day tracks.

    Half-day tracks