Speaker: Ritesh Madan

VP Engineering @celect

Ritesh leads the Engineering team at Celect. His team is responsible for building the pDB (predictive Database) platform that provides a database like abstraction to enable predictive queries and machine learning at scale. The pDB platform powers Celect's predictive analytic applications across the two main verticals at Celect: omni-channel retail and federal intelligence. Prior to Celect, Ritesh has led enterprise grade wireless networking products at Cisco, Accelera (now PlumeWifi), and Qualcomm. He has published extensively in optimization, machine learning, and wireless networking, and is a co-inventor on 65 patents. He holds a Ph.D. from Stanford and a BS from IIT Bombay, all in Electrical Engineering.

Find Ritesh Madan 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