Predicting Reliability Of Industrial Machines Using Machine Learning (Internet of Things Applications USA 2018)

Mr Jayant Thomas, Director/Head of AI and Machine Learning
Veritas Technologies LLC
United States
 

プレゼンテーション概要

The session includes an overview of Predictive models used to compute the reliability score of an industrial machines using various different input sources such as events, cases , telemetry data and to provide a set of recommended actions. We will also cover details of operationalizing the algorithm at scale.

講演者の経歴 (Jayant Thomas)

Jayant Thomas (JT) has more than 19 years of expertise in software development and has a passion for machine learning and cloud native applications at scale. In his most recent position as Head of AI & Machine Learning, JT leads AI efforts at Veritas and launched AI/Machine Learning Platform for Veritas Storage Cloud, Prior to Veritas, JT worked in various leadership and engineering positions at GE Digital, Oracle , AT&T and Bevocal developing SaaS/Cloud/Mobile applications. JT is a M.Tech graduate from NIIT along MBA from UC Davis, CA and has more than 12 patents in the NLP processing and cloud architectures.

会社紹介 (Veritas Technologies LLC)

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