IoT for BigMachines

The emergence of IoT creates several opportunities—such as data acquisition from devices, edge computing, complex event processing, and cloud analytics—for developers at different levels. The session includes Overview of Predix, GE’s IoT Cloud, Architecture and Demo. Best Practices of developing a Predix IoT Cloud application, and finally close off with an overview on how we can use a general purpose analytics such as anomaly detection on IoT cloud and scale it up for multiple industrial assets to provide insights about the big machines.

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 Director of Engineering, JT lead development and launched IoT/Machine Learning Platform for GE Digital, Prior to GE Digital,  JT worked in various leadership and engineering positions at 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.