Speaker "Saurabh Thapliyal" Details Back



Industrial Digital Twins – Concept, Value and Approach


Industrial companies are realizing that to thrive they need to optimize their operations, improve lagging productivity, and develop innovative new business models. Many industrial companies underestimate the complexity of connecting the physical and digital worlds, operating without a platform, methodology, or approach. What’s needed is a new way to build apps optimized for understanding physical assets. Digital twins build the bridge from the physical to the digital worlds, providing understanding of each unique asset over time. They combine IoT data from asset sensors, asset contextual data, physics-based models and sophisticated distributed machine learning models for a constantly improving digital model of industrial components, assets, processes and even entire plants.


Saurabh Thapliyal is a Data Science Leader with GE Digital and is working on machine learning capabilities for the GE Predix platform. He has extensive experience with leading data science product development and customer engagement projects in the Industrial IoT and supply chain domains. Prior to GE, Saurabh lead the development of advanced inventory and supply chain optimization products at Oracle. He holds a PhD from the University of Notre Dame.