Ep 23 : Digital Transformation Through Digital Twins - Dr. PG Madhavan (IoT Digital Twin, Causality, Data Science) )

Advanced as they may be, modern analytics systems fall short of enabling the complete digital transformation of manufacturing enterprises.​For example, instead of only detecting symptoms of impending machine failure, what would be more valuable would be to determine the actual cause of failure.​Causal Machine Learning, a recent advance in ML holds the problem to solve this problem.​To understand how it can be applied in Digital Twins to enable complete digital transformation for manufacturers, I had a conversation with Dr. PG Madhavan.​PG has deep expertise in Data Science and extensive experience in advanced analytics development, both in industry and academia.​Below is the outline of our conversation:​✅ Enthusiasm about Digital Twins Today✅ Why Predictive Maintenance is not the Killer App for IIoT✅ What is the central purpose of a Digital Twin?✅ Challenges in Integrating Digital Technologies for DT Realisation✅ Role of Industrial IoT in Digital Twins✅ Machine Learning Methods in Digital Twins✅ Application of Root Cause Analytics Method in DTs✅ Application of Causality in Industrial IoT Data✅ Key Steps to Digital Transformation in Manufacturing✅ Manufacturing Digital Transformation through Digital Twins✅ PyWhy, an open-source repository of AWS & Microsoft joint work in Causality for machine learning.✅ Systems Analytics Solutions