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.
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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.
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Causal Machine Learning, a recent advance in ML holds the problem to solve this problem.
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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.
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PG has deep expertise in Data Science and extensive experience in advanced analytics development, both in industry and academia.
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Below is the outline of our conversation:
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✅ 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