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Ashok Bardhan is a consultant and advisor to a number of data analytics, finance and technology firms, to a large public pension fund, and is co-founder of Bubble Technologies. He has led and guided teams of data scientists, engineers and statisticians in solving a very wide range of business problems. Previously, he was with the Reserve Bank of India. He was Senior Economist at the Haas School of Business, UC Berkeley. His research and publications span a range of subjects including management issues of globalized innovation; automation and future of work; urban and regional development; housing, housing finance and the financial crisis; trade and technology linkages between US, China and India. He combine causal inference augmented AI/ML with econometrics for informed decision-making. Machine learning techniques do not lay great store by causal, structural models built on underlying behavioral relationships and motivations. Data analytics is full of domain-blind applications of ML to business problems, with no reference to explainability, the underlying data generating process or microeconomic principles, resulting in non-interpretable, spurious and biased results. Combining ML with Econometrics, i.e. statistics informed by insights from economics brings new perspectives to modern data science. In this video, Dr Vijayender interacted with Professor Ashok Bardhan.