AI technologies such as machine learning have become an industry standard for supply chain forecasting and planning. However, the recent global pandemic, geopolitical situation and climate change caused unprecedented disruptions that challenge even the savviest supply chain leaders. In this webinar, Prof. Devavrat Shah, Director of the Statistics and Data Science Center at MIT and CTO & co-founder of Ikigai Labs, talks about how AI and data can help you reduce variability and optimize inventory levels. In this webinar, Prof, Devavrat explained three innovative technologies and demonstrate their application to real-world supply chain problems, specifically: - How multivariate time series forecasting helps predict demand when large sets of historical data are not available - How to use reinforcement learning to optimize your supply chain operations for your desired business outcomes - What is aiMatch and how it helps stitch together data from any sources
Watch VideoAI technologies such as machine learning have become an industry standard for supply chain forecasting and planning. However, the recent global pandemic, geopolitical situation and climate change caused unprecedented disruptions that challenge even the savviest supply chain leaders. In this webinar, Prof. Devavrat Shah, Director of the Statistics and Data Science Center at MIT and CTO & co-founder of Ikigai Labs, talks about how AI and data can help you reduce variability and optimize inventory levels. In this webinar, Prof, Devavrat explained three innovative technologies and demonstrate their application to real-world supply chain problems, specifically: - How multivariate time series forecasting helps predict demand when large sets of historical data are not available - How to use reinforcement learning to optimize your supply chain operations for your desired business outcomes - What is aiMatch and how it helps stitch together data from any sources
Co-Founder and CTO of Ikigai Labs & Professor of Data Science at MIT Prof. Devavrat Shah successfully combines academia and entrepreneurship. He is a professor and a director of Statistics and Data Science Center at MIT. He co-founded Celect, a predictive analytics platform for retailers, which he sold to Nike. Devavrat holds a Bachelor and PhD in Computer Science from Indian Institute of Technology and Stanford University, respectively
