Prediction is at the core of running an efficient supply chain. Whether it’s forecasting demand or the weather, prediction enables our vastly complex supply chains to operate in real-time and deliver on customer’s needs. However, the current state of the art in machine learning relies on past patterns and correlations to make predictions of the future- which makes it prone to fail under distribution shifts.
Our CEO, Dr. Darko Matovski speaks in a panel alongside David Marmor, Senior Data Scientist, Unilever; Gregory Brown, Chief Engineer/Scientist for ATG Systems Engineering, UPS; Juan Ojea, Head of Research Group – Senior Director of R&D engineering, Siemens and Kermit Threatte, Director – Operations Research, Wayfair.
