Daniel Gruessing is an expert in applied artificial intelligence with over 10 years of experience in the retail sector. They began coding artificial neural networks for forecasting at the e-commerce pioneer Otto in 2007 and later served as a Junior Controller at the same company from 2008 to 2009. Currently, as a Principal Solution Advisor at Blue Yonder, they focus on implementing AI solutions that drive sustainable retail practices, having previously held roles as AI Solution Director and Principal Consultant. Daniel holds a diploma in Business Informatics from Georg-August-Universität Göttingen, earned in 2008.
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