Digital Supply Chain Transformation: Implementing Technology, Analytics, and Data-Driven Solutions delves into the intricate world of supply chain management, emphasizing the role of digital transformation in modern supply chains. Through a blend of theoretical learning and practical applications, readers will gain a deep understanding of foundational supply chain principles while exploring emerging trends and technologies reshaping the industry. Topics such as system dynamics modelling, machine learning, artificial intelligence, and end-to-end visibility will be explored in-depth, equipping readers with the tools and knowledge needed to excel in the rapidly evolving landscape of supply chain management. There is a growing recognition that supply chain management can be significantly improved by leveraging modern technologies, such as machine learning and generative AI, to enhance efficiency and accuracy. Digital Supply Chain Transformation: Implementing Technology, Analytics, and Data-Driven Solutions helps readers:
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Dr. Vinaytosh Mishra is an Associate Professor for Healthcare Management (Management, Digital Health, and Heath Analytics) at the College of Healthcare Management and Economics, Gulf Medical University, Ajman (UAE). He has more than 14 years of experience in industries like Healthcare, EdTech, Finance, and Information Technology. He was instrumental in making a diabetes specialty clinic into a fifty bed multi-specialty clinic in his tenure at Aaroha Healthcare (P) Ltd. In his last Assignment as Associate Professor at FORE School of Management, New Delhi he was program director for two successful long duration programs namely "Building Intelligent Healthcare Analytics" and "PGPM in Healthcare Management and Analytics". He is also a certified Diabetes Educator and Green Belt in Lean Six Sigma. He has also successfully filled a patent for a device for early detection of diabetes using nailfold capillaroscopy. His research interests include AI in Healthcare, Chronic Disease Care, Healthcare Supply Chain Management, Health Economics, Medical Tourism, Health Technology Assessment, and Digital Health.
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