DECEMBER 2017CIOAPPLICATIONS.COM6DECEMBER - 2017SUPPLY CHAINSPECIALCopyright © 2017 ValleyMedia, Inc. All rights reserved. Reproduction in whole or part of any text, photography or illustrations without written permission from the publisher is prohibited. The publisher assumes no responsibility for unsolicited manuscripts, photographs or illustrations. Views and opinions expressed in this publication are not necessarily those of the magazine and accordingly, no liability is assumed by the publisher thereof.Volume 02 - 47Published by ValleyMedia, Inc. To subscribe to CIO ApplicationsVisit www.cioapplications.com Graphics & ArtJohn ConnorDeclan ColeRenukesh GangurSalesMaria Fernandezmaria@cioapplications.comMailing Address:ValleyMedia, Inc.44790 S. Grimmer Blvd Suite 202, Fremont, CA 94538T: 510-974-2083EditorialRevamping SCM SpaceJoe PhillipManaging Editoreditor@cioapplications.comJoe PhillipSupply chain management landscape has undergone a sea change in the 21st century--by embedding product and process innovation in supply chain operations and consciously managing and shaping customer demands. Gartner predicts that by 2020, up to 26 billion internet-connected `smart' devices will be installed to significantly alter the supply chain operations. Unlike previous generations of passive sensors, the IoT will allow a supply chain to control the external environment and execute decisions. Technologies like Artificial Intelligence (AI) and Machine Learning (ML) are dominating the supply chain trends lists, as they significantly impact supply chain operations today. At the core of artificial intelligence is the ability to simulate human intelligence, specifically learning, which includes the acquisition and classification of information, reasoning, and finding insights into the data. AI is therefore a natural fit for supply chain, as it standardizes supply chain data and delivers end-to-end predictive visibility to drive efficient inventory management, profitability, and differentiated customer service. Machine learning is also reinvigorating the supply chain management space by helping businesses improve both supply chain planner efficiencies and make better or optimized supply chain decisions. Some examples of machine learning include demand forecasting, price forecasting and more.The future of supply chain management looks bright with the arrival of new and advanced technologies. In this scenario, our goal is to help enterprises navigate the complexities in the market. The edition features a list of leading vendors in the supply chain management space along with insightful articles from thought leaders. We believe this edition will help you in evaluating and formalizing strategies for your organization.Let us know your thoughts.Managing EditorJoe PhillipAssistant Managing EditorSaheli Roy ChowdhuriSenior WritersBanu JohnRoyce D'SouzaLeah JaneEditorial StaffBanu JohnDaniel HolmesEzra BenjaminJames SmithNaomi DaleRohit Chowdhary*Some of the Insights are based on the interviews with respective CIOs and CXOs to our editorial staff
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