Powered by DHL Trend ResearchARTIFICIAL INTELLIGENCE IN LOGISTICSA collaborative report by DHL and IBM on implications and use cases for the logistics industry2018每日免费阅读行业报告1、每日星球内分享10+精品报告；2、不定时分享国际投行报告，脱水研报等；3、行业报告均为公开内容，版权归原作者所有，星球仅分享内部学习。扫描右侧二维码即刻加入【行业报告（免费） 】星球（此页只为更多需要行业报告的朋友提供便利，希望不会影响您的阅读，谢谢理解！）PUBLISHERDHL Customer Solutions & InnovationRepresented by Matthias HeutgerSenior Vice President, Global Head of InnovationDHL CSI, 53844 Troisdorf, Germany PROJECT DIRECTOR Dr. Markus Kückelhaus Vice President, Innovation and Trend Research DHL Customer Solutions & Innovation Gina ChungGlobal Director, Innovation and Trend Research DHL Customer Solutions & Innovation PROJECT MANAGEMENT AND EDITORIAL OFFICEBen Gesing, Gianmarco Steinhauer, Michel HeckDHL Customer Solutions & Innovation IN COOPERATION WITH Keith Dierkx Global Industry Leader, Travel & TransportationIBM Industry AcademyDominic SchulzVice President, Hybrid Cloud Software DACH IBM Deutschland GmbH AUTHORS Ben GesingProject Manager, Innovation and Trend ResearchDHL Customer Solutions & InnovationSteve J. PetersonGlobal Thought Leader, Travel & TransportationIBM Institute for Business ValueDr. Dirk MichelsenManaging Consultant, Watson & AI Innovation DACHIBM Deutschland GmbHSPECIAL THANKS TOAll the experts at IBM, DHL, and Singapore Management University who contributed to make this story possible.Today we find ourselves in another transformational era in human history. Much like the agricultural and industrial revolutions before it, the digital revolution is redefining many aspects of modern life around the world. Artificial intelligence (AI) plays an increasingly central role in this transformation. In recent years, AI has come roaring out of research laboratories to become ubiquitous and ambient in our personal lives, so much so that many consumers do not realize they use products and applications that contain AI on a daily basis.AI stands to greatly benefit all industries, achieving adoption leaps from consumer segments to enterprises and onward to the industrial sector. Technological progress in the fields of big data, algorithmic develop- ment, connectivity, cloud computing and processing power have made the performance, accessibility, and costs of AI more favorable than ever before. Just as the relational database found its way into core business operations around the world – providing better ways to store, retrieve, and organize information – AI is now following a similar path. It is becoming an integral part of every future software system and soon we will no longer need to call it out as AI.Already today, AI is prevalent in consumer-facing applications, clerical enterprise functions, online and offline retail, autonomous mobility, and intelligent manufacturing. Logistics is beginning its journey to become an AI-driven industry, but the future is still rife with challenges to overcome and opportunities to exploit.With this in mind, experts from IBM and DHL have jointly written this report to help you answer the following key questions: What is AI, and what does it mean for my organization? What best practice examples from other industries can be applied to logistics? How can AI be used in logistics to reinvent back office, operational, and customer-facing activities? Looking ahead, we believe AI has the potential to signi- ficantly augment current logistics activities from end to end. As in other industries, AI will fundamentally extend human efficiency in terms of reach, quality, and speed by eliminating mundane and routine work. This will allow logistics workforces to focus on more meaningful and impactful work. We think there has never been a more exciting time for collaboration between logistics and technology professionals as they enable AI in logistics. We hope you will find this an insightful read, and we look forward to working together to bring AI into your organization. Yours sincerely,PREFACEKeith Dierkx Global Industry Leader, Travel & Transportation IBM Industry AcademyMatthias Heutger Senior Vice President,Global Head of Innovation DHL Customer Solutions & Innovation PREFACE .................................................................................................................. 11 UNDERSTANDING ARTIFICIAL INTELLIGENCE ................................................ 31.1 Origin & Definition of AI ............................................................................................... 3 1.2 How Machines Learn: Three Components of AI .............................................................. 6 1.3 Trends Accelerating AI .................................................................................................. 9 1.4 Challenges & Risks ....................................................................................................... 13 1.5 Why Logistics? Why Now? ........................................................................................... 142 AI BEST PRACTICES FROM OTHER INDUSTRIES...
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