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AI Bibliography

AI Bibliography

WIKINDX Resources  

Gesing, B., Peterson, S. J., & Michelsen, D. (2018). Artificial intelligence in logistics. A collaborative report by DHL and IBM on implications and use cases for the logistics industry. Troisdorf: DHL Customer Solutions & Innovation. 
Resource type: Journal Article
BibTeX citation key: Gesing2018
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Categories: Artificial Intelligence, Cognitive Science, Computer Science, Data Sciences, Decision Theory, Engineering, General, Mathematics
Subcategories: Analytics, Autonomous systems, Big data, Cloud computing, Forecasting, Human factors engineering, Internet of things, Machine learning, Psychology of human-AI interaction, Robotics
Creators: Gesing, Michelsen, Peterson
Publisher:
Collection: A collaborative report by DHL and IBM on implications and use cases for the logistics industry. Troisdorf: DHL Customer Solutions & Innovation
Attachments  
Abstract

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.


  
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