MAKING AI WORK

[...]building capability on numerical data-Layer 1-is foundational. While the audience for this strategy might initially be a data science professional, who is becoming part of supply chain team, we believe this is useful for supply chain professionals who intend to make cognitive technology a core...

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Bibliographic Details
Published inSupply Chain Management Review Vol. 24; no. 2; pp. 22 - 29
Main Authors Krishnan, T S, Gupta, Damini
Format Trade Publication Article
LanguageEnglish
Published Framington Peerless Media 01.03.2020
Subjects
Algorithms
Artificial intelligence
Automation
Bills of lading
Data science
Ng, Andrew
Supply chain management
Supply chains
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Summary:[...]building capability on numerical data-Layer 1-is foundational. While the audience for this strategy might initially be a data science professional, who is becoming part of supply chain team, we believe this is useful for supply chain professionals who intend to make cognitive technology a core capability that can be implemented across multiple projects, processes and products. Examples would include transaction data of multiple stores collected over a single day or the event log data of multiple pieces of equipment such as forklifts, conveyor belts and automated guided vehicles collected at the same time. Sentences follow no set pattern and information presented in successive sentences vary considerably. [...]writing style changes between authors.
ISSN:1521-9747