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Work item:
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L.Suppl.42 (ex L.Suppl.ee_ml_scm)
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Subject/title:
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Guidelines on the Environmental Efficiency of Machine Learning Processes in Supply Chain Management
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Status:
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Agreed on 2021-05-20
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Approval process:
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Agreement
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Type of work item:
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Supplement
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Version:
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New
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Equivalent number:
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-
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Timing:
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-
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Liaison:
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-
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Supporting members:
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Telecom Italia
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Summary:
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This Supplement provides guidelines on the environmental efficiency of machine learning (ML) processes in supply chain management. This guidance document is intended to support machine learning researchers and operators to measure and improve the environmental efficiency of ML, and other emerging technologies (e.g. Blockchain, Big Data, 5G, …) use in supply chain management.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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| ITU-T A.5 justification(s): |
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First registration in the WP:
2021-05-31 14:12:56
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Last update:
2021-07-15 17:20:07
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