Taming Data Quality in AI-Enabled Industrial Internet of Things

Sagar Sen,Erik Johannes Husom,Arda Goknil,Simeon Tverdal,Phu Nguyen,Iker Mancisidor

IEEE Software（2022）

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摘要

We address the problem of taming data quality in artificial intelligence (AI)-enabled Industrial Internet of Things systems by devising machine learning pipelines as part of a decentralized edge-to-cloud architecture. We present the design and deployment of our approach from an AI engineering perspective using two industrial case studies.

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