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Executives Exploring AI Need to Understand Data Fabrics

Logistics Viewpoints

In the supply chain arena, the need to make course corrections is exploding. They may not handle the complex data types encountered on the edge, which are often unstructured, time-sensitive, and critical for real-time decision-making. Frederic Laluyaux, the CEO of Aera Technology, agrees with this assessment.

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Getting Started with AI in Supply Chain

Logistics Viewpoints

Some try delving into deep learning or a crash course in generative AI (GenAI), but I don’t recommend starting there. The data feeding AI is dynamic, so data handling must be adaptive, to monitor changes automatically and orchestrate and adjust as needed. Getting started with AI in supply chain might not start where you think.