Commentary: Understanding the data issues that slow adoption of industrial AI - FreightWaves

The views expressed here are solely those of the author and do not necessarily represent the views of FreightWaves or its affiliates. In this installment of the AI in Supply Chain series (#AIinSupplyChain) we explore the topic of industrial artificial intelligence (industrial AI), building most directly on Commentary: The enabling technologies for the factories of the future, Commentary: The enabling technologies for the networks of the future and Commentary: Will auto companies bring blockchain into real-world supply chains first? Manufacturing is a central aspect of industrialization. It is the creation of finished goods for sale to end-use customers, starting with raw materials, and using various scientific processes -- chemical, biological, engineering, in combination with labor. Manufacturing, and activities closely related to manufacturing, play a central role in the concept of industrial AI.