________________________________________________________________________________________ Artificial intelligence
■ Component AI : AI that ’ s been targeted to solve a specific problem for a specific process in the manufacture of a product – for example , using computer vision to do a visual inspection
■ Systemic AI : AI that provides value across a system , like optimizing a production line , typically using multi-variant or multi-modal inputs
* A third kind of AI , General AI , promises to plug into a data lake of messy and unstructured data and magically find insights . This is , at least for now , still science fiction .
Component AI has been around a long time , but Systemic AI is what ’ s next . “ At Instrumental , our Systemic AI focuses on product quality and efficiency . We ’ ve seen customers leverage AI as their global quality system of record , proactively discovering new issues , accelerating operator training , and preventing escapes . They have saved millions of dollars with double-digit return on their investment ,” Anna says . Efficiency is something every manufacturing organization can get on board with – but how to get started ?
In Anna ’ s experience , companies who take the following four steps in roughly this order best set themselves up for success :
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