Task orchestration in AI is a term used in the fields of artificial intelligence, automation, industry and Factory 4.0 to describe how various tasks that are to be solved by an AI are intelligently planned, coordinated and controlled.
Imagine robots working in a modern factory that are controlled by an AI. A decision has to be made as to which robot takes on which task and when - for example, assembling a product, checking its quality or packaging it. Task orchestration ensures that these tasks are divided up logically and run smoothly without any bottlenecks or waiting times.
The advantages are clear: with intelligent task orchestration, companies can organise their processes faster, more efficiently and often more cost-effectively. At the same time, it helps to avoid errors and react flexibly to unexpected changes.
In short: task orchestration in AI ensures that humans and machines work hand in hand so that the entire process functions optimally - similar to a conductor leading an orchestra to harmonious interplay.
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