3 ways IBM Watson IoT transforms manufacturing


Cognitive manufacturing, driven by IBM Watson IoT, transforms manufacturing processes in 3 ways

1. Intelligent asset and equipment

Intelligent asset and equipment uses the power of IoT and analytics to sense, communicate and self-diagnose issues of manufacturing equipment. This means problems can be resolved more quickly to reduce downtime by up to 47%

2. Cognitive processes and operations

Cognitive processes and operations allow organisations to analyse the information that comes from the IoT data gathered around workflow processes and other operations, to improve quality, yield and throughput. Using these processes and operations, the defect rate of manufactured products reduces by up to 48%.

3. Smarter resource and optimization

Smarter resource enables the optimization of resources such as workers, energy and expertise. It takes the IoT data and intuitively determines where resources can be optimized, leading to a cost reduction of up to 50%.

How does IBM Watson IoT work?

It’s simple. Manufacturers connect their equipment using sensors or existing systems to collect the IoT data. This data is then sent to the Watson IoT platform so the user can visualize it using dashboards and begin to see patterns.

Once patterns have been identified, manufacturers can then use the insights gained to produce analytical models to make predictions and pre-emptive actions and recommendations.

Watson’s cognitive capabilities then come into play, to refine the analytical models and predictions, and use speech, videos or images to diagnose complex problems.

See more about how IBM Watson IoT can help your customers transform by watching the video and find out how you can get started with IoT managed services here.

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