How manufacturers can push past the AI tipping point

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Industrial adoption of enterprise AI is at a tipping point. Early adopters have seen tangible benefits such as improved product quality and asset maintenance, but the wider manufacturing sector has been slow to take full advantage of AI. What’s holding back progress?

One element missing is AI-ready data infrastructure. Industrial AI needs to know when and where production events happen— for example, to track scrap metal on its journey to becoming a finished coil of steel as it moves through a mill. Thus, the journey to a smart factory requires a complete rethinking of how information is captured from sensors on manufacturing equipment.

This whitepaper explores a new AI infrastructure that provides the storage and reliability critical to the adoption of enterprise AI in your manufacturing business. Download it now to step towards a smart factory.


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