
AI image by Vilkasss | Pixabay.com
These days, there is no shortage of exploration when it comes to smart technologies, including AI, in the production process. In fact, just about every piece of machinery can produce some form of data for the producer’s use … if only they know what to do with it.
“The volume of available data isn’t the problem,” said Alex Douglas, client development director at Pulsant. “The real challenge is knowing which datasets are critical, processing them fast enough and where that needs to happen. Without that clarity, the system becomes clogged and expensive, especially if cloud usage scales without control.”
Log in to view the full article
Subscribe to Magazine



















