Most people assume AI’s most interesting deployments are in futuristic tech, and the $12T manufacturing industry is fully automated. Both assumptions are wrong.
https://drishti.com/wp-content/uploads/2019/08/header-ai-manufacturing-2.jpg4441000Dave Pragerhttps://drishti.com/wp-content/uploads/2019/06/drishti-logo-2-1.pngDave Prager2019-08-09 09:55:102019-08-12 22:11:27Why work in manufacturing? Four reasons why factories are AI's future.
What makes technology cool? To Drishti, it means arming manufacturers with a solution that provides new insights.
https://drishti.com/wp-content/uploads/2019/06/AssemblyLineSM.jpg201350Prasad Akellahttps://drishti.com/wp-content/uploads/2019/06/drishti-logo-2-1.pngPrasad Akella2019-06-28 09:38:552019-06-28 09:45:43What being a Gartner “Cool Vendor” means to me
For years before I came to Drishti, I worked in finance and trading, a field where literally every decision is driven by numbers and data. With data driving the entire industry, the quality of data was critical for professional application.…
https://drishti.com/wp-content/uploads/2019/05/gecko.png6091071Sameer Guptahttps://drishti.com/wp-content/uploads/2019/06/drishti-logo-2-1.pngSameer Gupta2019-05-30 11:12:022019-06-21 10:07:03The data outlier that wasn’t: Going beyond a normal world
To realize the promise of artificial intelligence, manufacturers need to bypass the lab. Go live, test, measure and be realistic about what the technology can do.
https://drishti.com/wp-content/uploads/2019/03/shutterstock_566888527.jpg27324038Prasad Akellahttps://drishti.com/wp-content/uploads/2019/06/drishti-logo-2-1.pngPrasad Akella2019-03-13 07:01:072019-06-19 11:43:35The secret to effective AI deployments: The real world
Manufacturers have access to more data than ever. More data paints a more accurate picture, and manufacturers can leverage that data to draw better conclusions.
https://drishti.com/wp-content/uploads/2019/03/shutterstock_679364806.jpg44806720Sameer Guptahttps://drishti.com/wp-content/uploads/2019/06/drishti-logo-2-1.pngSameer Gupta2019-03-05 12:53:472019-06-21 10:41:34From 10 to 10,000: More data paints a more accurate picture
Using technology, plant managers can stop using the genba to gather data, and instead use it to address issues based on the data already available.
https://drishti.com/wp-content/uploads/2019/01/shutterstock_361870010.jpg36845520Prasad Akellahttps://drishti.com/wp-content/uploads/2019/06/drishti-logo-2-1.pngPrasad Akella2019-01-22 10:20:222019-06-19 11:43:36How AI and data amp up the traditional genba
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