Arvind Jain, Glean: On using AI to surface knowledge

Rapid advancements in AI are heralding a new generation of powerful tools—including the ability to quickly surface knowledge across a business.

Glean, a firm established by Google search engineers and other industry veterans, possesses considerable expertise in this area.

AI News caught up with Arvind Jain, CEO and Founder of Glean, to hear more about how the company is using AI to surface workplace knowledge and supercharge productivity.

AI News: Can you...

14 April 2023 | Applications

QuEST partners with NVIDIA to deliver next-gen AI solutions in Japan

QuEST has extended its partnership with NVIDIA to accelerate the digital transformation of Japanese businesses with next-gen AI solutions.

NVIDIA named QuEST an Elite Service Delivery Partner in the NVIDIA Partner Network (NPN) back in June.

Through NPN, QuEST has early access to NVIDIA platforms, software, solutions, workshops, and technology updates. The previous agreement only covered the USA but NVIDIA has now extended the collaboration to Japan.

Masataka...

26 October 2021 | Companies

Sebastian Santibanez, SoftServe: On helping enterprises successfully use AI in their digital transformations

AI News spoke with Sebastian Santibanez, Associate Director of the Advanced Technologies Group at SoftServe, about how the company is helping enterprises to successfully use AI in their digital transformations.

AI News: What work do you do in the artificial intelligence space? 

Sebastian Santibanez: We understand that the truly successful data-minded organizations are very fluid in their definition of AI and SoftServe has embraced this fluidity by thinking of AI...

3 September 2021 | Enterprise

Fujitsu develops AI to detect product abnormalities during manufacturing

Fujitsu has developed an AI which can highlight abnormalities in the appearance of products to help detect issues earlier.

Catching problems during production enables intervention before materials are wasted—incurring direct and environmental costs. It also saves on the reputational damage and costs associated with returns/recalls after a defective product is shipped to customers.

The solution uses an AI model trained on images of products with abnormalities. These...

29 March 2021 | Manufacturing