STANLEY X, the Innovation hub of Stanley Black & Decker, announced a partnership with DeepHow, the first AI solution to train and transfer knowledge among skilled workers.
As a partner, Stanley Black & Decker will use DeepHow’s innovative AI platform in its up-skilling programs. This high-tech platform called “Stephanie” will improve knowledge capture, increase training efficiency, and help grow the culture of safety at the company. Stanley Black & Decker will also help bring DeepHow’s AI platform to its existing customer base and scale its adoption, focusing on manufacturers, contractors, trade schools and unions.
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“There is a tremendous opportunity to help our customers minimize the disruption caused by employee turnover,” said Kevin Lemke, VP of Strategy for Stanley Black & Decker’s Innovation Group. “DeepHow is the only AI knowledge transfer system for the skilled trades, and we view it as an integral part of the ecosystem we are beginning to build.”
“Our team is very excited to bring on Stanley Black & Decker as our go-to-market partner,” says Dr. Sam Zheng, CEO of DeepHow. “We think about manufacturing and construction as prime opportunities for our AI-powered knowledge capturing and learning platform, given the aging workforce and skilled labor shortage. Because of Stanley Black & Decker’s strong positions across the tools and storage, security and industrial markets, this partnership will greatly accelerate innovative uses for DeepHow to help their customers find solutions to business challenges.”
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Established in 2018, DeepHow bridges the skills gap challenge in manufacturing, service, and construction industries through an AI-powered knowledge capturing and learning platform. While experts perform their individual tasks and processes, DeepHow captures their workflow via a mobile app. Using the latest AI technologies, this captured data is extracted and synthesized, turning complex workflows into step-by-step, how-to videos. Not only does the AI platform seamlessly capture and organize expert knowledge, but it also delivers just-in-time information to workers in multiple languages, making knowledge digitalization highly efficient and scalable across the enterprise.
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