Using AI and Small Data to Achieve Big Production Value

 

Today’s AI solutions are maximizing efficiency, minimizing product defects, and eliminating wasted inventory for companies worldwide. In this episode of Q-Cast by Quality Magazine, Dongyan Wang, our VP of AI Transformation, sat down with the host Darryl Seland to talk about how AI technology is able to utilize small data sets to help companies quickly capture a wide variety of product anomalies, and dynamically update defect books for real-time training. Take a listen.

Dr. Dongyan Wang is the VP AI Transformation at Landing AI. Prior to Landing AI, Dr. Wang served as senior executive for multiple Fortune Global 500 enterprises such as Midea Group, NetApp, and Cisco, leveraging artificial intelligence, data science and blockchain technologies to lead strategic enterprise-wide transformation initiatives. He has also served as the COO of Grand Intelligence, a technology consulting company, and Chief AI Officer of a Blockchain + AI startup. Dr. Wang holds a PhD in Electrical Engineering and Computer Science. He holds more than 10 granted US granted US patents, 10+ international patents, and 30+ pending patents.