Learn how a Japanese industrial electronics company used real-time insights into its production process to speed up manufacturing and increase throughput. Using artificial intelligence, edge computing and data analytics, Daihen Corporation and FogHorn Systems worked together to eliminate 5,000 hours of manual process and effectively double the Osaka plant’s output.
U.S. brick and mortar banks are competing with start up European digital-only banks for a better, faster customer experience.
AirShepherd and University of Southern California doctoral student Elizabeth Bondi is helping wildlife rangers stop poaching. But her team is faced with a challenge common in the data science and machine learning space: accurate labeling.
Real-time data insight isn’t just fueling race car performance—it’s pushing the boundaries of modern medicine.
When construction excavation goes deep on the University of Illinois Chicago campus, a team of data scientists, mapmakers, and engineers show up to look into the hole so regularly that they have their own hardhats and safety gear.
Text therapy and virtual clinicians are becoming more prevalent, delivering treatment in new, easier-to-access ways.
Machine intelligence is essential for success in the digital future. According to a 2017 study by management consultancy Bain, the IIoT market will generate approximately $85 billion annually by 2020.