This powerful AI-based platform applies intelligence to raw human performance data, providing instant actionable insights through easy-to-assess outcomes and form factors. The use of AI and Computer Vision has limitless applications and is currently automating nearly every industry sector.  

Today’s decision-makers have many reasons to focus on industrial robot maintenance. Some of them want to reduce the downtime associated with unplanned outages. Others understand that keeping robots well-maintained is a proven way to prolong their useful life spans. Those are valid reasons. However, safety should be the single factor driving all decisions made about robot maintenance.

How do employers monitor the health and safety of personnel without encroaching on their privacy and productivity? What’s more, how do you ensure they’re wearing the proper protective gear at all times and also check that they’re utilizing safety protocols and utilities appropriately? The answer lies with wearable devices. 

Businesses can achieve maximum success during the holiday season by utilizing AI and automation in their retail shipping operations. The holiday season is critical for companies, but the increased sales often come with shipping headaches. Luckily, artificial intelligence (AI) and automation provide key solutions for simplifying shipping for businesses and customers.

Business leaders leverage artificial intelligence and machine-learning advancements to stay compliant, keep workers safe, and reduce costs

Industry 4.0 has arrived, which means machine shop owners and managers of large manufacturing concerns are all looking at their options for bringing about their own transformation. But what functionality does smart factory equipment really offer? And what types of equipment are worth the price of adoption?

Is there an algorithm to predict the likelihood of an individual sustaining an injury? More than one. Types of software are on the market that can predict specifically who is at greatest risk.

You might recall last year the fatal accident involving a self-driving Tesla. It reinforced the need to be vigilant even as we are assured (or assure ourselves) that “the machine will handle it.”