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There are big opportunities to use AI (artificial intelligence) in healthcare. Consider the example of deep vein thrombosis, which is a condition that occurs when blood clots develop in veins, in legs, and block blood flow, and impacts up to 300,000 Americans every year. In severe cases, these clots can become dislodged and travel to either the heart or lungs, causing stroke, heart attack, or pulmonary embolism. Historically, detection takes place via a duplex ultrasound performed by a trained vascular technologist or sonographer in a designated ultrasound lab. But now AI can help during point-of-care—and some hospitals are beginning to move to this method. As one example, at Allegheny General Hospital, AI has helped detect deep vein thrombosis in cardiac patients. Here AI-powered ultrasound technology can be used to diagnose deep vein thrombosis, from point-of-care images captured by a clinician using a handheld scanner and smartphone. Here is how this can help: Clinicians can capture images of veins in the exam room or at the bedside. Improve patient outcomes by speeding up detection. Address the healthcare worker shortage by giving tools to any healthcare staff rather than just sonogram-trained technicians. Throughout the clinical trial, workers at Allegheny General Hospital will use both the traditional method and the AI method and they will compare and assess the validity of the technology. This hospital joins two others nationwide that are also participating in this clinical trial. The trial will finish and publish its results later this year in preparation for subsequent FDA…

The services sector has been having a hard time finding labor ever since the disruption caused by the COVID-19 pandemic, and the subsequent Great Resignation—or as the U.S. Chamber of Commerce actually calls it: the Great Reshuffle. The leisure and hospitality industry has experienced the highest quit rates of all industries, with the accommodation and food services subsector of this industry experiencing a quit rate consistently around or above 4% since July 2022. Restaurants are short of servers and cooks. Assisted living facilities need nurses. Amusement parks need summer staff. The list goes on and on. Enter robots. As one example, RobotLAB is developing robots for multiple industries, including restaurants, hotels, assisted living facilities, manufacturing, education, hospitality, healthcare, retail and more. Through partnerships with companies such as LG Electronics and SoftBank Robotics, as well as major hospitality chains such as Hilton, Marriott, Disney, and Universal Studios, robots are helping improve the services sector. Of course, this is only one example. There are so many cases of robots coming to market to help fill in the labor market gaps that exist in many industries, including the services sector. Here is how robots can help in the services sector: Help with food delivery in restaurants. Deliver supplies, linens, and more in hotels. Prepare foods. Clean restaurants, hotels, and more. Mow properties at service facilities. Perform inventory management. Entertain and communicate in museums and exhibitions. Provide customer service and concierge at hotels. Do check-out at stores. Help with customer service in call centers. Serve as police patrol. Attracting—and retaining—workers to these industries is harder than it has ever been before. And while the hiring rate is picking back up, service industries cannot exist without in-person work. Or can they with the help of robots? But keep in mind the only way this will be successful is if man and machine team up and work together to provide better service for…

The opportunities gen AI (artificial intelligence) brings to most industries are significant—dare we say remarkable? But let’s be clear, there are still some challenges. For example, most LLMs (large language models) are trained on publicly available data and the vast majority of enterprise data remains untapped, and much work needs to be done to address this. And again, dare we say address this sooner, rather than later? Enter Granite 3.0, IBM’s third-generation Granite flagship language models, which was announced earlier this week at IBM’s second annual TechXchange event. By combining a small Granite model with enterprise data, especially using the…

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We have come a long way with safety. If you journey back to the year 1960 and walked a construction jobsite, you would see very different work conditions than you see today. Hard hats were not mandatory yet and PPE (personal protective equipment) wasn’t the common three-letter jobsite acronym that it is today. Workers would be hanging from the top of buildings, with little gear to protect them. We have certainly come a long way, right? Yes and no. The reality is every year, one in 100 construction workers still get hurt bad enough to need time off work. We…

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