IoT Integrator

Executives at Brussels Intercommunal Transport Company haven’t always given data the respect it deserves. When Rob Roemers took over as Head of Data and Analytics, his goal was to open their eyes and change their minds. Roemers defined quick-win business use cases that proved IoT data and analytics saved the organization money and made riders happy. Slowly but surely, the culture is changing as more people realize the power of data.  

Machine learning and image processing are integral to smart factories, but privacy remains a concern. A computer vision solution with integrated anonymization capabilities satisfies regulators and enables employees to better train AI models.  

For solution integrators to succeed in the wild frontier of the IoT ecosystem, they often need to start with vetted, pre-built solutions. Using repeatable solutions vs. starting from scratch can help data-driven, edge computing projects get off the ground faster–and generate value sooner. To see how that’s done, our editors checked in with an expert in AI and IoT market-ready solutions, Intel’s Rob Risany. Hear Risany’s advice for solution integrators who are grappling with the often-asked question: should we buy or build?     

An industrial mower equipped with computer vision and data analytics keeps roadsides clear of grass, while preserving insect habitats, saplings, and high-quality grass clippings. Drivers and property owners get real-time information and ecological insights.  

Smart utility grids can stabilize the power grid during times of crisis and enable better integration of clean energy solutions. Smart meters, connected grid routers, and integrated management systems can help combat prolonged power outages.  

Precision sewing machines use computer vision to drastically reduce the cost of producing garments. The robotic system brings supply chains close to the customer, enabling companies to offer on-demand manufacturing, fast fulfillment, and customized clothing, while reducing overstock and waste.  

Researchers at Franklin & Marshall College have developed a tabletop robot that can understand some forms of human expression. Using artificial intelligence and computer vision, the robot can detect through eye movement, motion, and speech patterns when a human needs guidance or assistance with a task.   

Artificial intelligence is a game-changer for wildlife conservation. Tracking wild animals in the field can be a slow and dangerous endeavor. An AI-based image identification solution enables researchers to process vast amounts of data and better understand dozens of wild species and their environment.  

Higher education enrollment has been impacted by COVID-19. Many colleges and universities are turning to chatbots to help with admissions and enrollment processes and to ease the transition to college for incoming students.  

Organ transplants are risky, and a dearth of available organs make success rates that much more critical. Artificial intelligence and cloud computing are pushing innovation in donor-matching techniques, predicting organ graft success, and reducing transplant rejection rates.