Artificial Intelligence (AI), which is used in fleet management, dramatically improves the efficiency of transportation companies. Combining machine learning and AI, AI uses data from driver learning patterns to make tailored predictions. Barrett Young, SVP of Marketing at Netradyne shares how fleets can harness technology to improve and automate their decisions, increase driver safety and decrease vehicle downtime. Transport companies have started to realize the benefits of Artificial Intelligence. This includes reducing risk in the cab and the road, managing costs better and improving compliance.

For once we can say that Tesla really has reinvented a wheel. For its newest Model S sedans and Model X SUVs, the carmaker dropped the traditional circular steering wheel in favor of what it's calling a "yoke." This yoke is rectangular and reminiscent of what you might see in a jet or a racecar. Tesla CEO Elon Musk indicated that the company made the change because, "Yet another round wheel is boring & blocks the screen," adding that Tesla's "Full Self-Driving" function--controversial due to safety concerns--"in panoramic mode looks way better with a yoke." Consumer Reports recently published a harsh review entirely focused on the Model S yoke, noting that the organization's test drivers found the steering apparatus to be hard to hold on to and awkward to maneuver.

The insurance industry is a competitive sector representing an estimated $507 billion or 2.7 percent of the US Gross Domestic Product. As customers become increasingly selective about tailoring their insurance purchases to their unique needs, leading insurers are exploring how machine learning (ML) can improve business operations and customer satisfaction. The greatest opportunities seem to lie, perhaps unsurprisingly, in claims and underwriting. No other sources have taken a comprehensive look at the impact of AI among the leading insurance companies in the U.S. We researched this sector in depth to help answer questions business leaders are asking today: This article aims to present a comprehensive look at the four leading insurance companies and their use of AI. Our "top 4" rankings are based on the National Association of Insurance Commissioners' 2016 ranking of the top 25 insurance companies.

Artificial intelligence (AI) is finding a home in many applications, from industrial automation to autonomous vehicles. Perhaps its most personal impact, however, is when the AI must interact with humans in providing information and services. For human interaction, the next trend for AI to embrace is the addition of emotional intelligence. When the Amazon Echo first came out in 2014, I viewed it as a perfect example of an IoT device. It required a minimum of onboard hardware capability, achieving most of its impressive capability in understanding and responding to human speech by using cloud-connected resources.

As the DeLorean rolled to a stop and the cloud of tire smoke cleared, Jon Goh peeked out the sliver of the passenger-side window to see dozens of gathered spectators cheering and high-fiving the successful test. The crowd, and anticipation, had built throughout the afternoon, while Goh, a recent mechanical engineering Ph.D. graduate from Stanford, had been outlining a kilometer-long obstacle course in traffic cones at Thunderhill Raceway in Northern California. The sun was setting fast, but Goh and his co-pilot, another grad student named Tushar Goel, couldn't wait until morning to take a shot at the twisty course. Besides, MARTY, the driver, didn't need to see the track--it needed only GPS coordinates and the algorithms on Goh's laptop to chart its path. MARTY is a 1981 DeLorean that Goh and his colleagues at Stanford's Dynamic Design Lab converted into an all-electric, autonomous drift car.

Driver turnover has been above 90 percent for more than nine consecutive quarters and shows little sign of slowing down. What's more is that issues related to management and workplace policies and communication have caused 30 percent of drivers to leave their job. Keeping your drivers safe, recognizing them for doing the right thing, and offering a solid feedback loop are key to increasing driver engagement -- and retention. If the people who drive your products from one place to another do not feel like you have taken extra measures to keep them safe, then they will leave for jobs that do. Where does this leave you? The more drivers you lose, the more difficult it will become to transport your products.

The high frequency of road accidents makes driver safety one of the biggest challenges facing Fleet Management each day. In the US alone, 6 million car accidents every year happen every year, with more than 40,000 motor vehicle accident-related deaths in 2017. Several factors come into play when looking at the cause of traffic accidents. It could be the weather, changing road conditions, or the fault of other road users such as another driver or pedestrian. Apart from the risks posed by accidents to drivers, companies face significant losses when such accidents and traffic violations occur.

Driver turnover has been above 90 percent for more than nine consecutive quarters and shows little sign of slowing down. What's more is that issues related to management and workplace policies and communication have caused 30 percent of drivers to leave their job. Keeping your drivers safe, recognizing them for doing the right thing, and offering a solid feedback loop are key to increasing driver engagement -- and retention. If the people who drive your products from one place to another do not feel like you have taken extra measures to keep them safe, then they will leave for jobs that do. Where does this leave you? The more drivers you lose, the more difficult it will become to transport your products.

The Robotics Summit and Showcase is just a couple months away. Find out all about our agenda here and register by April 20 for a 20% discount to learn from the best in the robotics industry. Affectiva Automotive AI hopes to improve driver safety. Artificial intelligence (AI), to date, has helped autonomous vehicles mainly by monitoring the world around them. As we learned from the fatal Uber self-driving car crash, unfortunately, the technology is not perfect.

Big data, or the data processed on a large scale by analytical tools, is crossing industries to generate new and improved technological processes. In fleet management, this means benefits to maintenance, driver safety, and overall profits. For a bottom line capable of surviving any economic conditions of the present and near-future, big data-powered tech can help fleet management companies thrive. The integration of these data tools have already proved their worth in the industry, and the future only looks brighter. Here, we'll explore just how big data is being utilized by the fleet management industry to produce better solutions in maintenance, safety, and financial outcomes.