David Poulsen, CutCableToday's IT expert, says connected, or autonomous, vehicles, are attractive because of the technologies that undergird them. "The Internet of Things (IoT) is one part of the equation," Poulsen explains. "The other part is artificial intelligence (AI). It acts as the driver, helping the connected'thing,' which could be a vehicle or inventory system, make smarter decisions." As applied to transportation management, that automated decision-making ability is critical.
Key Points: – AI already impacts many aspects of our daily lives at work and at home – Over the next decade, AI enterprise software revenue will grow from $644 million to nearly $39 billion – Here are the top 10 ways that we predict AI will impact business over the next decade including vehicular object detection, predictive maintenance and intelligent recruitment. Artificial intelligence already impacts many aspects of our daily lives at work, at home and as we move about. Over the next decade, analyst firm Tractica predicts that annual Global AI enterprise software revenue will grow from $644 million in 2016 to nearly $39 billion by 2025. Services-related revenue should reach almost $150 billion. These functional areas are applicable to many use cases, industries, and generate benefits to both businesses and individuals.
If Chinese search giant Baidu is going to fulfill its dreams of building a self-driving car platform, it needs maps accurate enough that vehicles can safely get from point A to point B. Thankfully, it has a solution: the company has just forged a partnership with the state-backed ride-hailing service Shouqi. Baidu will supply Shouqi with the tools it needs for both its existing business and driverless cars, including map services, its Apollo autonomous platform and its conversational AI platform DuerOS. In return, Shouqi will supply Baidu with high-precision maps. It's no secret as to why Baidu is signing a deal like this: it's making a big bet on self-driving technology, and it doesn't have much time to fulfill some of its promises. The company wants to start producing autonomous self-buses in 2018, and it expects mass production of Level 4 (that is, almost entirely self-driving) vehicles with BAIC Group in 2021.
This week at the Intel Shift Conference in New York, I had the opportunity to listen to my colleague Amir Khosrowshahi, CTO of the Intel AI Products group, speak to a gathering of business executives about the transformative impacts of AI. Amir explained how artificial intelligence (AI) can change what organizations do and how they do it, creating new business opportunities. Every company is in some phase of their AI adoption course: evaluating and understanding the opportunities, testing AI use cases and its outcome on their business, or fully integrating AI systems that are increasingly driving business metrics. AI concepts have been around for more than 60 years, but we now have the technology to make AI a reality. AI is predicated on the simple idea that with the right training a computer can simulate human decision making.
After announcing plans this month to supply self-driving vehicles for Lyft's ride-hailing network, the autonomous tech developer has scored financial backing from Southeast Asian rideshare powerhouse Grab and plans to expand into Singapore. Singapore office will study that market as a potential place to deploy vehicles equipped with its software and self-driving hardware kits in government and business fleets, Tandon said. Amid the rush by auto and tech firms to perfect robotic vehicles, Tandon and his co-founders, who were all researchers from Stanford University's Artificial Intelligence Lab, founded Drive.ai to specialize in deep learning-based driving software for business, government and shared vehicle fleets. Small relative to well-funded programs at Waymo, General Motors' Cruise, Uber's Advanced Technology Vehicle Group and Ford's Argo AI, Mountain View, California-based Drive.ai has made quick progress.
German automaker Daimler AG's trucks division said it would test a new technology called'platooning' on U.S. roads, allowing large digitally-connected trucks to save fuel by driving closely together, with one vehicle following the other. In truck platooning, connectivity and automated driving improve safety within the vehicle convoys, support drivers and enhance efficiency with closer distances between the connected trucks, the company said. In the Daimler tests, V2V is connected to the trucks' various electronic driver aids, including adaptive cruise control, lane-keep assist, and autonomous emergency braking. In truck platooning, connectivity and automated driving improve safety within the vehicle convoys, support drivers and enhance efficiency with closer distances between the connected trucks, the company said.
In the near future, your pizza, Big Mac, and groceries could all be delivered autonomously. The California Bureau of Cannabis Control recently declared that weed deliveries cannot be made by autonomous vehicles -- that includes UAVs and unmanned self-driving cars. "Transportation may not be done by aircraft, watercraft, rail, drones, human-powered vehicles, or unmanned vehicles," according to the bureau's business licensing regulations. As Ars Technica points out, the likes of MDelivers, Eaze, Trees Delivery have all promised to autonomously deliver your pot.
Wired reports that Google Street View cameras are getting an upgrade for the first time in eight years, which will mean clearer images in the consumer-facing Street View product, as well as better color rendering – but the camera upgrade is more important to Google as a way to help improve its mapping info. The refined Street View hardware captures HD images from all sides, and can provide raw data to feed image recognition algorithms, potentially offering key data for maps and business information including place names, opening hours, methods of payment accepted and more – all of which is often displayed prominently in shop windows. Google's machine learning and AI investment means it can do a lot with higher resolution imaging data from its Street View camera cars, its engineers tell Wired. The new Street View cars started capturing imagery on the roads last month, and will gradually roll out to more spots around the world.
But the AA warned a'platoon' of HGVs could obscure road signs for motorists and block access to slip roads. Transport minister Paul Maynard (pictured) said: 'We are investing in technology that will improve people's lives' The Government has provided £8.1million for the trials, which are expected to take place on major roads by the end of 2018. Transport minister Paul Maynard said: 'We are investing in technology that will improve people's lives. Advances such as lorry platooning could benefit businesses through cheaper fuel bills and other road users thanks to lower emissions and less congestion.
"We're developing self-driving technology because the world is changing rapidly," Sherif Marakby, the company's vice president of autonomous vehicles and electrification, wrote in a Medium post Tuesday morning. Marakby further opened about Ford's plans to develop self-driving cars. "We plan to develop and manufacture self-driving vehicles at scale, deployed in cooperation with multiple partners, and with a customer experience based on human-centered design principles," he wrote. "Our team has decades of experience developing and manufacturing vehicles that serve commercial operations such as taxi and delivery businesses.