When athletes and organizers descend on Tokyo for the 2020 Olympic Games, they'll be ferried around in autonomous cars, while torch relay runners will be accompanied by AI-equipped cars. Robots will ferry javelins and hammers. All told, Toyota Motor Corp. will provide 3,700 vehicles, including dozens of self-driving cars, about 500 fuel-cell vehicles and 850 battery-electric cars to the international sports competition. As a top sponsor of the Tokyo Olympics and an automaker facing a murky future when gasoline-powered engines will fade away, Toyota is doing everything it can to market its transition into an eventual provider of on-demand transportation for consumers and businesses, instead of being merely an industrial manufacturer. "We want to use the Olympics and Paralympics that happen every two years as a milestone," Masaaki Ito, general manager of Toyota's Olympic and Paralympic Division, said in an interview.
In the interview, Ms. Huang relates some interesting patterns she has observed with regards to AI adoption. The sorts of companies BMW iVentures is seeing and investing in are primarily using AI to focus on streamlining workflows, optimizing processes, and reducing overall costs. Since AI holds the ability to analyze complex datasets and identify data patterns very quickly, it can provide fast results and identify very specific needs or circumstances without necessarily relying on a team of people who need to try to process more than they can reliably count on. Already, AI has managed to identify trends that have helped to innovate the ways that companies do business, by providing customized customer interactions and identifying needs for clients. The biggest struggle with data, particularly in the automotive industry where the actual process of taking customer feedback and turning that into a future product can take several years, is ensuring that the data being referenced is still relevant.
According to the Automotive Council UK (ACUK) "… in the East Midlands and Yorkshire… Over a third of automotive manufacturers produce components. Read more: Mark Casci: Can cannabis save the high street? A quarter produce commercial vehicles, one fifth are aftermarket suppliers." In June 2017, the ACUK's report "Growing the Automotive Supply Chain: Local Vehicle Content Analysis" found "…cars manufactured in Britain are becoming more British…" A main reason quoted in the report was "the parts sourced by UK car manufacturers from UK first-tier suppliers has increased from 36 per cent in 2011, to 44 per cent in 2017." This is of course great news for the UK – but we would be foolish to ignore the advancements in technology, including artificial intelligence (AI) and how it has infiltrated a large part of our lives, domestically, commercially and politically.
The automotive industry isn't just being driven by people -- it's also driven by data, particularly as automobile manufacturers move toward autonomous, self-driving vehicles. Last year, Waymo cars drove 1.2 million miles in California. Meanwhile, Tesla, with its Autopilot program, is actively collecting data from hundreds of thousands of vehicles to predict how its cars might perform autonomously. So far the company has collected hundreds of millions of miles worth of data. What are these autonomous vehicle manufacturers doing with all of that data?
Jaguar Land Rover is trailing an in-car system that changes temperature, music and lighting in response to a driver's mood. The system gauges a driver's mood with a driver-facing camera and biometric sensing, and adjusts the heating, ventilation and air conditioning, media and ambient lighting to help tackle stress and tiredness. "Personalisation settings could include changing the ambient lighting to calming colours if the system detects the driver is under stress, selecting a favourite playlist if signs of weariness are identified, and lowering the temperature in response to yawning or other signs of tiring," the company said. The systems uses AI to get to know the owners moods better over time, Jaguar Land Rover added. "In time the system will learn a driver's preference and make increasingly tailored adjustments," the company said.
From Aliens' Caterpillar P-5000 Work Loader (that's the "Power Loader" to you and I) through the Combat Jackets from Edge of Tomorrow to Tony Stark's Iron Man armor, science fiction is full of cool assistive robot exosuits. But real life is catching up with sci-fi. With one-time imaginary concepts like delivery robots, self-driving cars, rockets that land vertically and A.I. assistants all part of our lives to some extend, how much longer until wearable robots are everyday occurrences as well? Not long, if any of these amazing wearable robot projects have anything to say about it. A lot of the best robot exosuits in movies and video games are designed with military application in mind.
Driving a Tesla might be the closest thing we have to driving a car from the future… But turns out, thieves are not really into them, or electric cars in general. A Tesla vehicle reportedly burst into flames on the side of a Russian highway over the weekend after colliding with a tow truck, once again raising safety concerns over the automaker's semi-autonomous driving system known as Autopilot. This comes on the heels of other accidents involving Tesla vehicles on Autopilot crashing into stationary cars on the road. Reuters reported on Sunday that the Tesla Model 3 driver told local media that Autopilot was active during the crash. The driver, identified as Alexei Tretyakov, also said he was still holding the steering wheel when the incident occurred.
In the first part of our review of AI technologies and current trends, we already talked about RPA, computer vision, and chatbots. In this article, we will talk about data collection and processing of the received information to improve the effectiveness of marketing, etc. Both marketers and business owners know John Vanamemaker's phrase: "I know that half of my advertising budget is wasted, but I don't know which one." With new AI-based technologies for data collecting and analyzing it has finally lost its relevance. The marketing department will no longer have a hard time putting together the entire sparse array of customer information for its reports of the advertising campaigns effectiveness: why people leave any page of the site, why they refuse to buy a product or service.
To drive, or not to drive, that is the question. In recent years, autonomous driving has emerged as a key mobility trend. For some, self-driving vehicles are the future -- a future in which drivers are freed from the burden of driving to make better use of their time while traveling. At Porsche, on the other hand, we regard human driving as a privilege: Porsche stands for performance, perfect handling and pure driving pleasure. That's why our customers want to drive their car themselves.
In the future, cars will be electric. People who use them might never own them, but share them instead. The auto industry is going through massive change -- and Tesla and its outspoken CEO, Elon Musk, are seen as the great disruptors. But as Ford CEO Jim Hackett pointed out during a recent interview for CNN Business' The Table with Poppy Harlow in Detroit, his company caused, arguably, the biggest industrial disruption of the entire 20th century. And he's not about to let anyone else take away that legacy.