Artificial Intelligence and Machine Learning: How it’s Accelerating Change in the Automotive Industry
This powerful technological combination is going beyond just significantly altering the ways that society interacts with computers and information, but also is having a major impact on manufacturing.
In this post, we’ll examine how AI and ML are breaking new ground and creating opportunities of huge proportions in the automobile industry, primarily how the technology empowers users to read and analyze vehicle data.
By 2020, there will be a quarter billion connected vehicles on the road — Gartner
Data, Data and more..Data
The amount of data being collected is mind-blowing and is a product of the increasing numbers of connected cars IIoT-Industrial Internet of Things. Experts predict that the number of connected vehicles will exceed more than 20 billion when 2020 rolls around.
When you take a look at this accumulation of data, you’re talking about up to as much as 20 megabytes of data collected per vehicle. Cumulatively, we’re talking about a terabyte of data for every 100,000 vehicles per year.
The most paramount consequence of all these connected vehicles is the accumulation of massive amounts of data about the vehicles themselves and about the drivers who are connected. This data includes such information as speed, fuel consumption, mileage, weather, navigation, time, data and more. When you take a look at this data, you’re talking about up to as much as 20 megabytes of data collected per vehicle. Cumulatively, we’re talking about a terabyte of data for every 100,000 vehicles per year. With further IoT adoption, we’re looking at a lot more data. We’re just scratching the surface.
AI and ML Taking Automotive Back to the Future
With all this data, it’s a huge challenge and here is where AI and ML increases the value. This value will provide opportunities for everyone from manufacturers to car dealerships to utilize in ways we’ve never seen before, to increase safety, offer personalized services, market, and upsell. The possibilities are endless.
The approach deemed most efficient in processing all this data is to utilize ML algorithms. By using these algorithms, auto manufacturers can form behavioral patterns for segmented driver profiles and offer car owners customized products that fit exactly what they need not only in the car but also in their phones via tailored mobile applications..
Those that embrace the utilization of AI and ML in the automotive area are not without challenges, specifically when it comes to embedding the technology in the vehicles.
While a great number of the approaches and algorithms for ML are available, significant gains need to be made in embedding the technology. If you look at driverless cars and in-vehicle experience for instance, these systems rely on large amounts of data are just plainly too large to completely transmit.
With such mission critical data, users need to maintain the quality of timing and output are vital to ensuring safety, embedding the technology that can sufficiently handle this data flow requires advanced hardware and the connection solutions needed to deliver it.
So, as with all technologies, the cart before the horse analogy applies a bit here. There are about 500 companies in the ML automotive and mobility space that are working to solve these challenges.
One such company has an interesting take on things in the field. I know you’re going to like this insightful approach that harnesses all that data and transforms it into intelligence for vehicle inspection.
As Colin Angle, co-founder and CEO of iRobot put it: “It’s going to be interesting to see how society deals with artificial intelligence, but it will definitely be cool.”
I’d love to hear your comments about how AI/ML is changing your life. Thanks for reading and please share by simply clicking a share button.