Cognitive Computing

Auto Industry Turns to Cognitive to Redefine Vehicle Safety

Share this post:

My first car was a ’65 Chevy Impala, which I bought from my uncle. The engine was in bad shape so within the first week, I swapped it out with one I bought from the local junk yard. It was a pretty simple car – manual transmission, manual windows and locks, no air and an AM/FM radio.

Despite what might seem like limited features today that Impala handled nicely and I felt safe and confident on the road.

But a lot has changed over the past 50 years and the car features that once enticed, like horsepower and handling, have been replaced by connectivity and convenience. Onboard technologies have transformed cars into computers on wheels. Fed by thousands of apps and data flows, these new insights allow auto companies to develop completely new customer experiences. From connected to self-driving, today’s vehicles are evolving from a mode of transport to also serve as a new kind of moving data center with onboard sensors and computers that capture information about the vehicle.

Extending the power of cognitive to the vehicle transforms the driver and passenger experience. For instance, with new data insights the car is now a guide on the road that can inform the driver when they are low on fuel and where the nearest petro station is; deal with car diagnostics such as reporting issues and understanding the car’s new features; or proactively communicate where an available parking space is located.

Cognitive computing also ensures that with all of these new features, automakers and suppliers are creating safe interactions inside and outside the vehicle. Just as I wanted to feel safe and confident in my first car, the same holds true today especially as technology becomes more prevalent and a potential distraction to the driver.

To understand the potential impact of cognitive computing on the industry, IBM analyzed responses of 500 auto industry executives worldwide who participated in our recent cognitive computing study. The Cognitive Effect on Automotive,” developed by the IBM Institute for Business Value (IBV), reports cognitive technologies will address important top-of- mind consumer concerns, like safety.

Seventy percent of automotive industry executives worldwide said cognitive technologies will have a significant impact on vehicle safety and the ability to save lives due to accidents caused by human error. In addition, 69 percent of respondents indicated that consumer data security and privacy will be significantly improved with cognitive computing.

By merging digital business with a new level of digital intelligence, automaker will be able to introduce a new level of safety and security to customers. For example, with cognitive computing, automakers can address potential safety issues before an accident occurs by using advanced analytics that apply natural language processing to capturing and analyzing unstructured and structured data. The data reveals patterns and correlations between safety issues and root causes, allowing the automaker to find problems exponentially faster and more accurately. 

At the IAA New Mobility World in Frankfurt on September 12-15, IBM will demonstrate how our combined strength in manufacturing and depth of global automotive expertise can address consumer concerns about safety and quality.

More Cognitive Computing Stories

Bringing Cognitive to Bear in the Fight Against Poaching in South Africa

I’ve always wanted to be a large-animal vet. As a child, I was caretaker to Russell, the Dutch rabbit, two guinea pigs named peanut butter and jelly, more than 100 rats, mice and more blue-belly lizards than my long-suffering, but supportive mother could count. I’ve always felt a connection to animals and though my path […]

Continue reading