Anadolu Insurance is using IBM technology for assessing its auto claims – specifically, the IBM Watson Visual Recognition service.

On average, Anadolu reviews around 1200 vehicle damage files each day. Manually checking each file was a slow and tedious process, but – with 63 percent contradicting the amount of described damage – it’s a vital operation.

Mehmet Abacı, Deputy Chief Executive Officer of Anadolu Insurance, said:

“Insurance is one of the primary industries that are affected by technological developments the most. As the largest and long-established company of Turkey, we are also a leader in the use of technology.

We want to reduce the analysis and repair processes to a few hours by using artificial intelligence in analysis of minor damages in our customers’ vehicles. Before that, we also performed such work and managed to pay our customers for minor housing damages such as glass breakage within five seconds. Now we have also started to use artificial intelligence technology in auto insurance more efficiently.

IBM Watson is helping Anadolu’s customers take optimal photos of their damaged vehicle. Affected parts are identified along with the scope of the damage for the AI to determine whether the parts need repair, replacement, or further expert consultation.

Volkan Sözmen, IBM Turkey Country General Manager, comments:

“We are proud that our long-standing collaboration with Anadolu Insurance has acquired a new dimension with this project. IBM Watson’s visual recognition capabilities will greatly contribute to making Anadolu Insurance’s processes more efficient and hassle-free for its customers.

We believe that this project will not only help the insurance industry gain new momentum, but also change the course of the digital transformation journey.”

Experts from Anadolu Insurance are working alongside IBM’s data scientists to train Watson with the language associated with damages and auto parts; such as buffer, door and mud-guards.

The insurance claims solution is expected to launch for contracted auto repair shops in the second half of this year.

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Pegasus is powered by four high-performance AI processors. It couples two of NVIDIA’s newest Xavier system-on-a-chip processors — featuring an embedded GPU based on the NVIDIA Volta architecture — with two next-generation discrete GPUs with hardware created for accelerating deep learning and computer vision algorithms.

Level 5 represents fully autonomous vehicles which do not even have a steering wheel or gas pedal for manual control. This will require significant power to process all the required operations quickly.

“Creating a fully self-driving car is one of society’s most important endeavors — and one of the most challenging to deliver,” said Jensen Huang, NVIDIA founder and CEO. “The breakthrough AI computing performance and efficiency of Pegasus is crucial for the industry to realize this vision.”

“New types of cars will be invented”

NVIDIA claims its Drive PX Pegasus solution is able to deliver more than 320 trillion operations per second. The company’s previous self-driving car supercomputer, the Nvidia Drive PX 2, was around 13 times slower.

Building a fully autonomous Level 5 self-driving vehicle requires thousands of sensors including high-resolution, 360-degree cameras. The position of the vehicle must be calculated within centimeter accuracy to ensure safety. NVIDIA estimates the computing demands of driverless vehicles to be up to 100 times more intensive than the most advanced cars today.

Autonomous vehicles are set to be a huge industry in the coming years and NVIDIA is rapidly positioning itself as a leader in the space. Of the 225 partners developing on the NVIDIA DRIVE PX platform, more than 25 are developing fully autonomous robotaxis using NVIDIA CUDA GPUs.

“Driverless cars will enable new ride- and car-sharing services. New types of cars will be invented, resembling offices, living rooms or hotel rooms on wheels,” continues Huang. “Travelers will simply order up the type of vehicle they want based on their destination and activities planned along the way. The future of society will be reshaped.”

NVIDIA believes fully autonomous will have a drastic impact on people’s lives. Millions of hours, it claims, of ‘lost time’ will be recaptured by would-be drivers being able to work, play, eat, or even sleep on their daily commutes. Safety, meanwhile, will improve — with fewer accidents caused by fatigued, distracted, or impaired drivers.

Pegasus will be available to NVIDIA automotive partners in the second half of 2018.

What are your thoughts on NVIDIA Pegasus?

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