Tag: Innovation

At Solera, the power of our solutions lies in our hybrid approach of combining data science and repair science to accelerate the adoption of automated estimating. With repair rules configured in the technology, our solutions are able to automatically calculate repair times, identify required parts, and generate accurate costs in a way that is transparent and aligned between insurers and repairers.

DATA SCIENCE:

• Categorize images
• Detects parts, damage and severity

REPAIR SCIENCE:

• Calculates repair times
• Identifies spare parts
• Influences pre-estimate

Leveraging these two building blocks of data science and repair science reduces complexities for claimants and speeds up the overall claims cycle.

PART MATERIALS IMPACT: REPAIR V. REPLACE

If AI technology detects a medium-sized dent on the left rear side panel of an Audi TT Mk1, which is made of steel, it can determine the left rear side panel is repairable. It can also determine the necessary materials cost and associated labor.

However, if the vehicle were an Audi TT Mk2 and had the exact same level of damage, the left rear side panel would most likely need to be replaced since this model’s left rear side panel is made from aluminum.

Knowing the parts material impact upfront can completely shift the workflow—i.e.  In the Mk2 example replacement parts now need to be ordered, the vehicle will be triaged to an aluminum specialist and the repair costs and operations will be adjusted.

MODEL SELECTION IMPACT ON PART COST

Another example of repair science would be AI detecting a damaged headlight on a 2017 BMW 3-Series. The replacement cost of an LED headlamp is around $1,700, whereas the standard model’s headlamp costs $442.

And in this example, it’s not only the cost element impacted but also the reduced cycle time of ordering the correct parts as early as possible in the workflow to improve the overall customer journey.

AUTOMATING THE REPAIR PROCESS

Automating the repair estimating process is the holy grail in managing the claims cycle. But while you can teach computers to detect parts and damage through computer vision, the same cannot be said about teaching computers how to repair vehicles. That’s where Solera’s decades of experience in the car repair business, and the resulting wealth of global insights and data at a granular level, comes into play. These influences configure the systems that help calculate the repair times and costs, and ultimately position Solera’s hybrid approach of combining data science with the right repair science to accelerate automotive repair automation.

This past spring, the Solera leadership team hosted two global webinars, COVID-19: What’s Now and What’s Next and What’s Next: A Deeper Dive into Digital Transformation, discussing the future of the industry. Attendees had an opportunity to participate in a Q&A session following the webinar, and today we’re highlighting some of the questions raised.

How is Solera future-proofing technologies regarding changes in materials? What is the company doing to ensure solutions remain relevant and on point?

Leveraging the power of our repair science alongside data science is part of our future-proofing. Our approach ensures we are continuously training our solutions on the latest vehicles that come out with new technologies and unique modifications that we’ve never seen before. As a key aspect of our strategic approach to the modern claims workflow (and as part of our implementation into our customers) we have embedded a feedback loop that will continuously learn from new data coming in to the system. So, not only do we internally detect that there are things we need to look at and train further, but our customers also help us to continually learn.

As soon as we get new information, we feed it into the machine. We look at outputs and compare them to original estimates. What changed during the repair cycle? Why were the supplementaries issued? What was missed by either the system or the human? And we continue to loop and teach the machine.

What are the next use cases Solera will bring forward?

We’ve identified approximately 70 different use cases that are examples of digitalization of the claims workflow. They range from a pre-inspection prior to a claim being underwritten by the insurer to check the condition of the car, all the way through to the end of the process, during authorization and parts buying to ensure the body shop can conduct the repairs.

We’re currently focusing on our core—FNOL and estimatics—and we will build on those by bringing iterative use cases to the market. We’ve already worked it through into our solutions, and it’s going to be part of a pre-integrated approach, so we won’t ask customers to go away and build new solutions that integrate with our technology. Our strategic approach delivers value on day one.

Want to get involved in the conversation? Register for Solera’s next webinar.

In the automotive industry, we know artificial intelligence and machine learning technologies help reduce claimant complexity, speed up the claims cycle, and deliver an overall better customer experience. They can also deliver real-time results to insurers, repairers, and consumers regarding:

• Accurate, consistent and faster estimations
• Increased triage accuracy
• Automation at process of payment
• Reduction of supplementary estimates
• Faster parts ordering
• Quicker approval and/or settlements
• Early detection of total loss

And then, of course, there are self-driving cars, which rely on a continuous, uninterrupted stream of data and instructions to be autonomous.

However, it’s important to not only focus on the measured outcomes of this technology: cost, efficiency gains, speed and safety—but it’s critical to focus on how the AI accomplishes its automation of certain tasks, particularly in the automotive space where safety is key.

The human-in-the-loop approach reframes and prioritizes the human-computer interaction, in a design to build smarter systems that incorporate useful, meaningful human interaction.

It is good practice (and a necessity in the automotive industry) for A.I. and machine learning systems to always be designed with a human-in-the-loop component that can intervene when necessary—whether that be flagging something in the claims cycle or overriding a self-driving car.

At Solera, we’re building intelligent systems for humans to enable us to accomplish more in a smarter way. The human augments the technology with their expertise (or repair science, in our case), creating an unbeatable blend of human and technology.

This repair science is where future-proofing comes in. Solera continues to train our solutions as new cars come out with slightly different shapes, slightly different angles. There will inevitably be things no one has seen before—and that’s why we continue to teach the machine.

The “human in the loop” is never simply a checklist item where someone is given minimal oversight of the algorithms. One of the things we pride ourselves on at Solera is our team’s extensive and collective experience in the industry, which provides a true understanding of how the intelligent designs work in the automotive space and helps validate the output.

INTRODUCING SOLERA’S NEXT GENERATION OF QAPTER, AN INTELLIGENT END-TO-END ARTIFICIAL INTELLIGENCE AUTOMOTIVE CLAIMS PLATFORM

Leader in automotive and insurance solutions and services will deliver first globally available AI-based solution enabling end-to-end automation of the claims workflow

June 30, 2020, Westlake, Texas – Solera Holdings, Inc. (“Solera” or the “company”), a global leader in risk and asset management data and software solutions for the insurance and automotive industries, today introduced the next generation of Qapter, the company’s innovative automotive claims workflow solution driven by artificial intelligence (AI).

Solera’s patent pending AI-based technology will provide the industry’s only globally available end-to-end solution for full digitalization of the modern claims workflow. Solera has made strategic investment into core machine-learning capabilities that will radically transform the claims workflow process.

The company’s AI has the capability to detect damaged parts, determine the type and severity of damage, define appropriate vehicle manufacturer repair operations and create an estimate based on these pre-defined repair operations. Automation tools improve the process of triage claims workflow, speed up reviews of damage photos, rapidly improve identification of total loss vehicles, and support identification of the next best action for repairable vehicles. These capabilities all save time, speed up the claims process and shorten the lifecycle of a claim for insurers, body repair centers, assessors and vehicle owners.

By blending the company’s proven repair science technology with over 300 million historical claims, one billion historical images (and growing), and 50 years of experience, Solera’s best-in-class data feeds enhanced machine learning algorithms to drive efficiency and increased accuracy. This integrated approach provides superior accuracy and performance compared to rudimentary standalone simple AI image recognition point solutions that have limited repair data and provide minimal benefit in digitizing the claims process.

As noted by Darko Dejanovic, CEO, Solera, “Implementing AI will drive huge efficiency gains, but above all, the extent of such gains are determined by accuracy. This accuracy depends on the quality, not just the quantity, of the data and images that are used to train the algorithms, as well as the supporting historical damage estimate. This historical data more thoroughly trains the algorithms, not simply on the repair itself, but also on the broader context of the damage.”

The industry has already begun to evolve to meet unexpected market conditions brought on by the COVID-19 pandemic with an enhanced focus on providing digital-first and touchless claims experiences for customers which support social distancing while protecting employee and customer health and safety. As an example, Solera’s image capture capabilities allow for initiation of a claim through a fully digital interaction where the customer provides images of vehicle condition and damage directly from their phone to the insurer or repairer, eliminating the need for face-to-face interaction.

“With leading claims platforms currently available throughout North America, Europe, Latin America and Asia Pacific, we are excited to provide even more value to our customers by making current platforms ‘smarter’ through the use of AI and supporting a seamless transition from existing solutions to the new platform. We’ll be working closely with our customers to deliver this functionality over the coming months and provide regular releases across markets,” continued Dejanovic.

For more information about Solera’s approach to AI in the claims workflow with the next generation of Qapter, visit https://www.qapter.com.

BioID liveness detection automates Digidentity’s identity proofing for British government service GOV.UK Verify

Nuremberg, Germany and The Hague, Netherlands – June 17th, 2020 – German biometrics company BioID and Dutch identity provider Digidentity, part of Solera Holdings, Inc., collaborate to offer a completely automated identity proofing process to the British government. Digidentity delivers state-of-the-art, certified identity solutions with high levels of assurance complying with eIDAS, KYC and AML regulations. For fraud prevention and automation, these are supported by the anti-spoofing liveness detection technologies from long-term partner BioID.

As a certified identity proofing service provider, Digidentity verifies over 20 million identities and their technology processes more than 300 million authentications a year. Offering remote identity verification for GOV.UK Verify, Digidentity enables the British public to access a wide range of governmental services online. Among other security features, facial recognition and biometric liveness detection by BioID are used for verifying the ID ownership and deterring fraud by presentation attacks. When validating identity online, a crucial and mandatory element to preventing identity fraud is to make sure the physical and digital person are genuinely connected. Digidentity’s trusted solutions streamline the process in real-time making human intervention unnecessary in most cases.

Scaling GOV.UK Verify identity proofing during COVID-19

COVID-19 has boosted the growing need of an autonomous solution to replace physical face-to-face governmental services. To maintain public administration, remote identity verification with high levels of assurance is required for a huge number of users. Within a few weeks only, Digidentity was able to scale up its service and now can onboard more

than 400 UK identities per minute. BioID’s technology powered by its patented liveness detection allows for a fast and accurate service that can be accessed easily from any device within seconds. It only requires two selfies and an ID photo either retrieved via NFC technology, or captured using the mobile camera, to check the user’s presence in real-time and prevent identity fraud.

Next Level eIDAS, KYC & AML regulatory compliance

Trust and security do not stop at on-boarding. As a certified Trust Service Provider (TSP), Digidentity offers a full range of digital identity services that are compliant with a variety of regulations such as KYC, 5AMLD and eIDAS. BioID’s integration brings the service to the next level by means of a frictionless, automated user journey throughout the entire identity lifecycle.

Marcel Wendt, CTO of Digidentity: “We are proud to partner with BioID in supporting GOV.UK Verify during this unprecedented situation in completing critical remote identity verification. We offer organisations an easy and secure way to verify their users. Part of the verification is the ‘selfie check’ where we check if the selfie sent to us is the same as the photo on the chip of the ID document. By working together with BioID, we can further automate this process, providing a face-to-face level of assurance with liveness detection and making sure the person on the other side is really who they say they are with facial recognition.”

About BioID

BioID offers liveness detection, facial authentication & identity verification as a Service. With 20 years of experience its special focus is on biometric anti-spoofing Made in Germany. In line with this, the company’s facial authentication service offers data privacy and security by design. BioID is guided by the vision to enable software based biometric verification – with any device, for any application. The privately held company with R&D based in Germany has proven its technology through many years of use at enterprises, banks and government organizations.

About Digidentity

Digidentity is a global online identity verification company, combining smooth usability with government-grade security. Digidentity is part of Solera Holdings, Inc., a global leader in risk and asset management data and software solutions for the insurance and

automotive industries. Last year alone, Digidentity’s technology processed over 300 million authentications and protected the digital identity of more than 20 million people globally.  It makes online identification easier, quicker, and more secure. We enable safe digital communication between individuals and government – both in the United Kingdom and The Netherlands – and are continuously developing new and improved services. Our rigorous approach to privacy and security means that not even Digidentity employees will be able to access your data.