PR Newswire | September 28, 2023
Expert.ai unveiled today its "Enterprise Language Model for Insurance" – ELMI, a cutting-edge innovation in domain trained language models, set to help insurers reach their process automation and digital transformation goals with the highest accuracy. By simplifying and powering the interaction with language data within the expert.ai Platform for Insurance, Insurers can access solutions that scale and take advantage of deep insurance domain expertise combined with the best and most cost-effective attributes of Large Language Models (LLMs) to automate core processes.
Through the expert.ai Platform for Insurance, ELMI supports key capabilities, including:
Generative Summarization: generate accurate summaries, condensing vast amounts of claim or policy information into concise insights, saving time and accelerating straight through processing or human review activities.
Zero Shot Extraction: extract crucial insurance data from structured/unstructured, handwritten/typed, good quality/bad quality sources with accuracy and automatically normalize output formats and add medical annotations such as ICD 9/10 medical codes.
Generative Q&A: answer questions quickly so underwriters and claims handlers can extract meaningful insights from proprietary case files by asking questions using natural language queries.
Walt Mayo, expert.ai CEO, said: "Delivering on our commitment to innovation and higher level of efficiencies in the insurance sector, ELMI sets a new standard for AI-driven language solutions. As part of the expert.ai Platform for Insurance, ELMI equips insurers with the generative AI tools they need to automate the complex landscape of language-driven processes, while also offering substantial cost savings."
Unlike general knowledge large language models, ELMI is:
Trained for Insurance: Eliminating the cost and complexity of training language models, ELMI is engineered with a deep understanding of the insurance domain, providing insurers with generative AI capability ready to tackle underwriting and claims processing challenges.
Built for the real-world: ELMI is integrated into expert.ai end-to-end insurance solutions to meet the practical challenges of AI at scale across insurance workflows from underwriting to claims. Expert.ai purpose-built approach addresses critical shortcomings of general-purpose language models and brings the power of generative AI to improve accuracy and reduce costs.
Cost Optimized: When compared to hosted token-based models, ELMI offers a more cost-effective solution, reducing expenses related to usage, hosting, running, and maintenance, while still delivering superior performance and accuracy.
Secure and Compliant: ELMI is designed to ensure compliance with the most stringent governance standards and does not share sensitive insurance data.
Cloud-agnostic: Offering the flexibility to deploy on any cloud infrastructure or on-premises, ELMI deployments easily meet insurer's varying requirements.
For inquiries, demonstrations, or more information about ELMI, please request a demo.
Expert.ai is the leading enterprise AI company solving complex language challenges. Our solutions deliver key information for publishers, streamline operations for insurers, drive revelations for pharmaceutical giants, and enhance customer interactions within financial services – all while automating traditional labor-intensive methods. By combining deep domain expertise with the finest attributes of Large Language Models, Machine Learning, and Symbolic AI, we are at the leading edge of linguistic advancements in hybrid AI. With a global presence in Europe and North America, we proudly serve clients that include AXA XL, Zurich Insurance Group, Generali, Sanofi, EBSCO, The Associated Press, Bloomberg INDG, and Dow Jones. For more information, visit https://www.expert.ai/
Claims, Life Insurance
Genpact | November 30, 2023
Genpact a global professional services firm focused on delivering outcomes that transform businesses, announced it is working with Amazon Web Services (AWS) and Amazon Business to introduce a transformed approach to property loss replacement and claims management.
Genpact is leveraging its extensive claims management expertise as well as Amazon Bedrock generative AI capabilities and Amazon Business procurement API integrations, including pricing information, to reduce the claims submission process from weeks to days. This initiative is streamlining replacement item identification and enabling more efficient and timely delivery of policyholder estimates. Amazon Bedrock is a fully managed service that provides access to foundation models (FMs) from leading AI companies through an application programming interface (API) to build and scale generative AI applications.
"AI is fundamentally reshaping the landscape of the insurance industry,"
said Sameer Dewan, Global Operating Officer, Genpact.
Our Genpact AI-driven automated pricing workflow, powered by AWS, is transforming the research, significantly reducing the time adjusters spend investigating by as much as 75 percent. By automating routine tasks and enhancing decision making, our AI solution is empowering smarter pricing decisions, expediting claims settlements, and bringing about a profound transformation in the customer experience.
[Source - PR Newswire]
Genpact is committed to delivering measurable value to its clients through ongoing innovation. In the future, the company plans to integrate additional AI services into the automated workflow to introduce enhanced features. These include real-time summaries of market values for claimed contents and optimal action recommendations for further processing.
Genpact is a global professional services firm delivering the outcomes that transform our clients' businesses and shape their future. We're guided by our real-world experience redesigning and running thousands of processes for hundreds of global companies. Our clients – including many in the Global Fortune 500 – partner with us for our unique ability to combine deep industry and functional expertise, leading talent, and proven methodologies to drive collaborative innovation that turns insights into action and delivers outcomes at scale. We create lasting competitive advantages for our clients and their customers, running digitally enabled operations and applying our Data-Tech-AI services to design, build, and transform their businesses. And we do it all with purpose. From New York to New Delhi and more than 30 countries in between, our 115,000+ team is passionate in its relentless pursuit of a world that works better for people.
NAIC | December 06, 2023
The National Association of Insurance Commissioners (NAIC) Membership voted to adopt the Model Bulletin on the Use of Artificial Intelligence Systems by Insurers during the 2023 Fall National Meeting.
The bulletin reflects the work of the NAIC Innovation, Cybersecurity, and Technology (H) Committee, chaired by Maryland Insurance Commissioner Kathleen A. Birrane. Michael Conway, Commissioner of the Colorado Division of Insurance, and Doug Ommen, Commissioner of the Iowa Insurance Division, are co-vice chairs of the committee.
"This initiative represents a collaborative effort to set clear expectations for state Departments of Insurance regarding the utilization of AI by insurance companies, balancing the potential for innovation with the imperative to address unique risks,"
said Commissioner Birrane.
As the insurance sector navigates the complexities of AI, the NAIC's Model Bulletin on the Use of Artificial Intelligence Systems by Insurers provides a robust foundation to safeguard consumers, promote fairness, and uphold the highest standards of integrity within the industry.
[Source -PR Newswire]
The H Committee, comprised of representatives from 15 states, began drafting the bulletin in 2023 with the goal of establishing comprehensive regulatory standards to ensure the responsible deployment of AI in the insurance industry. The bulletin addresses critical issues related to the usage of AI, such as potential inaccuracies, unfair biases leading to discrimination, and data vulnerabilities.
While not a model law or regulation, the AI model bulletin serves as a guiding document, fostering uniformity among state insurance regulators regarding expectations for insurance carriers deploying AI. The bulletin comprises four key sections, each addressing crucial aspects of AI usage by insurers. It emphasizes the importance of responsible governance, risk management policies, and procedures to ensure fair and accurate outcomes for consumers.
The bulletin reminds insurance carriers that decisions impacting consumers that are made or supported by advanced analytical and computational technologies, including AI, must comply with all applicable insurance laws and regulations, including unfair trade practices. The bulletin also sets forth state insurance regulators' expectations on how insurers should govern the use of such technologies by or on behalf of the insurer to make or support such decisions, including the creation and implementation of a written AIS Program, commensurate with an assessment of the risk in accordance with the guidelines established by the NAIC's 2020 Principles of Artificial Intelligence, and to ensure that decisions impacting consumers made or supported by AI are accurate and do not violate unfair trade practice laws or other applicable legal standards. The bulletin also advises insurers of documentation that a state Department of Insurance may request during an investigation or examination.
The initial draft was presented to the working group on June 29, 2023, and subsequently exposed for public comment periods, allowing for extensive input from industry stakeholders, consumers, and legislators. The process involved two exposure periods, with the first public comment period ending on Sept. 5, 2023, and the second ending on Nov. 6, 2023. The review process also included in-person comments during the 2023 Summer National Meeting in Seattle, WA, and during the 2023 Fall National Meeting in Orlando, FL.
Significant updates were made to the model bulletin based on the feedback received. These updates addressed concerns raised during the review process, including a shift in focus toward outcomes, revisions to key definitions aligned with National Institute for Standards and Technology (NIST) standards, and updates to language on third-party contracting and testing and validation protocols.
Commissioner Birrane expressed gratitude for the collaborative efforts of the H Committee, drafting groups, and all stakeholders involved. The completion and adoption of the model bulletin mark a significant step forward in adapting regulatory frameworks to the evolving landscape of AI in the insurance industry.
About the National Association of Insurance Commissioners
As part of our state-based system of insurance regulation in the United States, the National Association of Insurance Commissioners (NAIC) provides expertise, data, and analysis for insurance commissioners to effectively regulate the industry and protect consumers. The U.S. standard-setting organization is governed by the chief insurance regulators from the 50 states, the District of Columbia and five U.S. territories. Through the NAIC, state insurance regulators establish standards and best practices, conduct peer reviews, and coordinate regulatory oversight. NAIC staff supports these efforts and represents the collective views of state regulators domestically and internationally.