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Selecting an Intelligent Document Processing Solution

AIIM

Intelligent document processing (IDP) solutions are emerging that combine AI with IDP to revolutionize client and document onboarding and processing.

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New York Department of Financial Services addresses cybersecurity risks from artificial intelligence

Data Protection Report

On October 16, 2024, the New York Department of Financial Services (“NYDFS” or “DFS”) issued guidance raising awareness about combatting cybersecurity risks arising from artificial intelligence (“AI”) used by DFS licensees, such as insurers and virtual currency businesses.

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New York Department of Financial Services Issues Guidance Regarding Life Insurers’ Use of External Consumer Data in Underwriting

Data Matters

On January 18, 2019, the New York State Department of Financial Services (NYDFS) issued Circular Letter 2019-1 (the Circular Letter), addressing insurers’ use of external consumer data and information sources in underwriting for life insurance. Unlawful Discrimination.

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Predictions for the financial services industry in 2024

OpenText Information Management

We’ve experienced economic, geopolitical, technological, and societal challenges over recent months with the ongoing cost-of-living crisis, high interest rates, inflation, global conflicts, catastrophic weather events, the rise in artificial intelligence such as ChatGPT, to name only a few.

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NYDFS issues significant guidance on insurers using AI or external data

Data Protection Report

On January 17, 2024 the New York Department of Financial Services (“NYDFS”) published a Proposed Insurance Circular Letter (“Proposed Circular”) regarding the use of artificial intelligence systems (“AIS”) and external consumer data and information sources (“ECDIS”) in insurance underwriting and pricing.

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Top financial services trends of 2024

IBM Big Data Hub

The start of 2024 brings forth many questions as to what we can expect in the year ahead, especially in the financial services industry, where technological advances have skyrocketed and added complexities to an already turbulent landscape. One example of this is in insurance.

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How generative AI delivers value to insurance companies and their customers

IBM Big Data Hub

Insurers struggle to manage profitability while trying to grow their businesses and retain clients. Large, well-established insurance companies have a reputation of being very conservative in their decision making, and they have been slow to adopt new technologies.