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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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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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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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The U.S. Office of the Comptroller of the Currency Seeks Comment on Digital Innovation by Banks

Data Matters

electronic payments, check capture and online banking), the OCC lists some of the new technologies, the implementation of which may be hindered by ambiguous, burdensome or inflexible rules, such as blockchain, artificial intelligence, biometrics, cloud computing and big data/analytics. Comments are due by August 3, 2020.

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Turning climate risks into business opportunities 

IBM Big Data Hub

Substantial repair costs might arise, particularly impacting insurance companies. In some business sectors, such as financial services, fast-moving consumer goods and healthcare, business interruptions can have a significant detrimental impact on daily life. For more information, visit our Climate risks insights page.

Risk 67
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Unlocking the power of chatbots: Key benefits for businesses and customers

IBM Big Data Hub

The latest artificial intelligence (AI) chatbots , also known as intelligent virtual assistants or virtual agents, not only understand natural conversations thanks to advanced language models but also proactively automate various tasks using conversational AI technology.

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The most valuable AI use cases for business

IBM Big Data Hub

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system.