Remove Artificial Intelligence Remove Examples Remove Financial Services Remove Insurance
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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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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

AGI, sometimes referred to as strong AI , is the science-fiction version of artificial intelligence (AI), where artificial machine intelligence achieves human-level learning, perception and cognitive flexibility. Regardless, these are examples of narrow AI.

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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. 31, 2020).

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Turning climate risks into business opportunities 

IBM Big Data Hub

In Africa, for example, recurring droughts, floods and cyclones due to climate change might cause crop failures and food insecurity. Substantial repair costs might arise, particularly impacting insurance companies. Artificial intelligence (AI) can play an important role in many solutions for tackling climate risk.

Risk 66
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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.

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Conversational AI use cases for enterprises

IBM Big Data Hub

Conversational artificial intelligence (AI) leads the charge in breaking down barriers between businesses and their audiences. For example, natural language understanding (NLU) focuses on comprehension, enabling systems to grasp the context, sentiment and intent behind user messages.

Analytics 104