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Mitigating the impact of climate change in insurance and other financial services  

IBM Big Data Hub

According to Berenberg analysts , individual insurance companies faced total claims estimates of up to approximately USD 300 million. For other financial services firms outside of the insurance sector, property accepted as loan security might face climate-related risks as well. As a result, their market would shrink.

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Keeping Up with New Data Protection Regulations

erwin

Facebook was in the news again last week for another major problem around the transparency of its user data, and the tech-giant also is reportedly facing 10 GDPR investigations in Ireland – along with Apple, LinkedIn and Twitter. For example, many retailers have robust, data-driven e-commerce operations that are international.

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The most valuable AI use cases for business

IBM Big Data Hub

Customer-facing AI use cases Deliver superior customer service Customers can now be assisted in real time with conversational AI. Voice-based queries use natural language processing (NLP) and sentiment analysis for speech recognition so their conversations can begin immediately.

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Regulatory Update: NAIC Summer 2018 National Meeting

Data Matters

The National Association of Insurance Commissioners (NAIC) held its Summer 2018 National Meeting in Boston, Massachusetts, from August 4 to 7, 2018. NAIC Continues its Evaluation of Insurers’ Use of Big Data . The NAIC is also considering insurers’ use of big data in underwriting life insurance products.

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Regulatory Update: NAIC Summer 2019 National Meeting

Data Matters

The National Association of Insurance Commissioners (NAIC) held its Summer 2019 National Meeting (Summer Meeting) in New York City from August 3 to 6, 2019. The amended regulation took effect on August 1, 2019, for annuity products and will become effective on February 1, 2020, for life insurance products.

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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.

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Conversational AI use cases for enterprises

IBM Big Data Hub

In addition, ML techniques power tasks like speech recognition, text classification, sentiment analysis and entity recognition. When incorporating speech recognition, sentiment analysis and dialogue management, conversational AI can respond more accurately to customer needs.