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Enterprise Architecture: Secrets to Success

erwin

data protection, personal and sensitive data, tax issues and sustainability/carbon emissions)? Data Overload : How do we find and convert the right data to knowledge (e.g., big data, analytics and insights)? operating strategy, global business services and shared services)?

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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

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. The Big Data (EX) Working Group heard a presentation from LIMRA regarding how insurers are utilizing consumer data in underwriting life insurance products.

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Leveraging high performance computing to help solve complex challenges across industries

IBM Big Data Hub

The solution also includes security and controls built into the platform and is designed to allow clients across industries to consume HPC as a fully managed service while helping them address third- and fourth-party risks. In the era of data and generative AI , HPC is key to processing data and generating insights quickly.