Remove Customer Experience Remove Government Remove Insurance Remove Unstructured data
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Examples of IBM assisting insurance companies in implementing generative AI-based solutions  

IBM Big Data Hub

This approach can accelerate speed-to-market by providing enhanced capabilities for developing innovative products and services, facilitating business growth and improving the overall customer experience in their interactions with the company. Customer engagement Providing insurance coverage involves working with numerous documents.

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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. A leading insurance player in Japan leverages this technology to infuse AI into their operations.

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The 7 most common data quality issues

Collibra

The impact of data quality is directly seen in lower revenue and higher operational costs, both resulting in financial loss. Data quality significantly influences the organizational efforts in governance and compliance, leading to additional rework and delay. Duplicate data increases the probability of skewed analytical results.