Remove Digital Transformation Remove Risk Remove Statistics Remove Unstructured Data
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Belcorp reimagines R&D with AI

CIO Business Intelligence

The R&D laboratories produced large volumes of unstructured data, which were stored in various formats, making it difficult to access and trace. Finally, our goal is to diminish consumer risk evaluation periods by 80% without compromising the safety of our products.” This allowed us to derive insights more easily.”

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Examples of IBM assisting insurance companies in implementing generative AI-based solutions  

IBM Big Data Hub

As part of our generative AI initiatives, we can demonstrate the ability to use a foundation model with prompt tuning to review the structured and unstructured data within the insurance documents (data associated with the customer query) and provide tailored recommendations concerning the product, contract or general insurance inquiry.

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Adoption of Automated Sales & Underwriting Strategies can Transform Insurance

bridgei2i

The unprecedented circumstances surrounding pandemic have increased awareness around insurable risks across different financial losses that can be covered as everyone in the world have faced financial losses like unemployment, travel cancellation, health issues, business interruptions, etc.

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How to Choose the Best Analytics Platform, and Empower Business-Driven Analytics

Grooper

ISL is also the foundation for the process of transforming data into wisdom and successful master data management. Fear of disruption and growing digital transformation initiatives have created a demand for business-driven analytics. Applied analytics Business analytics Machine learning and data science.

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Making intelligent automation work at scale

CIO Business Intelligence

For example, IDP uses native AI to quickly and accurately extract data from business documents of all types, for both structured and unstructured data,” Reis says. Another benefit is greater risk management. Secure sponsorship. Pilot to accelerate results.