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

IBM Big Data Hub

IBM can help insurance companies insert generative AI into their business processes IBM is one of a few companies globally that can bring together the range of capabilities needed to completely transform the way insurance is marketed, sold, underwritten, serviced and paid for.

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Document Processing Vs. Robotic Process Automation

AIIM

For many businesses, content and data capture tools are highly sought out, particularly in the banking and insurance sectors. With so many different types of documents required to operate and adhere to compliances, the need for capturing data accurately and quickly, especially unstructured data, is ever growing.

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Document Processing Vs. Robotic Process Automation

AIIM

For many businesses, content and data capture tools are highly sought out, particularly in the banking and insurance sectors. With so many different types of documents required to operate and adhere to compliances, the need for capturing data accurately and quickly, especially unstructured data, is ever growing.

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

IBM Big Data Hub

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. Adopting AI in business at scale is not without its challenges, including data privacy concerns, integration complexities and the need for skilled personnel.

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Tokio Marine Asia and Ephesoft Announce Partnership to Advance Thai Language Recognition

Info Source

an industry leader in enterprise content capture and data discovery solutions, today announced its collaboration with Tokio Marine Asia, the regional headquarters of the global insurance group that offers an extensive selection of General and Life insurance products and solutions worldwide. IRVINE, Calif. and Singapore – Nov.

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Developing a data-first mindset in insurance

Information Management Resources

It is a powerful positioning for insurance carriers to view themselves as data companies first, incorporating that information across all facets of the organization.

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The most valuable AI use cases for business

IBM Big Data Hub

Other uses include Netflix offering viewing recommendations powered by models that process data sets collected from viewing history; LinkedIn uses ML to filter items in a newsfeed, making employment recommendations and suggestions on who to connect with; and Spotify uses ML models to generate its song recommendations.