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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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NeoBanks – The New Age Tech Revolutionizing AI in Banking

bridgei2i

Digital transformation could mean different things to different businesses. Let’s start with 2 news items that show how banks are transforming, digitally and literally: News 1: HSBC: HSBC Moves $20 Billion From Paper to Blockchain In One Of The Biggest Financial Deployments. Case in point, banks.

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Why AI is the Driving Force Behind Financial Sector’s Intelligent Makeover

bridgei2i

Introducing innovative technologies such as Artificial Intelligence(AI) can help the financial sector to automate various processes, manage financial advisory services, and reduce the cost of various business expenses. Although the digital transformation of enterprises may seem challenging, it is not impossible.

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Why AI is the Driving Force Behind Financial Sector’s Intelligent Makeover

bridgei2i

Introducing innovative technologies such as Artificial Intelligence(AI) can help the financial sector to automate various processes, manage financial advisory services, and reduce the cost of various business expenses. Although the digital transformation of enterprises may seem challenging, it is not impossible.

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Driving Success With a Modern Data Architecture and a Hybrid Approach in the Financial Services and Telco Industries

Cloudera

When it comes to FSI, one of the key findings from the report is the importance of risk management and regulatory compliance when it comes to data management. In an industry that is subject to stringent regulatory requirements, it is critical to use data to accurately scale up risk management.

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Celebrating Data Superheroes: The 2021 Data Impact Awards Winners

Cloudera

This included using NiFi to automatically collect and centralize documents consisting of unstructured data and then leveraging advanced natural language processing to extract tacit knowledge and perform sentiment analysis on unstructured text and images from more than 20 million documents. Industry Transformation.