Remove Data Remove Financial Services Remove Insurance Remove Unstructured data
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The most valuable AI use cases for business

IBM Big Data Hub

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

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ABBYY Reports 15% Annual Global Revenue Growth in 2018

Info Source

The enterprise segment was another growth driver with substantial wins in the financial services, insurance, transportation and logistics, and legal sectors. ABBYY’s competitive advantage is its ability to address and execute the challenges digital enterprises have with data quality and gain understanding from their content.

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How generative AI delivers value to insurance companies and their customers

IBM Big Data Hub

Insurers struggle to manage profitability while trying to grow their businesses and retain clients. Large, well-established insurance companies have a reputation of being very conservative in their decision making, and they have been slow to adopt new technologies.

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Spigraph, Everteam & ImageFast Provide Critical Information Governance Solutions to European Market

Everteam

To support organizations in their efforts to manage their information properly, Spigraph is making two Everteam governance products available: everteam.discover and everteam.policy: everteam.discover is a file and content analytics solution that connects to both structured and unstructured data repositories across the organization.

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Financial Supervision in a Digital World

Thales Cloud Protection & Licensing

A new generation of Fintech players, as well as major regulatory changes regarding GDPR, KYC and AML have meant that Financial Supervision continues to evolve in our increasingly digitalised world. A changing financial world Today’s consumers value ease of use - and payments and online financial services are no exception.

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Kofax Introduces Automated Process Discovery and Robotic Lifecycle Management

Info Source

“It allows users to design and deploy intelligent robots that use built-in AI and machine learning to perform functions such as recognizing, classifying, and when needed transforming unstructured data into structured formats. Increased productivity of document and data handling by processing more documents and electronic data faster.