Remove Big data Remove Insurance Remove Unstructured data
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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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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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Measure Twice, Cut Once: How the Right Data Modeling Tool Drives Business Value

erwin

Additional challenges, such as increasing regulatory pressures – from the General Data Protection Regulation (GDPR) to the Health Insurance Privacy and Portability Act (HIPPA) – and growing stores of unstructured data also underscore the increasing importance of a data modeling tool.

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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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Reducing administrative burden in the healthcare industry with AI and interoperability

IBM Big Data Hub

The rule laid out an interoperability journey that supports seamless data exchange between payers and providers alike — enabling future functionalities and technically incremental use cases. These requirements enable the exchange of important data between healthcare payers and providers.

CMS 95
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Looking for a needle in a haystack couldn’t be easier!

CGI

Big data is a massive opportunity. We’ve all seen the big data statistics: every minute 1,820 TB of data is created, 204m emails and 11 million instant messages are sent, 700,000 Google searches are made and businesses receive 35,000 Facebook likes. Looking for a needle in a haystack couldn’t be easier!

Mining 40
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5 misconceptions about cloud data warehouses

IBM Big Data Hub

Organizations looking to increase adoption of ML are turning to cloud data warehouses that support new, open data formats to catalog, ingest, and query unstructured data types.

Cloud 56