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Top financial services trends of 2024

IBM Big Data Hub

While high interest rates and inflation concerns are carrying over into the new year, financial services trends signal to prepare for major changes in real-time by staying up-to-date on all financial services-related matters, including in banking and capital markets sectors. One example of this is in insurance.

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The trend toward pay-as-you-drive insurance

CGI

The trend toward pay-as-you-drive insurance. Almost every insurance company is currently working on providing pay-as-you-drive insurance. Insurance based on driving behavior can be very attractive for both the insurer and the insured. With this data, it’s possible to assess risks more precisely.

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

IBM Big Data Hub

A leading insurance player in Japan leverages this technology to infuse AI into their operations. Real-time analytics on customer data — made possible by DB2’s high-speed processing on AWS — allows the company to offer personalized insurance packages.

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Mastering healthcare data governance with data lineage

IBM Big Data Hub

Healthcare organizations need a strong data governance framework to help ensure compliance with regulations like the Health Insurance Portability and Accountability Act of 1996 (HIPAA) in the US and the General Data Protection Regulation (GDPR) in the EU. Despite this, many healthcare organizations face challenges.

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The benefits of AI in healthcare

IBM Big Data Hub

Implementing AI can help recognize unusual or suspicious patterns in insurance claims, such as billing for costly services or procedures not performed, unbundling (which is billing for the individual steps of a procedure as though they were separate procedures), and performing unnecessary tests to take advantage of insurance payments.

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Conversational AI use cases for enterprises

IBM Big Data Hub

Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events.

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