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Insurance IT leaders herald new era for digital customer experience

CIO Business Intelligence

The insurance industry is undergoing a sea change, with IT playing a crucial role in rolling out digital customer experiences for policyholders and agents, as in-person meetings all but vanish in the post-pandemic era. We are paying very close attention to trends from a customer perspective.

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The risks and limitations of AI in insurance

IBM Big Data Hub

In my previous post , I described the different capabilities of both discriminative and generative AI, and sketched a world of opportunities where AI changes the way that insurers and insured would interact. The risk of privacy leakage from interaction with AI technologies is a major source of consumer concern and mistrust.

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Machine Learning Transforms Life Insurance Beyond the Actuarial Process

Smart Data Collective

The insurance industry is among those that has found new opportunities to take advantage of machine learning technology. Life insurance companies in particular are discovering the wondrous opportunities that AI provides, since this sector faces some unique challenges relative to other insurance offerings.

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The business value of operating core insurance solutions on the cloud

IBM Big Data Hub

Although interest rates have increased at an unprecedented rate over the past year due to efforts by central banks to curb inflation, insurers are locked into low-yielding investments, and it will take several years for their investment yields to improve. Core modernization (processes and technology) is a top priority for every insurer.

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Express Cloudera POV on 2021 data trends in insurance

Cloudera

We’ve written about the changes forced on the traditionally risk-averse insurance industry by COVID-19. In 2021, with the crisis hopefully fading, insurance will have time to evaluate the changes made in 2020, assessing what worked and what didn’t, and planning a new way forward rather than reacting in real time. .

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Underwriting Process Automation for M&A Insurance

bridgei2i

Case study: Underwriting Process Automation for M&A Insurance. The client, a leading commercial insurer in North America, was looking to reduce the deal processing time of policies by automating the retrieval of specific information from various documents and boost conversions. Business Context. How BRIDGEi2i Delivered Value?

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Emerging Risk Identification for Personal Lines Insurance

bridgei2i

Case study: Emerging Risk Identification for Personal Lines Insurance. The client, a global insurance leader, wanted to identify emerging risks, associated drivers & trends by analyzing various external data sources including medical journals, legal opinion blogs, newsfeed & social media. Business Context.