Remove Analytics Remove Industry Remove Insurance Remove Security
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CIAM in insurance: A unified, secure user experience with a single login

Thales Cloud Protection & Licensing

CIAM in insurance: A unified, secure user experience with a single login madhav Fri, 05/26/2023 - 07:33 In recent years, the insurance industry has transformed from a singularly focused entity to a multi-brand or multi-service type of business. Adding value to the user experience (a top priority for 59% of insurers) 2.

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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. As AI technologies continues to mature and use cases expand, insurers should not shy from the technology.

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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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RSAC insights: How ‘TPRM’ can help shrink security skills gap — while protecting supply chains

The Last Watchdog

Big banks and insurance companies instilled the practice of requesting their third-party vendors to fill out increasingly bloated questionnaires, called bespoke assessments, which they then used as their sole basis for assessing third-party risk. It does this by ingesting and correlating data from a wide array of security-related datasets.

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Mastering healthcare data governance with data lineage

IBM Big Data Hub

The healthcare industry faces arguably the highest stakes when it comes to data governance. Inaccuracies might also lead to more delays or complications with insurance coverage. Also, using predictive analytics can help identify trends, patterns and potential future health risks in your patients.

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GUEST ESSAY: How to secure ‘Digital Twins’ to optimize asset use, while reducing exposures

The Last Watchdog

Add in an increasing focus on data becoming a crucial enterprise asset—as well as the introduction of countless database and analytical tools, digital twins, artificial intelligence, and machine learning—and we are dealing with unprecedented technical complexities and risk. Access security challenges. What will happen?

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Securing AI Deployments: Striking the Balance

OpenText Information Management

If it’s not accurate, accessible, and secure, organizations won’t get the desired results. Since AI relies on data to learn and improve, organizations must ensure their data is accurate, accessible, and secure. Examples include names, mailing addresses, phone numbers, social insurance numbers, and credit card details.