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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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Data protection strategy: Key components and best practices

IBM Big Data Hub

While every data protection strategy is unique, below are several key components and best practices to consider when building one for your organization. What is a data protection strategy? Why it’s important for your security strategy Data powers much of the world economy—and unfortunately, cybercriminals know its value.

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Combating Fraud in Insurance with Data

Cloudera

The insurance industry has a long and intimate relationship with fraud in many different ways. Insurance fraud can take place at a process or business function level, most notably in claims or underwriting. The different venues to commit fraud against an insurer are mind-boggling, with serious financial consequences.

Insurance 101
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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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Adoption of Automated Sales & Underwriting Strategies can Transform Insurance

bridgei2i

Adoption of Automated Sales & Underwriting Strategies can Transform Insurance. The insurance industry—which, in the US alone, stands at $1.2 trillion, is seeing the volume of insurance transactions growing every year. Images 1: Challenges before insurance in the post-Corona world. click here.

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How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Cloudera

But these measures alone may not be sufficient to protect proprietary information. The Danger of Black-Box AI Solutions We believe the best, most pragmatic solution for AI in financial services and insurance is what we call–“Trusted AI.” proprietary data, business strategies, methodologies, etc.

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How to build a successful risk mitigation strategy

IBM Big Data Hub

The only way for effective risk reduction is for an organization to use a step-by-step risk mitigation strategy to sort and manage risk, ensuring the organization has a business continuity plan in place for unexpected events. Building a strong risk mitigation strategy can set up an organization to have a strong response in the face of risk.

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