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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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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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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.

Risk 74
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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.

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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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CIO risk-taking 101: Playing it safe isn’t safe

CIO Business Intelligence

Instituting sturdy identity management practices reduces the odds of a variety of risks becoming real — and also reduces the damage should a risk become real in spite of the organization’s preventive measures. Which is to say if your preventive measures work, you’ll be found guilty of having cried wolf — of inflating the risk.

Risk 109
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Top 15 Warehouse KPIs & Metrics For Efficient Management 

datapine

Every day, more and more businesses realize the value of analyzing their own performance to boost strategies and achieve their goals. A Warehouse KPI is a measurement that helps warehousing managers to track the performance of their inventory management, order fulfillment, picking and packing, transportation, and overall operations.

Metrics 217