Insurance

The Emergence of Machine Learning and AI in Insurance

Artificial intelligence (AI) and Machine Learning (ML) are transforming the insurance industry in a number of ways. Artificial intelligence and machine learning are two very hot buzzwords right now in insurance, and often seem to be used interchangeably. However, they are not quite the same thing, so we are going to help cut through the […]

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Blockchain Technology on the Rise

Blockchain technology is a growing trend in the insurance industry for 2018 and is slated to gain even more traction in 2019 and beyond. It promises to improve operational efficiency throughout the value chain, enhance operational transparency and ensure seamless data transfer between all involved stakeholders. Blockchain-based technological solutions have the potential to make the

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Basic Ins and Outs of Property and Casualty Insurance

Property insurance is relatively simple to define. It includes many types of insurance designed to cover property losses. This type of insurance aims to protect the property, either real or personal, described in the policy against certain risks. As you can imagine, there are different needs for the protection of: • Homeowner’s Insurance • Liability

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Beneficial Impact of Tech Adaptation in the Insurance Industry

The tech-driven adaptation of underlying business models continues at pace to disrupt the insurance industry. This is leading to ongoing changes in the distribution segment of the industry, but more excitingly, movements are happening in fundamental spaces like personalization, underwriting, and claims management. Personalization The same data that allows the insurer to move toward an

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Why Test? Understand the Benefits of Automated Regression Testing

Test automation can bring many benefits to your testing cycles, allowing you to build better solutions with less effort. Regression testing is a type of software testing used to determine whether new problems are the result of software changes. Automated testing is also less time consuming. Sadly, there are still many companies that run only

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