The Earnix Blog

In the quest to be agile, insurers need the ability to experiment and innovate with machine learning models in a mode that gives them maximum flexibility. Earnix Model Accelerator extends the capabilities of the Earnix platform, and is designed to streamline the process of building and incorporating advanced models,.

Insurers are no strangers to discussions of the application of AI to their businesses. AI in its various forms has found its way into the mainstream of nearly every aspect of the insurance sector, including risk assessment, pricing, rating, and underwriting. While early adopters gravitated to AI due to the lure of new technology, the vast majority of carriers are in search of solid business reasons for its application. AI pricing models top that list.

In the rapidly evolving world of ML and AI, the power of predictive analytics is undeniable. Yet as we harness this new power, we must also navigate the complex landscape of fairness and ethics. We must also do all we can to create equal opportunities and outcomes across different groups of individuals, regardless of their race, gender, age, or other sensitive attributes.

As cyberattacks continue to rise, they affect virtually every industry, but in many ways, cyber threats are especially worrisome in insurance. The amount of confidential information that appears on an insurance application is extremely appealing to cybercriminals.