The Earnix Blog: Resources for Insurance and Banking Leaders
June 26, 2024
By Aakash Shirodkar
The use of synthetic data has expanded greatly the options in the world of analytics and data science, and has found traction in many corners of the insurance industry. It has yet to find wide usage in specialty markets. In these markets, failure to take full advantage of synthetic data runs the risk of suboptimal decisions and the resulting negative impacts to profitability.
June 5, 2024
By Earnix Team
Insurers are turning to artificial intelligence (AI) for better data management, risk assessment, and personalized underwriting, promising increased efficiency, speed, and profitability. Earnix Underwrite-It™ is a key piece of AI auto insurance that can accelerate the transition.
May 15, 2024
By Earnix Team
Model Accelerator gives insurance analytics teams newfound freedom to choose whatever tools they prefer for modeling, incorporating virtually any model from other frameworks and formats, including transformations.
When combined with Earnix Price-ItTM and Earnix Underwrite-ItTM, teams can leverage their past investments in models, including those currently in simulation and production, adding to their agility and flexibility, and reducing the time required to react to market changes, including competitive actions.
April 16, 2024
By Earnix Team
As insurers seek the enormous business benefits of dynamic pricing, personalization, and real-time risk assessment, they inevitably turn to artificial intelligence (AI) as their “go-to” technology.
April 9, 2024
By Earnix Team
Today there’s a new opportunity to take advantage of new innovations and capabilities in the insurance industry. AI now plays a crucial role in insurance analytics due to its ability to process vast amounts of data, identify patterns, make predictions, and automate tasks.
April 2, 2024
By Earnix Team
Human-centric AI is a complex concept that includes sub-topics such as human controls, transparency, fairness, explainability, inclusiveness, education, and other related ideas. Above all else, human-centric AI recognizes that people are critical in its design, operation, and use of technology that reinforces and even improves employees’ abilities – and doesn’t look to replace them.