The Nimble Advantage: Tailored AI for a Dynamic Industry – A Fenris Core Philosophy

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AI will be a driver of very constant change—not just once, but repetitively. As Richard Wiedenbeck emphasized during the opening panel from the Chicago Insurance Tech and Innovation Conference, having an ever-adapting skill set will be imperative for individuals in the age of AI, and the same goes for organizations. The companies best able to leverage AI will be those that are the most nimble and adaptable. Rigid, static AI solutions simply won’t suffice in our rapidly evolving market. This idea was then echoed throughout several other sessions, highlighting the need for continuous innovation and responsiveness.

 

This notion of agility and customization is core to Fenris’s philosophy and how we approach our AI and Machine Learning solutions. We understand that every client has unique business objectives, specific KPIs to optimize, and proprietary data that holds immense value. Crucially, Fenris believes the best solution is not to replace all of our clients’ and partners’ existing solutions, but instead to leverage their deep expertise about the industry, their customers, and their leads along with our deep experience in the analytics space to create AI solutions that are more powerful than a one-size-fits-all approach can be. Our suite of models is tailored in a variety of ways to our clients’ individual use cases:

 

  • KPI Optimization: Whether a client’s priority is reducing loss ratios, improving conversion rates, or enhancing customer lifetime value, our models can be specifically fine-tuned to optimize these critical performance indicators.

 

  • Client Data Integration & Fine-tuning: We don’t just provide off-the-shelf models. We allow for advanced retraining capabilities that combine our clients’ expertise and their wealth of proprietary data about their leads with our hundreds of data points drawn from our massive datasets covering millions of households and businesses. This fusion of internal expertise and external data creates a uniquely powerful predictive engine.

 

  • Near Real-Time Insights: In a fast-moving market, static data is rapidly outdated. Our ability via consistent retraining (hundreds of times per day) to provide near real-time insights ensures that decisions are always based on the most current and relevant information, enabling true responsiveness.

 

The discussions in Chicago affirmed that the future of insurtech isn’t just about deploying AI; it’s about deploying smart, adaptable AI that integrates seamlessly with human workflows and evolves with the business. At Fenris, we’re building the tools that empower insurers to be both intelligent and agile in this exciting new era.

 

Learn more about Fenris Predictive AI.