SAS’ Post

Data is crucial when it comes to predicting change and is critical for future-proofing. Data and interactions across parts of the value chain, including integrating static data with dynamic and real-time data, enables insurers to create new insights for claims, policies and more. Learn more: https://spns.pub/3Pd8DHs #insurance #insurtech #data

We understand the complexities of choosing the right underwriting approach. Our technology-driven solutions are designed to support both models, enabling insurers to maintain rigorous oversight in a delegated model or enhance efficiency and analytical depth in a non-delegated model. Remember that technology can play a key role in optimizing your underwriting process. With robust analytics, AI-driven risk assessment, and streamlined process automation, insurtech can transform how insurers do business, delivering enhanced profitability, agility, and customer satisfaction. Dive deeper into both approaches here: https://lnkd.in/g4iPcakw

Identifying large losses within the global insurance market is a formidable challenge, primarily due to the industry's inherent complexities. To help combat this, we worked with Aioi Nissay Dowa Europe to build a unique machine learning solution estimated to save £2m+ each year in claims cost by preventing potential large losses. "What was critical in the success of the large loss solution was that AND-E had the domain expertise and previous knowledge about large loss accidents, proven and enhanced by the Machine Learning models created by Mind Foundry. As human insight helped inform what the models learned, the model’s insights helped the insurance experts learn more about the world and how to understand and better manage the risk in their portfolio.” - Greg Cole, UK Claims Director, AND-E. Find out how ⬇️ https://lnkd.in/gVxAHJcd

#Databricks Looking to accelerate digital transformation in the insurance industry? 🤔🚀 Check out this eBook to learn how Databricks #Lakehouse for Insurance empowers customers to streamline the analytics process, analyze extensive data for improved underwriting, achieve efficient customer engagement with reduced costs, and more ⬇️