Algorithmic Insurance

Pull out in front with Machine Learning & Artificial Intelligence

The Insurance industry is turning to analytics to create Algorithmic Insurance as a competitive advantage. With new technologies, business models, and competitors entering the insurance industry at an increasing rate, to attract and retain the most valuable customers, you must innovate and accelerate decisions and operations. Instead of canned “black box” applications, building your IP into algorithms on a platform that business users can use changes the game. At a fraction of the cost of canned solutions, you can now leverage advanced techniques like machine learning and artificial intelligence across the enterprise.

TIBCO Steers AA Ireland to a More Integrated and Agile Future
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Benefits

Learn and continuously improve

Working like a digital nervous system, source the right data, analyze it through various techniques, and implement the resulting insights as a closed-loop solution. This is continuous learning that lets your entire organization optimize operations―for responding to fraud, assessing risk, improving the customer experience.

Learn and continuously improve

Make better, faster decisions

Streaming analytics not only helps your systems react faster but your people make better, faster decisions. With comprehensive data aggregation and visualization, all decision-makers can understand context, solve urgent problems on short notice.

React quickly

Make automatic adjustments quickly to keep your business in line with the changing market. Connect your people to smart systems for real-time decision support, automated action, and continuous learning.

React quickly

Capabilities

AI-driven Visual Analytics

GLM is not your only weapon. Bring more sophisticated modeling into risk and other decisions by deploying AI models on an extremely performant real-time execution engine.

Predictive Analytics

Ensure claims frequency is understood, and if possible, prevented, with easy-to-use predictive models and connector support to languages such as R, PMML, H2O, and SparkML.

Real-time Decision-making

Detect and prevent fraud with real-time computations against high-speed data. Use advanced techniques to spot anomalies in your data and investigate them.