Classifying business activity is an imprecise art. Slice Mind’s AI-powered business context service can classify business activity based on a website, a series of keywords, or a single sentence. This service can be tuned to return a variety of industry standard classification codes (including NAICS, SIC, NCCI, GL), or be custom-trained on internal classification systems. In addition, this service can classify businesses working across multiple industries, which permits precise definition of complex business risk for insurance.
Calculate a real-time cyber risk score using external network footprint data, historical data breach trends, and non-intrusive algorithms. With user permission, it can also perform a ‘deep scan’, which probes for more subtle vulnerabilities. Our model then returns a comprehensive dataset and report suggesting actionable ways to reduce cyber risk.
By revealing the geographic distribution of risk, Slice Mind’s geographic scoring API service helps insurers make ongoing pricing, underwriting, and claim settlement decisions with continuous adjustments from ML and AI. It facilitates evidence-based decision making and up-to-date insights into geographic risks and environmental hazards.
Our fraud detection service employs sophisticated AI methods to uncover subtle patterns of behavior present during the claims process. The claims fraud solution is always learning, discovering new schemes of fraud as when they appear.
Check out these blogs from our Data Science team:
Predict - forecast specifics for risks, events, customers, products, incidents and apply insights to influence actual results
Experiment - develop a hypothesis, test, observe, measure and drive the right change at the right time
Simulate - learn with models that reproduce outcomes and drive future change based on historical insights
Nudge - encourage and promote actions and behaviors throughout all your customer engagements