AI mastery is a key competitive differentiator in intelligent insurance.
There’s no doubt that the changes to the insurance industry in the next ten years will be as profound as the effects of the digital revolution of the 1990s and 2000s.
This whitepaper explores how large incumbents harness AI to their advantage to counter the disruptive digital-native innovators, and shares the successes of early adopters in their AI implementation across the entire insurance value chain: from marketing and distribution, underwriting and pricing, to claims management. This drives new customer experiences, products, and operating models.
Drawing on the analysis of the opportunities and applications of AI in the insurance industry, SparkBeyond and Microsoft curated insights from MetLife, ErgoHestia, Sompo and others, to explore relevant case studies in which AI creates business value, including:
SparkBeyond delivers AI for Always-Optimized operations. Our Always-Optimized™ platform extends Generative AI's reasoning capabilities to KPI optimization, enabling enterprises to constantly monitor performance metrics and receive AI-powered recommendations that drive measurable improvements across operations.
The Always-Optimized™ platform combines battle-tested machine learning techniques for structured data analysis with Generative AI capabilities, refined over more than a decade of enterprise deployments. Our technology enables dynamic feature engineering, automatically discovering complex patterns across disparate data sources and connecting operational metrics with contextual factors to solve the hardest challenges in customer and manufacturing operations.
Since 2013, SparkBeyond has delivered over $1B in operational value for hundreds of Fortune 500 companies and partners with leading System Integrators to ensure seamless deployment across customer and manufacturing operations. Learn more at SparkBeyond.com or follow us on LinkedIn.
Apply key dataset transformations through no/low-code workflows to clean, prep, and scope your datasets as needed for analysis
Apply key dataset transformations through no/low-code workflows to clean, prep, and scope your datasets as needed for analysis
Apply key dataset transformations through no/low-code workflows to clean, prep, and scope your datasets as needed for analysis
Apply key dataset transformations through no/low-code workflows to clean, prep, and scope your datasets as needed for analysis
Apply key dataset transformations through no/low-code workflows to clean, prep, and scope your datasets as needed for analysis
Apply key dataset transformations through no/low-code workflows to clean, prep, and scope your datasets as needed for analysis