Data Analytics

Without end-to-end data control, ROI gets eaten up by misleading outputs and cleanup costs—fueling the old guard's skepticism about AI.

Insurers adopt coreless architecture to scale AI capabilities while preserving critical legacy investments.

Legacy policy administration systems silently erode carriers' competitiveness in an increasingly digital insurance landscape.

As natural perils intensify, LLMs enable catastrophe models to harness unstructured data for dynamic risk assessment.

Insurers are great at using their abundant data for analysis but can't constantly mine it for insight that drives action in real time.

AI and IoT transform insurance risk management from reactive pricing to loss prevention.

Observability transforms data and AI investments from opaque expenses into measurable drivers of business value.

Like a flip phone in a smartphone world, legacy systems slow you down, frustrate users and make it hard to keep up, let alone get ahead.