Data Analytics

Specialty insurers rushing toward automation face four costly pitfalls that compromise efficiency and threaten the success of transformation efforts.

83% of insurers view predictive analytics as "very critical" for the future of underwriting, but just 27% say they have the necessary capabilities. 

...and it's costing more than money. Payment systems must evolve from back-office afterthoughts into competitive differentiators.

Amid rapid industry consolidation, M&A success hinges on integration strategy, not just closing deals.

No matter how advanced the model, artificial intelligence is only as good as the data it’s trained on.

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.