Blog

Discover five digital strategies (with costs) to automate risk assessment in health insurance and pick the one that best fits your transformation budget.

AI boosts financial planning accuracy and efficiency, but it shouldn't be an autonomous decision-maker, says Olga Vinichuk at ScienceSoft.

Explore specialized budgeting solutions that help health insurers create and adjust budgets 65–80% quicker and boost the FP&A team's productivity by 40–80%.

Many talk digital transformation in insurance these days, but it’s hard to find case studies supported by concrete results. Here are three real stories.

By the end of 2025, 80% of software engineers will be working from home partially or completely, ScienceSoft's research predicts.

How to leverage new borrower data, AI-powered risk analytics, and process automation tools for fairer and more profitable credit underwriting strategies.

Health insurance automation can help reduce operational costs without cutting staff, but software TCO may become a new budget drain if not managed well.

By 2030, the global market for tokenized real estate will reach $3 trillion and represent 15% of the real estate AUM, ScienceSoft's research team predicts.

ScienceSoft predicts growth of telemedicine adoption: by the end of 2026, 25-30% of all medical visits in the US will be conducted remotely.