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Capability Is Cheap. Readiness Is Not.
The 2026 Stanford AI Index shows a widening gap between what AI can do and what organizations are prepared to govern, absorb, and operate.
The hidden cost of cutting people to "save money" with AI
Workers are also customers. New research shows AI-driven layoffs can shrink the pie for everyone, while the true cost of running AI is badly underestimated.
How OAC Will Reshape Connected & Autonomous Cars and the Future of Insurance
Over-the-Air Computation could let networks deliver risk signals instead of raw telemetry, changing the economics of telematics and how insurers underwrite connected and autonomous vehicles.
Selling AI to U.S. Financial Institutions: The Real Challenge Is Trust, Not Technology
Banks and insurers don't buy the most advanced AI. They buy evidence, transparency, and compliance. Winning in financial services means building trust before scale.
Precision Pricing in Life and Annuities: A Machine Learning Approach
From data architecture and governance to GLMs, XGBoost, and lapse modeling, how machine learning sharpens pricing precision in life and annuities.
Artificial Intelligence's Role in Transforming the TPA Landscape in Life Insurance and Annuities
AI is moving third-party administrators from legacy back-office processing to strategic partners, reshaping intake, servicing, claims, reporting, and the workforce itself.