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How Insurers Can Shift From Broad Rate Increases to Risk-Based Pricing

How Insurers Can Shift From Broad Rate Increases to Risk-Based Pricing

by AnshumanD | Apr 22, 2026 | Insurance

The rate cycle that defined US personal and commercial lines from 2022 through 2024 accomplished something important: it restored pricing adequacy after years of inadequate premiums relative to rising claims costs. But it also extracted a steep customer cost....
Why Profitable Risks Are Leaving at Renewal (And How Data Fixes It)

Why Profitable Risks Are Leaving at Renewal (And How Data Fixes It)

by AnshumanD | Apr 22, 2026 | Insurance

Executive SummaryThe U.S. P&C insurance industry achieved its strongest performance in a decade during 2025, with net underwriting income nearly tripling year-on-year to $60.9 billion and the combined ratio improving to 92.9%. (Source: AM Best) Yet beneath these...
Modernizing Insurance Data: From Silos to Real-Time AI

Modernizing Insurance Data: From Silos to Real-Time AI

by AnshumanD | Apr 22, 2026 | Insurance

Executive SummaryFor U.S. property and casualty (P&C) insurers, the data landscape has reached an inflection point. Three interconnected challenges are converging: policy, claims, and billing systems that refuse to talk to each other; data warehouses built for...
Metadata That Predicts Failure: How LLM Copilots Are Rewriting Change Intelligence

Metadata That Predicts Failure: How LLM Copilots Are Rewriting Change Intelligence

by AnshumanD | Apr 22, 2026 | AI, Analytics

Transforming lineage, usage, and schema history into real-time impact prediction for safer data platform evolution.Executive SummaryLLMs are transforming metadata into a predictive decision system that evaluates downstream impact before deployment. This depends on...
The End of Request-Driven BI: Why Data Platforms Are Taking Over

The End of Request-Driven BI: Why Data Platforms Are Taking Over

by AnshumanD | Apr 22, 2026 | Analytics

Why shifting from request-driven analytics to data platforms is now a structural necessity for enterprises.Executive SummaryTraditional BI teams operate as request-driven service units, where every business question depends on analyst bandwidth, creating decision...
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