The Property & Casualty Insurance Industry Business Reference Architecture

The Property & Casualty (P&C) Insurance Business Reference Architecture provides an industry-specific view of how P&C insurers create, deliver, and support value across the...

Veeam Adds 6 Hypervisors, Launches Cloud Archive Tier to Replace Tape

Veeam wants IT leaders to bet on one platform instead of five. Data Platform v13.1 adds six hypervisors, native protection that finally unites healthcare and non-x86...

Assess and Prioritize Agentic AI Use Cases in P&C Insurance – Phases 1-3

Enable IT leaders in P&C insurance to prioritize high-value agentic AI use cases across underwriting and claims and scale adoption with clear governance, ownership, and...

Agentic AI Use Case Tool for P&C Insurance

Identify, score, and prioritize high-value agentic AI use cases across underwriting and claims to enable scalable, governed adoption in P&C insurance.

Assess and Prioritize Agentic AI Use Cases in Insurance

P&C insurers see strong potential in agentic AI but lack a clear, defensible path to scale it responsibly. Success requires aligning stakeholders, addressing data...

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Build a Data Strategy for Property & Casualty Insurance – Phases 1-4

Empowers P&C insurers to turn fragmented data into trusted, governed insight that strengthens underwriting, claims performance, and regulatory confidence.

Build a Data Strategy for Property & Casualty Insurance

P&C insurers face growing pressure to improve underwriting accuracy, reduce claims leakage, and meet regulatory expectations while operating with fragmented data. A...

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Data Strategy Accelerator Tool

Helps P&C insurers rapidly assess data maturity, identify governance gaps, and prioritize actions needed to build a reliable, business-aligned data strategy.

Data Governance Adoption Assessment

Helps P&C insurers validate, operationalize, and scale data governance by confirming it works in real underwriting, claims, and actuarial workflows.

Data Strategy Execution Roadmap Tool

Helps P&C insurers prioritize, sequence, and derisk data initiatives to turn data strategy into a clear, executable roadmap.

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