Earnix's Excelerate Boston Aims to Bridge Insurance AI's Execution Gap

  • Earnix hosted its inaugural North American Excelerate conference in Boston on June 3, 2026, focusing on operationalizing AI in insurance.
  • AM Best projects the U.S. P&C combined ratio will rise to 96.9% in 2026, highlighting margin pressures.
  • Earnix's 2026 Trends Report found 83% of executives concerned about AI models trained on incomplete data, with only 30% able to access needed information quickly.
  • Gartner predicts 60% of AI projects unsupported by AI-ready data will be abandoned by 2026.
  • Over 150 insurance executives attended, with Earnix set to unveil a major industry announcement on AI operationalization.

The insurance industry faces a widening execution gap as traditional underwriting and pricing cycles struggle to keep up with dynamic risk environments. Earnix's Excelerate Boston conference underscores the urgency for insurers to operationalize AI to protect margins and respond to market demands. The event highlights the need for a new operating model powered by AI to bridge the gap between ambition and action, with Earnix positioning itself as a key enabler of this transformation.

AI Operationalization
How Earnix's next-generation capabilities will help insurers move from AI experimentation to enterprise-wide execution.
Market Dynamics
Whether insurers can adapt their operating models fast enough to address rising risk complexity and margin pressures.
Data Governance
The pace at which insurers can improve data quality to support effective AI model training and deployment.