Cameron Langley

While the industry races toward AI-driven operations and automation, many insurers are still working to close a critical readiness gap: confidence in the underlying data. This panel explores how insurance organizations are moving beyond AI experimentation to strengthen the governance, validation, and operational trust required to support analytics, automation, and future AI initiatives at scale. Panelists will discuss practical approaches for improving trust across policy, claims, and analytics environments while preparing both legacy and modern platforms for the next generation of insurance operations. Attendees will gain insight into:

• Why trusted data has become foundational for successful AI and automation initiatives

• Common challenges insurers face across fragmented and evolving data environments

• Practical ways organizations are improving confidence in reporting, analytics, and operational workflows

• How insurers are preparing data ecosystems for scalable modernization and AI adoption