Sikich

Insurers are investing heavily in AI to improve speed, accuracy, and efficiency. Yet despite increased funding and executive sponsorship, many AI initiatives struggle to move beyond pilots or fail to deliver meaningful, scalable business value.

The reason why? While data in insurance companies is often abundant, it's rarely ready for AI. Rahul Bhatia explains what this means. https://www.sikich.com/insight/why-data-readiness-is-the-real-barrier-to-scalable-ai-adoption-in-insurance/

Why data readiness is the real barrier to AI adoption in insurance As insurance companies accelerate AI adoption, data readiness has emerged as the defining factor between stalled initiatives and sustainable success.

A successful implementation is a major step forward, but for many teams, the real adjustment begins after go-live. The only true way to measure the success of the implementation is with user adoption, which is why Sikich has developed NetSuite Managed Services to support the post-implementation phase. Learn more from Tony Rogers about how this post go-live service gives teams a place to go for real-time answers, ongoing system oversight, and clear ownership, so nothing gets stuck or overlooked.

Supporting NetSuite after go-live: what actually happens next A successful NetSuite implementation is a major step forward, but for many teams, the real adjustment begins after go-live.

System downtime is more than an inconvenience, as it can lead to lost revenue, damaged reputation, and operational disruption. As organizations migrate from on-premises systems to the cloud, it's just as important to prepare these infrastructures for resilience as it is for performance or cost optimization. Microsoft Azure has the tools to ensure these needs. Learn more from Jordan Chlebus: https://www.sikich.com/insight/high-availability-and-disaster-recovery-in-microsoft-azure-designing-for-resilience/

High availability and disaster recovery in Microsoft Azure: designing for resilience Microsoft Azure provides a rich set of tools to help orgs achieve both high availability and disaster recovery, but understanding how and when to use them is critical.