AI thrives on data.

From training large language models (LLMs) to operationalizing predictive analytics, success depends on efficient, secure and scalable data access. A traditional single-cloud or on-prem approach can no longer keep pace.

That’s why multicloud has emerged as the foundation for AI-driven modernization. By creating seamless connectivity between on-premises, private and public cloud environments, agencies can:

•  Keep sensitive or regulated data securely on-premises
•  Leverage elastic compute and AI services in the cloud
•  Enable continuous innovation without sacrificing governance or compliance

Learn more about how multicloud drives AI expansion in our latest ebook.