Gaining timely, trusted effective insights from data is crucial in today’s fast-paced government environment. It’s all about innovation, making smart decisions, and keeping up with changes. Imagine if everyone in your organization could instantly and securely access and integrate data from across the organization. Unfortunately, data landscapes are constantly evolving, with increasing cloud workloads and data spread across more environments than ever. The rising demand for data—fueled by technologies like generative AI (GenAI) and the emergence of agentic AI systems that can reason, plan, and act autonomously—further challenges data teams to keep pace.
Department and agencies are leveraging data lakehouses as a cornerstone of their modern data strategies, benefiting from scalable storage, powerful compute, and a unified platform for analytics and AI workloads. However, not all data resides in the lakehouse—and not all use cases are best served by centralizing it. Real-time operational reporting, AI applications that depend on live context, and scenarios requiring strict data sovereignty, often fall outside the lakehouse’s traditional strengths and limit the government’s ability to react swiftly and innovate. To address these gaps, a new approach is needed—one that adds a layer of intelligence above the lakehouse and other existing systems to deliver data in the right form for each use case, at the speed of mission, regardless of where it resides or how it’s structured.
