AI can enable organizations to improve, innovate, and accelerate their business. AI/ML and data science solutions are being implemented across all industries, including Government. From supply chain to customer experience, there is enormous potential for digital innovation gained from adopting AI/ML in your technology stack.
However, integrating effective AI capability in the past was challenging. The footprint of these solutions is often hybrid - across data centers, public clouds, and edge locations. Figuring out and building a platform necessary for these distributed workloads is complex and difficult to maintain. This challenge becomes even more difficult when layering on data science. The right architecture is essential to enable leveraging existing applications and in creating new modern data driven applications. A good architecture starts with hardware and continues up through software layers that allow rapid development, delivery, and operation.
Join Red Hat and NVIDIA for a session where you will learn about the future of smart systems where AI/ML capabilities are fully integrated into every data center.