AGESIC, Uruguay’s Agency for Electronic Government and Information and Knowledge Society, has expanded its collaboration with Red Hat, the provider of open source solutions. This partnership aims to develop processes and define standards for AI strategy across Uruguay.
AGESIC is on its digital transformation road by transitioning from on-premises datacenters to a private cloud.
AGESIC and Red Hat: A Strategic Partnership
Red Hat announced on May 07, 2024, at the Red Hat Summit, that AGESIC has adopted Red Hat OpenShift AI on Red Hat OpenShift. This adoption aims to extend, scale, and standardize the use of AI across Uruguayan government agencies. With Red Hat’s assistance, AGESIC has been able to spearhead the nation’s AI strategy and provide its teams with a more consistent, hybrid AI/ML platform to build and host models while delivering innovative applications.
Accordingly, AGESIC sought to enhance its AI platform capabilities with Red Hat OpenShift AI, a flexible, scalable MLOps platform for building, deploying, and managing AI-enabled applications across various environments. With Red Hat OpenShift AI, AGESIC has begun automating the creation and development process of its AI models and managing model lifecycles, enabling the standardization of AI usage across all Uruguayan governmental agencies.
Digital Transformation Road
The agency already offers support and Infrastructure as a Service (IaaS) and different digital government solutions as Software as a Service (SaaS) to over 180 government entities nationwide. As artificial intelligence (AI) began to emerge as a legitimate business technology, AGESIC recognized that infusing AI into its operations would be key to meeting the evolving needs of its constituents.
Optimizing Infrastructure for AI
Following the agency’s transition to the cloud, AGESIC optimized its infrastructure for AI with Red Hat OpenShift, the industry’s hybrid cloud application platform powered by Kubernetes.
OpenShift helped bring a containerized approach to managing workloads and automating the agency’s processes, while also bringing development, operations, and systems security functions together on a centralized platform.
AGESIC Evolves Offerings with Red Hat OpenShift
Therefore, AGESIC switched to Red Hat OpenShift. This allowed them to evolve their offerings. They included Platform as a Service (PaaS) and enabled other Uruguayan agencies to develop applications. They could run and manage these without complex infrastructure tasks. Red Hat OpenShift powered this change. They built a new automated platform which resolves tickets much faster than the old manual process. In the end, AGESIC’s users reduced their manual ticket process.
Gabriel Hernandez, Director of IT and Operations at AGESIC said: “The Uruguay Digital Agenda 2025, in its fourth objective, highlights the importance of treating data as an asset. This involves optimizing the intensive use of data and information as a key factor for effective decision-making and efficient public management. The agenda also emphasizes ethical considerations, privacy, responsibility, transparency, and non-Discrimination. As the entity responsible for achieving this objective, AGESIC is using OpenShift and OpenShift AI to combine best practices in architecture and software development with governance processes.
Training and Future Plans
Furthermore, AGESIC tapped Red Hat Training to learn MLOps practices that complement its current DevOps processes and gain the needed knowledge to properly scale and democratize AI. Currently, AGESIC is working with national agencies in support of incorporating AI into specific applications. Moving forward, the agency is continuing its work with Red Hat. They will explore how it can use additional technologies like Red Hat 3scale API Management and Red Hat OpenShift Data Foundation to further innovation in the public sector.
Finally, combining the power of Red Hat OpenShift with Red Hat OpenShift AI gives AGESIC users the flexibility to explore opportunities for AI innovation across Uruguay while maintaining AGESIC’s standards and processes for AI usage.
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