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Sopra Steria and Red Hat Expand Their Partnership for AI

In an exciting development, Sopra Steria has revealed the broadened scope of its strategic partnership with Red Hat, a global leader in open-source solutions. This collaboration aims to industrialize government-ready embedded AI systems that can function from centralized data centers down to the most remote field operations. The announcement was made on the inaugural day of Eurosatory, emphasizing the focus on environments where AI deployment can be particularly challenging but also crucial for operation.

The Importance of Reliable AI in Critical Environments

As sectors like defense, utilities, and critical infrastructure depend heavily on data control, maintaining operational integrity during connectivity interruptions is paramount. Sopra Steria, recognized for its strong foothold in regulated sectors and critical systems, is set to launch its first fully open-standard-based industrialized edge computing solution. While many organizations have successfully experimented with AI technologies, the transition from concept tests to reliable field operations remains a significant hurdle. Red Hat contributes foundational open-source components, which Sopra Steria then integrates, secures, and operates as an accredited and deployable system for actual field usage. Together, they aim to facilitate organizations in moving from pilot projects to production-scale intelligence.

A Holistic AI Lifecycle in a Hybrid Cloud Environment

This initiative encompasses the entire AI lifecycle within a unified hybrid cloud environment. Utilizing Red Hat OpenShift AI, the partnership centralizes model training and lifecycle management. Moreover, with Red Hat Device Edge, lightweight models can run on devices in the field with severely limited resources. Red Hat Edge Manager automates maintenance and updates for large device fleets, including those operational under degraded or intermittent connectivity conditions.

Real-Time Intelligence for Critical Sectors

This synergistic effort offers an industrialized lifecycle for edge applications, enabling faster processing while ensuring operational continuity when local decision-making is necessary. Here are some specific applications of this approach:

• - Transport and Fleet Logistics: Accelerating real-time anomaly detection and predictive routing algorithms directly on embedded electronics integrated within mobile transport networks, thus optimizing system availability.
• - Public Terminal Infrastructure: Ensuring secure data filtering and immediate diagnostics at health and safety terminals in the field, maintaining local operational continuity even when disconnected from centralized systems.
• - Regulated Communications and Signal Processing: Bringing distributed AI inference directly onto low-power field devices and limited hardware environments, allowing for real-time processing while minimizing latency.

Automated Open-Source AI Production System

At the core of this partnership lies an end-to-end automated open-source AI production system built on a consistent hybrid cloud environment leveraging Red Hat technologies. This infrastructure is designed to enhance the deployment of critical AI capabilities where they matter most.

In conclusion, the expansion of Sopra Steria's collaboration with Red Hat marks a significant advancement towards developing robust, field-ready AI solutions. With the capabilities to process data seamlessly across various operational contexts, organizations can expect enhanced performance in critical applications, thereby driving efficiency and resilience in an increasingly digital world.

For more information, media contacts: Aurélien Flaugnatti, [email protected]