Red Hat opens Singapore AI centre to pull enterprises out of pilot purgatory
Southeast Asia does not have a shortage of AI pilots. It has a shortage of AI pilots that ever leave the lab. A recent regional survey found that 57 per cent of SEA firms can’t scale their AI pilots, a stretch of corporate limbo now known in industry jargon as the “frozen middle”. Red Hat, […] The post Red Hat opens Singapore AI centre to pull enterprises out of pilot purgatory appeared first on…
Southeast Asia faces a lack of AI pilots that transition from the lab to real-world use. Red Hat, an IBM-owned open-source software company, aims to assist with this challenge. On Thursday, Red Hat opened an AI Centre of Excellence (CoE) in Singapore, backed by the Singapore Economic Development Board (EDB). The centre's first collaborator is the Defence Science and Technology Agency (DSTA), which develops technology for the Singapore Armed Forces.
Red Hat's approach is to help organizations move AI from experimentation to production using its open-source stack and engineering staff. The CoE's engineers will work on building reusable software architectures and contributing code to shared open-source projects. Red Hat emphasizes system deployment, runtime optimization, and platform management as priority areas.
The DSTA tie-up is the most concrete aspect of the launch, focusing on AI, cloud computing, application modernization, edge computing, DevSecOps, and "Day 2 operations." The collaboration aims to develop solutions and set up practices for maintaining systems after launch. Red Hat is also framing the CoE as a skills play, offering training in software engineering, automation, cloud-native development, and DevSecOps.
Singapore firms are seeking staff capable of building and managing autonomous systems, and agentic AI is a high-demand skill in the city-state. Red Hat's main advantage is its portability, arguing that enterprises and governments should not have to rely on a single hyperscaler for their AI future.
Written by urgent.news from e27's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.