

AI Context (co-located with ContainerDays) Singapore
βAI Context (co-located with ContainerDays) Singapore πΈπ¬
β27-28 October 2026
βAI Context arrives in Singapore this October co-located with ContainerDays Singapore, bringing together the builders and decision-makers shaping the next generation of AI infrastructure and contextual applications.
βFollowing events across London, Berlin, Lisbon, Paris, and New York, and after our earlier Singapore gathering this year, this edition continues the conversation with the APAC ecosystem.
βCo-located with ContainerDays, the event explores the intersection of cloud-native infrastructure, platform engineering, and agentic AI systems, and how modern platforms, orchestration layers, and contextual AI are converging in real production environments.
βJoin 1,000+ attendees and 50+ global speakers for two days of technical depth, enterprise insights, and high-quality networking.
βWhat to Expect
βTwo parallel stages packed with technical depth and strategic insight:
β2 Parallel Stages:
βTech & Dev | Ops, Governance & Best Practice
β18+ Global Speakers:
βInsights from the forefront of the APAC and global AI, cloud-native, and platform engineering ecosystems.
βElite Networking:
βDedicated breaks, a hosted lunch, and our signature Closing Drinks, because the best conversations happen after the stage lights go down.
βThe Programme
βOur four-track curriculum explores the full lifecycle of contextual and agentic AI systems:
βContextual Experience
βDesigning AI-powered applications and workflows that work in real organisational environments.
βTech & Dev
βInfrastructure, developer tooling, orchestration frameworks, and platform architecture for contextual applications.
βOps, Governance & Security
βOperating AI systems safely at scale, covering observability, governance, compliance, and security.
βBest Practice
βReal-world case studies from leading APAC enterprises deploying contextual AI in production.
βWho Should Attend?
βBuilders
βDevelopers, platform engineers, and architects building AI infrastructure and modern application platforms.
βGovernors
βSecurity, compliance, and IT leaders responsible for deploying AI safely within enterprise environments.
βTransformation Leaders
βProduct, digital, and operations leaders driving AI-powered organisational change.
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