Singapore – 27 August 2026

Ned Lowe, CTO and Co-Founder, MISSION+

• Understanding architectural shifts needed for next-generation applications
• Adopting cloud-native DevOps practices (microservices, containerization, serverless)
• Identifying cloud-native capabilities teams must build by 2026

• Using machine learning to monitor, predict anomalies, automate incident responses
• Understanding practical AIOps tools and use cases relevant to Singapore’s industries

• Why shifting security “left and right” is now a mandatory DevOps capability
• Embedding security checks into CI/CD pipelines
• Understanding how to operationalize DevSecOps inside existing DevOps pipelines
• Identifying tools and processes that improve security without slowing down releases

• Digital transformation, massive cloud investment, AI momentum
• Addressing infrastructure gaps and talent constraints

Moderator:

Ned Lowe, CTO and Co-Founder, MISSION+

Panellists:

Anshul Johri, Group CTO, Validus

Moderator:

Ned Lowe, CTO and Co-Founder, MISSION+

Panellists:

Alberto Resco, Senior Director, Software Engineering, Singtel

Sathiyaseelan Murugaiayh, Head of DevOps/DevSecOps – SaaS, Circles

Brijesh Pandya, Director – Artificial Intelligence, Keppel

AI is making it easier than ever to ship features. Agentic coding tools can generate code, APIs, tests, UI flows, and pull requests at unprecedented speed. But faster feature delivery creates a new risk: teams may soon ship more software than they can operate with excellence.

This talk argues that the next phase of Agentic AI engineering is not just about building faster. It is about building AI Operable Products: products designed with observability, business metrics, end-to-end journey tracking, feature analytics, failure reconciliation, auditability, release safety, supportability, and continuous learning from day one.

Drawing from real-world experience leading Engineering, Digital Operations, SRE, and Cloud Infrastructure for digital banking systems serving more than 16 million customers, Khang Toh will share a practical model for moving from AI-assisted feature delivery to AI Digital Operations.

Khang Toh, Head of Engineering: Digital Operations, SRE and Cloud Infrastructure, DKatalis / Bank Jago

• The Shift from Chaos to Calm: Explore how modern SRE teams are using Generative AI to break free from the “toil paradox” (faster releases vs. constant alerts) and transition from reactive firefighting to proactive engineering.
• Real-World Efficiency Multipliers: Dive into practical, everyday use cases where AI-powered assistants streamline code reviews, optimize deployments, filter out data noise, and accelerate root-cause analysis.
• Navigating the AI Guardrails: Address the critical, real-world challenges of integrating GenAI—including hallucinations, data privacy, and compliance—with a focus on responsible, human-in-the-loop adoption.
• The Future of Agentic SRE: Walk away with actionable frameworks to transform your DevOps ecosystem from static dashboards into intelligent decision engines, turning 3 AM pager panic into measurable calm.

Sandeep Hooda, Executive Director – Site Reliability Engineering (SRE), DBS

Simplifying and Automating Kubernetes cluster management by integrating Model Context Protocol (MCP) with platforms like Azure Kubernetes Service (AKS). MCP acts as a bridge between AI assistants (e.g., GitHub Copilot, Cursor) and Kubernetes clusters, enabling natural language interactions for operational tasks.

Siva Yakkanti, Senior Member of Technical Staff, AMD

• What does an effective cross-functional DevOps product team actually look like in practice – and how do you structure responsibilities across development, operations, QA, and security?
• How do you choose between the different AI and DevOps tools amongst the many that are out there?
• If you had to invest in one capability today to future-proof your DevOps organization for the next few years, what would it be — and why?