Singapore – 27 August 2026

Ned Lowe, CTO and Co-Founder, MISSION+

• Rethinking the infrastructure stack when your primary user is an agent alongside engineer — components, purpose, and the opinionated choices that hold up in production
• Inside the dev sandbox: giving agents ephemeral, isolated environments to write, run, and break code without ever touching production
• Agents running the platform itself — automated service provisioning and a continuous infra watcher that catches drift before anyone files a ticket

Rajath Ramesh, Senior Director of Engineering, Carousell Group

Edward Samuel Pasaribu, Principal Software Engineer, Carousell Group

Emilea Teo, Sales Engineer, Datadog

• AI ships your bugs faster now. The bottleneck moved downstream: how do you chase it?
• The QA Squeeze is real. How do you shift system testing left with AI and keep pace?
• DevOps is the gateway every change must pass. How do you get AI clearing the toil and the noise, down to root cause in minutes?
• Vibe-coding got you here, it won’t get you further. How do you make the shift to spec-driven development and spend your time where it matters?

Brian Claus, Director, Cloud & Platform Solutions, Ollion

• AI, Cloud and Digital Infrastructure
• Addressing infrastructure gaps and talent constraints

Moderator:

Sergiu Bodiu, CTO, CloudOpsLab

Panellists:

Anshul Johri, Group CTO, Validus

Yogesh Gaikwad, Chief Information and Technology Officer, Prudential

Akashdeep Saksena, MD, Head SRE & DevOps, OCBC Bank

Moderator:

Ned Lowe, CTO and Co-Founder, MISSION+

Panellists:

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

Brijesh Pandya, Director – Artificial Intelligence, Keppel

Arun Singh, Chief Security Adviser, Aikido Security

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 Engineering & DevOps 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 Engineering & DevOps organization for the next few years, what would it be — and why?

Moderator:

Ned Lowe, CTO and Co-Founder, MISSION+

Panellists:

Arabinda Das, VP – Technology Services and Engineering, TD

Ketan Mujumdar, Founder, Artidev Labs

Nabila Khan, Enterprise Account Manager, CodeRabbit

Ashish Verma, Chief AI Officer, TempoMesh, ex-DBS