AI Observability: The Control Plane for Resilience in the Agentic Era

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Stay in control with AI-powered operational insights

Thailand is at a pivotal moment in its digital transformation. The market is set to exceed $9 billion this year and virtual banks are about to go live. Platforms like PromptPay are already processing over 75 million digital payment transactions daily, signalling a strong shift toward cashless systems.

At the same time, global tech giants are investing billions in data centres. The government’s Thailand 4.0 vision is more than just a strategy; it’s a complete overhaul of the national economy. But time is running out. The real risk lies in the growing gap between ambition and execution.

The Complexity Nobody Talks About

For IT leaders across Thailand, the challenge isn’t ambition but complexity. Rapid change, cloud layered on legacy systems, containers beside ageing apps, and new AI models create fragmented tech stacks that traditional monitoring tools can’t manage.

This challenge spans industries. Whether it's manufacturers running IoT with legacy ERP systems, hospitals scaling telemedicine or retailers merging online and offline stores, the core issue is the same. Organisations are struggling to manage systems that are hard to monitor, control and optimise.

When Speed Outpaces Visibility

As digital transformation accelerates, backend complexity is outpacing many organisations. Banks and fintechs are moving to hybrid and multi-cloud setups, while virtual banks meet regulatory deadlines and incumbents add AI services, open APIs and embedded finance

When issues arise, the question is no longer just “what broke?” but “where did it break and how long will it take to identify it?” For many organisations, the answer comes too late. The talent gap in cloud and observability skills is real and IT teams are stretched thin, dealing with more complexity than ever.

Resilience is the New Benchmark

In Thailand’s digital economy, operational resilience is now the key measure of success. As digital services become critical, systems must scale, stay up, recover quickly and keep running. Data centre capacity is set to triple by 2027 and the software industry is growing rapidly. As digital services become more critical, there’s less tolerance for downtime. Payment platform failures, hospital outages and manufacturing halts can disrupt services instantly.

For organisations still relying on reactive monitoring, resilience is out of reach. The benchmark for 2026 is catching issues before they affect customers.

AI Observability: Navigating Complexity with Confidence

AI observability is essential for operational efficiency, especially as organisations adopt Agentic AI to drive autonomous operations. AI-powered tools offer real-time insights across systems, helping organisations detect issues early and maintain smooth operations in hybrid and multi-cloud environments.

In today’s AI-driven world, continuous monitoring and optimisation are crucial. Traditional monitoring systems can’t keep up. Agentic AI enables dynamic systems that generate real-time insights and quickly pinpoint root causes, all without the need for large specialised teams.

Delegates will have the opportunity to:

• Gain end-to-end visibility across systems and enable data-driven decisions

• Support AI and autonomous operations with real-time insights

• Accelerate AIOps with root-cause analysis and faster incident resolution

• Move confidently from pilots to production, ensuring stable AI initiatives

• Strengthen resilience with secure, auditable insights for uninterrupted operations

Who should attend

• Chief Information Officers
• Chief Technology Officers
• Chief Digital Officers
• Chief Operating Officers
• Chief AI Officers
• Directors and Heads of IT
• Directors and Heads of IT Strategy
• Directors and Heads of Application Strategy
• Directors and Heads of Application Development
• Directors and Heads of Application, SRE and DevOps
• Directors and Heads of Platform
• Directors and Heads of Digital Transformation
• Directors and Heads of Digital Strategy
• Director and Heads of IT Infrastructure
• Directors and Heads of Operations
• Directors and Heads of Business Information
• Directors and Heads of Data and Analytics