Early Birds Win Big: First 50 Delegates Win a Dancing Robot!

Every CIO is under pressure to “do something” with agentic AI — but most organizations are stuck between flashy pilots and real production value. In this session, Ram Tallavajhala, Principal AI Engineer, will share Boomi’s practical framework for AI business transformation, built from our own experience. You’ll learn why the most successful agentic systems aren’t “AI everywhere” — they’re a deliberate hybrid of deterministic automation and probabilistic reasoning, applied with the right level of human oversight for each use case.

The data is in better shape. The AI pilots are running. And yet the work that matters most still tends to land somewhere other than where it was meant to. This session explores that quiet gap between what organisations set out to do and what actually gets delivered, and why it’s becoming harder to ignore as AI takes on more of the work. You’ll leave with a sharper way to see it in your own initiatives and a question worth taking back to your team.

Only 1 in 20 AI deployments deliver measurable ROI. Why? What can enterprise leaders do about it? New research from Actian reveals a clear connection between data products, data contracts and AI success. In this session, Actian will share the biggest findings from our global survey of enterprise data leaders, along with practical data governance and operational guidance to successfully scale AI deployments and avoid dead-end experimentation.

The session will feature simultaneous roundtable discussions in the main plenary area for each partner, with 8–10 delegates seated at each table for interactive, discussion-led conversations. Please note that no presentation screen will be provided during the roundtable discussions. Should facilitators wish to share any materials or visuals, these will need to be shown using their own devices or be printed.

Honouring the innovators powering the future of enterprise

Physical security remains the last legacy silo in ASEAN’s enterprise tech stack. Discover how Verkada’s cloud-native, AI-powered platform consolidates video, access control, and sensors into one command center. Learn how leaders like foodpanda, Canva, and Signify reduce TCO, eliminate fragmented NVRs, and turn real-time physical insights into strategic enterprise resilience.

AI initiatives across ASEAN often stall because leaders cannot trust “black-box” outputs. To bridge this trust gap and unleash true AI velocity, organizations must transition from managing VUCA to adopting Alteryx’s VURA framework.

This session explores how to establish a robust business logic layer that makes your data pipelines Visible, Understandable, Repeatable, and Auditable. Learn how to turn complex datasets into explainable, compliant, and trustworthy assets—transforming AI from a risky experiment into a predictable, high-velocity engine for enterprise scale.

AI pilots often prove what is possible, but production AI proves whether the economics work. This session helps business and technology leaders understand the shift from experimentation to scalable enterprise AI, where token usage, inference costs, GPU utilisation, data sovereignty and governance all influence the business case.

Digital Realty will explore how organisations can evaluate the inflection point between public cloud consumption, hybrid models and dedicated Private AI infrastructure. The session provides practical lens on ROI, TCO, cost attribution and workload placement, helping leaders understand how to scale AI with greater predictability, financial control and operational confidence.

Asian enterprises have moved past AI experimentation — but most agentic AI still lives in isolated pilots, not core operations. The gap isn’t ambition, it’s execution: autonomous agents are probabilistic, while mission-critical processes demand deterministic, and auditable control. Closing that gap takes more than plugging agents into existing workflows — it takes rethinking the process itself. Camunda shares how leading enterprises are reengineering core processes around AI agents, legacy systems, and human oversight to move agentic AI from silo to scale, without losing visibility or compliance.

A look at how Saudi Arabia is transforming data into a strategic national asset — exploring the vision, architecture, and impact of its National Data Bank in driving innovation, informed decision-making, and long-term economic value across the Kingdom.

Honouring the innovators powering the future of enterprise

In an era of escalating cyber threats and growing regulatory demands, measuring the business impact of security investments has never been more important. This discussion will examine how organizations can translate cyber resilience into tangible business outcomes and gain board-level confidence in their security strategies.

Agentic AI moves from answering questions to taking action autonomously. Agents plan multi-step tasks, call tools and APIs, work across systems and make decisions in real time. That changes what enterprise infrastructure must deliver. Agents need low-latency access to data wherever it lives: across clouds, SaaS platforms, partners and the edge. They also need to meet data sovereignty and residency rules. Many enterprises want to scale agentic AI, but few feel ready for autonomous workflows.

This workshop brings together technology leaders to discuss practical questions on infrastructure choices for hosting enterprise agents. Each table will take one question and share key insights with the room. The result is a peer-built view of what an “agent-ready” infrastructure looks like.