Arrive Early & Stand a Chance to Take Home a Mini Robot!

AI, predicted to have a $19.9 trillion impact on the global economy by 2030, is reshaping economic landscapes, creating new revenue streams, and redefining competitive advantages. This session will provide unique insights and analysis drawn from IDC’s extensive study of CIOs and key decision-makers across ASEAN. It will provide a deeper understanding of current and planned AI strategies and use case road maps, covering key topics such as AI-ready data, unified governance, fit-for-purpose and scalable infrastructure, and AI talent.

In the era of AI and accelerating digital transformation, organizations must integrate traditional data management disciplines (resilience, security, privacy, governance) into a single, cohesive strategy to safely and confidently harness the power of AI. Relying on fragmented tools and approaches is too slow for the speed at which AI operates and the sophisticated threats it introduces.

AI is no longer a science project—it’s a board-level mandate. Yet most organizations are stuck between moving too slowly and spinning up disconnected pilots that create risk, sprawl, and low ROI. In this session, we’ll unpack how an open, horizontal Work AI platform and a shared enterprise context layer can turn AI from scattered tools into a trusted, company-wide capability that transforms people, processes, and platform. You’ll see how leading enterprises are using Glean to unify context across their apps, safely deploy multi-model agents, and deliver tangible outcomes—from 25%+ productivity gains and faster feature velocity to higher win rates, better CSAT, and AI initiatives you can finally scale with confidence.

Agentic AI is shifting from experimentation to execution.

AI agents are no longer just generating insights — they are interpreting data, making decisions and triggering automated actions across core business processes. As autonomy increases, so does exposure. In this environment, trust is not a policy statement. It is an operating requirement.

Across Asia Pacific, organisations face fragmented and evolving AI regulation, emerging safety standards, increasing privacy scrutiny and growing contractual obligations around AI use. Governance expectations are rising faster than formal regulation — and accountability increasingly sits with the CIO. Trust cannot be retrofitted after deployment. It must be engineered into the AI agent life cycle — from data access and reasoning to decision logic, execution and continuous learning.

In this session, Deepak explores how CIOs can design AI agents that deliver business velocity without sacrificing control, transparency or defensibility.

This session will explore:

• Why trust erodes faster in autonomous systems than in traditional AI
• What “defensible decisions” look like in agentic environments
• How explainability, bias controls and lifecycle governance enable adoption
• Why trust is becoming a measurable business KPI — not a communications exercise
• How to embed governance into AI architecture without slowing innovation

As AI agents take on more responsibility, the question is no longer whether they perform — but whether you can confidently stand behind the decisions they make.

The landscape of customer experience is rapidly evolving, shaped by technological advancements and shifting organizational priorities. In order to anticipate demand and respond quickly, organisations will need to transform and enhance their capabilities to anticipate customer demands. The shift to an AI-first customer experience strategies allow organizations resolve issues faster, support agents more effectively, and deliver experiences customers actually trust. Discover how you can turn AI innovation into business acceleration – empowering your organisation to automate workflows, orchestrate journeys, and elevate every customer interaction through intelligent, connected AI agents.

As customer interactions multiply across channels, organizations must move beyond fragmented CX data toward insight-led decision-making. This session explores how AI can be applied across every customer interaction to transform experience data into actionable intelligence. Attendees will gain perspectives on using AI to enable personalization at scale, improve operational efficiency, and directly link CX initiatives to measurable business outcomes.

Wrap up the Summit with an evening of cocktails and networking, designed for deeper conversations and valuable connections.