Executive Summit

Data and metrics may inform decisions, but they rarely inspire action. Executives move when logic connects with emotion, and too often, business cases rely on rational outcomes alone while overlooking how leaders show up in the room. As expectations rise to clearly justify technology and transformation investments, influence now depends not just on what leaders say, but how confidently and credibly they say it.
In this keynote, you’ll hear from Gartner Distinguished VP Analyst Vimarsh Bakaya on how combining business value stories, human value stories and executive presence helps leaders build trust, command attention and move stakeholders from understanding to action.

In this keynote, you’ll learn how to:

• Build business value stories executives trust
• Strengthen executive presence through human value storytelling
• Combine logic and empathy to drive decisions

AI adoption is accelerating, but most organizations lack the structure to deploy it safely and at scale. This session breaks down how Daikin Applied built an enterprise-ready AI framework that balances governance, innovation, and measurable business value.

In this session, you’ll learn how to:

• Build scalable enterprise AI governance
• Structure an effective AI Center of Excellence
• Quantify business value from AI use cases

 The era of experimental AI is over. Today’s banking leaders are deploying autonomous agents and unified AI development platforms to orchestrate human-AI teamwork, streamline complex workflows, and bridge the gap between legacy systems and modern automation. Discover how agentic AI is enhancing security, enabling real-time operational improvements, and redefining customer experience.

Join this session to learn about:

• Integrating AI agents with existing workflows
• Enhancing security and streamlined operations
• Overcoming deployment and compliance challenges

As autonomous AI agents take on increasingly complex, multi-step tasks, CIOs are navigating a new frontier of risk, security, and governance. The shift from "human-in-the-loop" to "human-on-the-loop" demands robust enterprise guardrails that protect data without stifling innovation. In this interactive boardroom, technology leaders will discuss how to safely deploy agentic systems while maintaining data integrity, compliance, and organizational trust.

Join this session to explore:

• Establishing secure frameworks for autonomous agent operations and data access
• Balancing rapid enterprise AI innovation with compliance and data security
• Evolving security operations to monitor and audit agent-to-agent interactions

As AI adoption accelerates, organizations face a new era of autonomous action. Agentic AI can reason, plan, and execute across workflows, but few have successfully scaled these systems.

In this session, you’ll discuss:

• Balancing speed, security and trust for autonomous AI
• Moving agentic AI from pilot to production
• Scaling agentic AI responsibly

Connect with like-minded peers in a one-on-one setting through Peer-to-Peer Meetings. You will be matched with peers in your community based on your shared interests and priorities.

As AI tools reshape the future of work, CIOs must balance innovation with governance and compliance. Responsible enablement means addressing risks from “Shadow AI” and supporting end users with safe, effective strategies. Strengthen oversight while empowering your workforce for tomorrow.

Join this session to discuss:

• Risks from unmanaged tools and end-user practices
• Safe adoption policies
• Maintaining governance and visibility

AI is scaling faster than organizations can control. As systems act autonomously across data and workflows, the real risk is loss of control, integrity, and recoverability. Establishing operational trust ensures systems are governed, impact is contained, and operations are restored when failure occurs.

Join this session to explore how to:

• Maintain control as AI systems act autonomously
• Ensure integrity of data and decisions under real-world conditions
• Recover to a clean, trusted state when AI-driven systems fail

Artificial intelligence is entering a new phase. No longer limited to generating insights, modern AI systems are beginning to act — initiating workflows, interacting with applications, and making decisions at machine speed. As agentic AI systems become operational participants inside enterprise environments, this session explores how enterprises can safely scale AI by establishing governance across identity, authority, behavior, and data, while enabling innovation without introducing unmanaged risk.

Attendees will learn:

• How to control the authority, behavior, and data access of autonomous systems operating across complex digital ecosystems
• The emerging governance model, enacted through a real-time control plane, to address authority drift, misconfigured permissions, and unintended AI behavior
• A practical framework and architecture for governing AI at enterprise scale