Executive Summit

 As technology accelerates transformation, CIOs must evolve from IT enablers to strategic business leaders. This session explores how they can reimagine their influence, embrace ambiguity and become innovation partners.

 In this session, you will learn examples of:

• Driving innovation and leveraging AI, cloud and analytics for competitive advantage
• Balancing risk with agility and building future-ready tech foundations
• Redefining operating models and aligning IT with business strategy

Recent studies on GenAI initiatives reveal that many projects intended to drive rapid revenue growth fell flat due to flawed enterprise integration, misalignment in resource allocation, and a fundamental learning gap for both tools and organizations. What are the lessons learned from AI’s successes and failures that CIOs can apply to their own initiatives to increase the odds of success?

Join this session to examine:

• Assessing use cases for real value without falling prey to “AI FOMO”
• Designing flexible core architectures to experiment and scale AI projects quickly
• Balancing risk and trust in digital initiatives

You can’t unlock AI’s full value without rethinking your people strategy. The gap is widening between those riding the AI wave and those struggling to stay afloat. We’re pouring investment into platforms, models, and copilots, but what about our people? Without inclusive upskilling, AI won’t feel like empowerment; it will feel like exclusion.

Join this boardroom to discuss:

• The fundamental architectural necessities that AI is driving in technology and operations
• Aligning workforce AI proficiency as a core pillar of AI ROI
• Evolving talent strategy, org design, and change management in parallel with AI investments
• Building cross-functional partnerships to drive AI adoption and success

Details coming soon.

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.

With high volumes of sensitive data now flowing through web browsers, three in five organizations say data leakage is likely given current IT and security infrastructures. Stop playing catch-up. Discover new approaches to enterprise operations to reduce risk while simplifying operations.

Join this session to discover:

• How disparate IT and security solutions create technical debt
• What challenges impact internal and end user stakeholders
• How simplifying IT can strengthen security, and boost productivity

As AI agents begin automating tasks across the enterprise, CIOs face a new wave of integration complexity. With teams already stretched by competing priorities, the rise of agents further adds to the IT sprawl while the rapid adoption of MCP creates security and governance challenges that pose new risks to the business.

This session will explore how:

• Integration and APIs enable AI agents
• A full lifecycle MCP strategy will manage AI agent adoption and rollout
• A federated management approach will ensure unified security and governance across MCP endpoints

As hybrid work evolves and AI transforms workflows, the need for seamless, intelligent and proactive digital experiences is more critical than ever. How are today’s technology leaders investing in DEX in a way that improves workplace productivity and drives business outcomes?

Join your peers to discuss:

• Advancing through the digital workplace maturity model
• Harnessing AI to optimize digital workflows
• Building a resilient, future-ready IT foundation

Accelerating operational efficiency requires harnessing AI observability to streamline processes and enhance performance. CIOs must leverage automation and data-driven insights to optimize workflows, ensure reliability, and turn AI innovation into measurable efficiency gains.

Come together with your peers to discuss:

• Leveraging AI observability to proactively detect inefficiencies and improve enterprise operations
• Integrating automation with AI to streamline workflows, reduce operational complexity, and accelerate response times
• Aligning AI-driven insights with efficiency goals to achieve measurable improvements and sustainable performance