Executive Summit

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

As AI assistants proliferate across enterprise platforms, CIOs face mounting challenges: fragmented intelligence, siloed data, and inconsistent governance that threaten innovation and measurable business outcomes. The answer isn't just integration—it's transformation. By deploying AI colleagues across back-office operations, CIOs can operationalize AI to modernize the application portfolio, strengthen cybersecurity, and drive enterprise-wide innovation. With the right architecture, AI colleagues don't just augment work—they automate it at scale, turning disruption into opportunity even amid competing priorities and resource constraints.

Join this session to explore:

• Architecting a seamless, enterprise-wide agentic AI layer for operations
• Breaking down silos to unlock cross-functional innovation and measurable value
• Ensuring robust governance, security, and risk management with enterprise AI

Why learn from one peer when you can learn from three? In this unorthodox—but highly effective—breakout session, you’ll hear from multiple members of your community. Each speaker will take the floor for 10 minutes to share the most valuable lessons they’ve gleaned from their time in leadership.

AI and automation are no longer just tools for efficiency; they’re central to shaping enterprise strategy. By embedding AI into core processes, organizations can transform customer engagement, empower employees, and drive measurable business outcomes.

Join this boardroom session to discuss:

• Accelerating enterprise operations with AI-driven automation
• Elevating customer experience by responding to changing business needs
• Scaling transformation securely with compliant, AI-enabled solutions

CIOs are navigating a new era where building AI prototypes is fast and accessible but maturing them into enterprise‑wide capabilities demands new strategies. How can business-driven innovation be scaled without creating tomorrow’s legacy debt?

Join this boardroom to discuss:

• Turning rapid AI pilots into resilient, scalable solutions
• Co-owning initiatives across the business while protecting core systems
• Shaping the CIO’s influence as AI transforms enterprise leadership

Open to Gartner Clients Only - Please Contact Zander Petersen (zander.petersen@gartner.com) to Reserve Your Seat. 

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.

 Explore how organizations can effectively navigate talent and change management by upskilling their IT workforce to meet the demands of tomorrow’s technology landscape.

AI is reshaping the economics of cyber risk. Attack surfaces are expanding, threats are accelerating, and traditional reactive security models are reaching their limits. Today, risk stems not only from external adversaries but also from the rapid adoption of internal AI tools—often deployed with excessive permissions and limited oversight. How can organizations move from incident response to preemptive cybersecurity, identifying and addressing vulnerabilities before they’re exploited?

In this session, you will learn how to:

• Build resilience at scale with proactive security measures
• Reduce operational friction by addressing vulnerabilities early
• Shift from constant firefighting to engineered fireproofing

AI initiatives rarely stall due to a lack of tools; they stall when teams can’t reliably access, trust, or use the data they already own. For many enterprises, the richest records are found in data history, yet this data is often locked away, costly to retrieve, and difficult to govern across accounts, regions, and platforms. What opportunities can CIOs create by making historical data easily usable and accessible—even during outages or disruptions?

In this session, you will learn how to:

• Enable data history for AI without rebuilding pipelines
• Implement scalable governance and ensure resilient data access
• Minimize duplication to control growth and reduce costs

Every CIO has an AI project that didn’t go as planned—but those stories rarely get told. Let’s swap real-world experiences and uncover the lessons that turn setbacks into future success.

Join this boardroom to discuss:

• Identifying root causes of AI project failures
• Sharing practical recovery strategies and pivots
• Building a culture of transparency and peer support