Executive Summit

Transformations rarely fail because of technology -- they fail when leaders allow competing priorities and dysfunctional behaviors to derail decision-making. If it feels like you've seen this movie before, it's because you have; these are the same patterns that have plagued transformations for decades. But as AI demands deeper collaboration across functions than any previous wave of innovation, unresolved leadership dynamics, organizational politics, and misaligned incentives become harder to ignore. The key to creating lasting change is recognizing and breaking these patterns before they become barriers to progress. That is what transforms a technology leader into an influential business leader.

Join this keynote to explore:

• Building executive influence by creating alignment around outcomes, not activities
• Navigating tradeoffs, competing priorities, and uncertainty with greater credibility and confidence
• Moving beyond functional expertise to become a catalyst for business decisions

AI can now find and exploit a vulnerability in minutes — faster than any patch cycle or IT team can respond. For CIOs, this is a business risk, not just a security issue: the gap between attack speed and response speed can now disrupt operations. This is where autonomous remediation comes into play.
Join this session to learn:

• Why the gap between attack speed and IT response is now a business risk
• How automatic remediation cuts risk without more headcount or work
• What this shift means for how you prioritize risk, budget and technology

AI is reshaping IT, but true enterprise adoption takes more than new tools. Hear how Gagan Singh, SVP and CIO of Ascension, equips leaders and teams at every level to confidently navigate and champion AI-driven transformation, and discover practical strategies you can apply in your own organization.

Join this session to explore:

• Guiding IT teams through AI-powered change
• Fostering a mindset of ongoing learning
• Maintaining momentum for lasting talent development

As enterprises shift from human‑driven to human‑supervised operations, AI has introduced new forms of complexity that traditional monitoring can’t explain. The challenge is no longer whether systems are up, but whether leaders can clearly understand how decisions are made, where risk accumulates and why performance or cost changes in unexpected ways.

Join this session to discuss:

• Where visibility breaks down in AI‑driven, hybrid and multi‑cloud environments
• Why “nothing is down” no longer means systems are operating as intended
• How CIOs re-establish transparency and trust as autonomous actions scale

AI is enabling employees across the business to build apps, agents, and automation at an unprecedented speed. While this unlocks significant productivity and innovation, the result is a wave of, "wild code": AI-generated solutions developed outside traditional IT governance. As organizations struggle to balance speed with security and control, conventional approaches are proving insufficient. This session will explore how teams can build, run, and monitor AI-created work with governance embedded throughout.

Join this session to:

• Understand the risks, cost, and overall business impact of "wild code"
• Recognize why traditional governance models fall short in the AI era
• Learn how to scale AI-driven innovation without sacrificing security or control

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.

Join this session to explore one of the community's top priorities this year: Evolving IT Strategy, Governance & Operative Models. Gain insights into key challenges, emerging approaches, and practical applications to help you navigate what's next.

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

 As AI transforms business operations and erodes longstanding biases, CIOs face renewed questions about how to balance building in-house solutions versus buying from vendors. What does today's decision framework look like as executives weigh multiple variables including speed, scalability, competitive advantage, and proprietary control?

Join this session to discuss:

• Reassessing build vs. buy in the context of AI innovation
• Weighing competitive advantage against cost, speed, and risk
• Anticipating future orchestration models for hybrid technology strategies

Enterprise governance was built for a human decision cycle: submit, approve, execute, close. AI agents don't work that way. As intelligent systems become embedded across workflows, CIOs must balance innovation, accountability and operational control without slowing the business.

In this boardroom, we’ll discuss:

• Evolving governance models for AI that operate continuously across workflows and decisions
• Creating visibility, accountability and trust without introducing new layers of bureaucracy
• Moving from task automation to outcome orchestration across teams and functions