Why Attend?

What Will You Gain?

Learn from the Best

Hear directly from IDC analysts, global experts, and pioneering CIOs on how to scale AI, GenAI, and agentic systems across industries.

Discover Real-World Use Cases

Gain insights into how leading organizations are implementing AI-driven automation to improve agility, resilience, and customer value.

Future-Proof Your Strategy

Understand the long-term business implications of agentic systems, ensuring your organization thrives in a rapidly evolving digital economy.

Master AI Security & Trust

Explore strategies to tackle data privacy, AI observability, model integrity, and digital trust challenges.

Cloud as the AI Foundation

Discover how cloud platforms, edge computing, and 5G enable scalable, secure, and sovereign AI deployments

Key Themes

The CIO as Business Strategist

CIOs have evolved from operational leaders to enterprise strategists. As digital transformation reshapes every business model, technology leadership now defines competitiveness. Today’s CIO must align IT priorities with business outcomes, influence the boardroom agenda, and drive innovation that delivers measurable value.

Modernization, Legacy and Technical Debt

Managing technical debt is no longer just a maintenance concern, it’s a strategic priority. Modernizing legacy systems, simplifying architectures, and optimizing cost structures allow organizations to shift resources from upkeep to innovation. Streamlined technology portfolios create the agility needed to compete in a digital economy.

The Agentic AI Revolution

Agentic AI marks a shift from automation to autonomy. How CIOs can govern, scale, and integrate autonomous AI systems responsibly (balancing opportunity with oversight to create intelligent, self-directed enterprises.

Resilience by Design

Resilience is emerging as the defining capability of modern enterprises. Adaptive architectures, secure infrastructure, and integrated continuity planning enable organizations to withstand disruption (whether from economic uncertainty, regulatory shifts, or cyber threats) while sustaining growth and trust.

Event Highlights & Key Topics

Cybersecurity, Trust, and Digital Sovereignty

As digital ecosystems expand, trust becomes a critical currency. CIOs must address cybersecurity, data sovereignty, and compliance in tandem, ensuring that cloud strategies and cross-border operations align with evolving regulations. Building digital trust creates both protection and competitive advantage.

Building the Intelligent Enterprise

Data is the foundation of every intelligent organization. Reliable, governed, and accessible data architectures enable AI, automation, and analytics to operate at scale. Enterprises that invest in strong data foundations are better positioned to extract insight, anticipate change, and deliver smarter, faster business outcomes.

Empowering IT to Lead Innovation

CIOs are redefining how innovation happens inside the enterprise. By shifting IT from a support function to a strategic driver, organizations can establish the structures, skills, and funding models that make experimentation sustainable and value creation continuous. This evolution empowers IT to partner with the business, accelerate transformation, and embed innovation into the enterprise’s DNA.

Value Realization and IT-Business Alignment

Technology investments only matter when they drive business impact. CIOs must link digital initiatives to key performance metrics, track value creation, and translate innovation into measurable outcomes. Alignment between IT and business objectives ensures transformation delivers tangible enterprise returns.

People, Culture, and the CIO Talent Agenda

The human dimension of transformation is decisive. Building future-ready teams requires new skills, leadership mindsets, and cultural adaptability. CIOs must champion digital literacy, change readiness, and collaborative cultures that empower employees to thrive alongside intelligent technologies.

Sustainable and Responsible Leadership

CIOs are at the forefront of balancing innovation with environmental and economic responsibility. As AI and high-performance workloads increase energy and resource demands, technology leaders must optimize infrastructure for efficiency (reducing power, water, and carbon costs while advancing sustainability goals).Responsible leadership means aligning IT modernization with ESG commitments, operational savings, and long-term enterprise resilience

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