As Saudi Arabia accelerates its Vision 2030 digital transformation agenda, agentic AI is emerging as the defining force reshaping how enterprises operate and compete. With global IT spending at its strongest growth since 1996 and enterprise AI spend projected to reach $1 trillion by 2029, the infrastructure is ready — but execution remains the critical gap.

This keynote will draw on the latest IDC research to help CIOs navigate the agentic shift: from deploying and managing agents at scale, to agentifying core business processes, to building the cross-functional leadership needed to turn AI ambition into measurable outcomes. Attendees will leave with a practical framework for leading their organizations into the agentic future.

Saudi Arabia has set out an ambitious target: to become a global AI powerhouse. Backed by a national investment of $100 billion tied to Vision 2030, the Kingdom has built its own Arabic-language model, developed sovereign data infrastructure, and structured global technology partnerships on its own terms. Saudi has already been ranked one of the world leaders in government AI strategy, and its AI talent base has grown faster than almost any other market globally. This panel brings together the Kingdom’s national policy leadership and its leading CIOs to discuss what makes this model work in practice and what the rest of the world can take from the way Saudi Arabia is building its own path to AI leadership.

Most organizations have already invested in AI. Very few have control over it.

As AI adoption accelerates, the challenge is no longer experimentation; it is governance, cost accountability, and the ability to scale AI across the enterprise with confidence. At the core of this challenge lies a critical foundation many organizations underestimate: data readiness. Without unified, reliable, and accessible data, AI initiatives remain fragmented, limiting both impact and scalability.

This executive session explores how leading organizations are moving beyond isolated pilots by strengthening their data foundations and introducing a structured, AI-Native operating model one that enables them to govern, measure, and truly own their AI strategy at scale.

This session explores how enterprises can bridge the “last mile” of AI—the critical gap between experimentation and real business impact. It highlights how stronger data foundations, governance, cloud infrastructure, cybersecurity, and operating models can help organizations move beyond isolated AI pilots and build scalable, secure AI capabilities that drive growth, efficiency, resilience, and trust.

AI has changed the speed of business. It has also raised the stakes for trust, control, and execution. This session will provide a glimpse into how trusted innovation and decades of proven experience can ensure resilience & control in the AI era, for systems, workflows, and environments that cannot fail in an enterprise.

Enterprise AI has moved beyond experimentation; the real challenge now is scaling it securely, reliably, and cost-effectively across the organization. This session, led by Cloud4C leadership, explores the critical foundations that determine AI and agentic readiness—modern infrastructure, trusted data, AI-driven pre-emptive and proactive cyber defense, and robust operational governance. It will offer practical insights to help technology leaders identify gaps, strengthen enterprise resilience, and move AI from promising pilots to sustainable production at scale.

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