Agentic AI is reshaping the CIO’s role — from running systems to orchestrating an ecosystem of humans and autonomous agents. This roadmap covers strategy, AI-ready infrastructure, governance for autonomous action, and workforce transformation, helping CIOs move from pilots to enterprise-scale orchestration while managing risk, cost, and measurable business value

In this session, we’ll explore how organizations can turn experimentation into measurable business outcomes. Moving beyond scattered pilots, we’ll cover aligning deployments with business value, building governance and trust from day one, and equipping teams to scale AI responsibly across the enterprise.

As AI agents move from assistants to autonomous actors, the security stakes rise dramatically. In this session, we’ll explore the emerging risks unique to agentic systems, the governance and control frameworks needed to contain them, and practical countermeasures for securing autonomous AI at enterprise scale.

In this session, we’ll explore the compute and networking foundations enterprises need to support AI at scale — from GPU-rich architectures to elastic, high-performance networks built for the demands of an agentic future.

Generative AI is already reshaping how financial services and energy firms operate. In this session, we’ll explore early use cases across both industries, the value realized so far, and practical approaches to measuring ROI as these sectors move from experimentation toward scaled, sustainable AI adoption.

At the IDC CIO Summit, Ali brings a unique blend of executive leadership, strategic vision, and practical experience, sharing insights on how organizations can transform AI ambition into business outcomes while navigating the evolving challenges of governance, compliance, and cybersecurity.

Engage, Explore, and Network—Where Technology Meets Unforgettable Moments!

This session will explore how end-to-end AI observability can provide CIOs and technology leaders with deeper visibility into AI workloads—from model performance, data quality, and inference costs to application behaviour, security, and agent interactions. It will examine how organizations can proactively identify issues, optimize performance, manage risks, and build trust in AI systems while scaling from experimentation to production.

In today’s AI-driven world, data is the foundation for innovation, security, and growth, making resilience a strategic priority. This session explores how organizations can evolve their approach, align with business goals, and implement strategies that ensure recovery, security posture, and continuous operations in a landscape where identity, data, security, and AI are increasingly interconnected.

This session will explore how CIOs can move from AI pilots to scalable, outcome-driven agentic AI deployments—balancing autonomy and innovation with governance, security, data readiness, and trust. It will examine the foundations required to build an AI-ready enterprise and how technology leaders can prepare their organizations, people, and operating models for a future where AI agents work alongside humans to drive measurable business outcomes.

This session will explore the emerging role of observability in agentic environments, providing visibility across agents, models, tools, workflows, and data. CIOs will gain insights into building transparent, measurable, and governed agentic ecosystems that can scale with confidence while maintaining security, reliability, and trust.