The conversation around AI has changed – and agentic systems are at the center of it. From the boardroom to the data center floor, tech leaders across the region recognize that AI is now business-critical infrastructure.

In an era of increased complexity, the focus is on building a secure and sovereign AI supply chain – where trust is built in from the silicon level. Always-on, verified AI powered by infrastructure that delivers business continuity, flexing to any operational environment without compromising on security.

This keynote explores how agentic AI infrastructure is being engineered for operational resilience and security, helping enterprises navigate a shifting landscape with confidence.

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Lenovo’s latest Hybrid AI strategy positions the company as a leader in combining Personal AI, Enterprise AI, and Public AI into one connected ecosystem. Rather than relying only on cloud-based AI, Lenovo promotes a model where intelligence is distributed across devices, private enterprise environments, and public AI platforms to maximize speed, privacy, cost-efficiency, and productivity.

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The age of AI is rapidly transforming businesses but also accelerating the threat landscape, as bad actors utilize AI to scale attacks and bypass traditional defenses at machine speed. To combat this, a new security era is required, and Google is positioned to deliver it with a full AI stack built on the most secure cloud, offering Gemini-native agentic defense that automates response and can reduce the risk and cost of a breach by 70%. This defense is powered by Google’s unmatched visibility from the world’s largest threat observatory and the frontline expertise and real-world tradecraft of Mandiant.

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How SaaS solutions are transforming customer experience through integrated digital business strategies. It highlights aligning technology, data, and processes to deliver seamless, personalized interactions. Attendees will gain insights into leveraging automation, analytics, and scalable platforms to enhance engagement, improve retention, and drive sustainable business growth in a competitive digital landscape.

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The rise of Agentic Systems demands a new architectural substrate. Cloudflare explores how CIOs can move beyond “digitization” to provide the secure, low-latency, and compliant infrastructure necessary for autonomous agents to execute at scale—safely and lightning-fast.

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

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This session unveils GB Corp’s transformation journey in building a modern, scalable data ecosystem that turns data into a strategic business asset. It will showcase how we architected and seamlessly integrated core layers—data infrastructure, data operations, and data consumption—to establish a unified, governed, and business-ready data foundation.

The session will further highlight how a lakehouse architecture enables us to operationalize data at scale, delivering faster processing, enhanced accessibility, and near real-time insights across the enterprise. Most importantly, it will demonstrate how AI and machine learning are embedded into this ecosystem to unlock tangible business value, accelerate decision-making, and drive sustainable digital transformation at scale.

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This executive‑level session explores how organizations can maximize the business value of Microsoft 365 while strengthening security, resilience, and AI readiness. We will share practical insights on secure M365 migrations, data protection and compliance, and modern governance strategies. Learn how the AvePoint Confidence Platform helps leaders reduce risk, protect critical data, and confidently enable AI and Copilot—while maintaining control, visibility, and trust across the digital workplace

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AI holds enormous promise to transform organizations, from real-time efficiency optimization to truly predictive insights. Yet beneath the momentum, enterprise confidence is fragile, with a significant majority demanding far greater transparency into how their data is used.

In this session, we’ll explore how explainability, auditability, and governance must evolve alongside the algorithms themselves to unlock that trust. Ultimately, true AI maturity starts not with more models, but with robust frameworks that make AI reliable, safe, and accountable at scale. This is how we move from simply seeing AI’s potential to truly trusting its decisions.

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90% of enterprise AI use cases never make it out of pilot—not because the models fail, but because the integration foundation isn’t there. Without connected data, AI agents have no context, no fuel, and no real business impact.

Boomi’s session cuts through the noise to show how integration is the make-or-break layer for agentic AI. Learn how Boomi enables organizations to activate their data, connect their systems, and deploy AI agents that actually work — at scale, within guardrails, across any cloud or environment. Boomi gives CIOs the platform to move from AI experimentation to AI execution.

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In an AI-first world, success depends on secure, connected, high-quality, and well-governed data. OpenText helps organizations unlock AI’s full potential by unifying data sets across systems such as ERPs, CRMs, supply chains, content management and more, ensuring accuracy with zero hallucination and making sure AI is used in context, all of this in a compliant and secure ways. From ingestion and curation to search, summarization, and protection, we deliver secure information management that fuels smarter automation and scales to make your enterprise ready for the evolving demands of AI.

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Across the Middle East, organisations are accelerating investments in AI, analytics, and digital infrastructure. Yet new IDC research reveals a growing imbalance: while advanced technologies are rapidly adopted, data governance maturity is not keeping pace. This session explores what we call the “Governance Gap” and why it is emerging as one of the most critical challenges facing CIOs today. Drawing on IDC research and regional insights, we will examine the structural weaknesses in governance, metadata, and data quality that undermine AI initiatives and regulatory readiness. More importantly, we will discuss how organisations can move from periodic compliance exercises to embedded, operational data governance.

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Discover how organizations can embed AI across every layer of the business, from enhancing daily productivity and automating workflows to deploying intelligent AI agents that drive autonomous execution and measurable business value.

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