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AI market evolution: Data and infrastructure transformation through AI

CIO

The majority (91%) of respondents agree that long-term IT infrastructure modernization is essential to support AI workloads, with 85% planning to increase investment in this area within the next 1-3 years. While early adopters lead, most enterprises understand the need for infrastructure modernization to support AI.

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2025 Middle East tech trends: How CIOs will drive innovation with AI

CIO

The Middle East is rapidly evolving into a global hub for technological innovation, with 2025 set to be a pivotal year in the regions digital landscape. AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance.

Trends 158
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Oracle’s growing impact in the Middle East: Driving AI and cloud innovation

CIO

These new regions are a testament to Oracles confidence in the regions ability to drive innovation, especially as both countries ramp up their efforts to become global leaders in AI and cloud computing. A key point shared during the summit was how the Kingdoms organizations are increasingly investing in AI. Whats Next?

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IT resiliency: Running two different hypervisors

CIO

Many are reframing how to manage infrastructure, especially as demand for AI and cloud-native innovation escalates,” Carter said. While Boyd Gaming switched from VMware to Nutanix, others choose to run two hypervisors for resilience against threats and scalability, Carter explained.

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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO

The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. As the next generation of AI training and fine-tuning workloads takes shape, limits to existing infrastructure will risk slowing innovation.

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Reimagine application modernisation with the power of generative AI

CIO

In a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. The norm will shift towards real-time, concurrent, and collaborative development fast-tracking innovation and increasing operational agility.

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Cloud analytics migration: how to exceed expectations

CIO

A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making. Intel’s cloud-optimized hardware accelerates AI workloads, while SAS provides scalable, AI-driven solutions.

Analytics 146