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Revolutionizing data management: Trends driving security, scalability, and governance in 2025

CIO

The evolution of cloud-first strategies, real-time integration and AI-driven automation has set a new benchmark for data systems and heightened concerns over data privacy, regulatory compliance and ethical AI governance demand advanced solutions that are both robust and adaptive. This reduces manual errors and accelerates insights.

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The AI Future According to Google Cloud Next ’25: My Interesting Finds

Xebia

Google Cloud Next 2025 was a showcase of groundbreaking AI advancements. Native Multi-Agent Architecture: Build scalable applications by composing specialized agents in a hierarchy. BigFrames provides a Pythonic DataFrame and machine learning (ML) API powered by the BigQuery engine. offers a scikit-learn-like API for ML.

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“Collaborations between public and private organizations will be vital for the UAE to deliver on digital agenda”

CIO

At Gitex Global 2024, Core42, a leading provider of sovereign cloud and AI infrastructure under the G42 umbrella, signed a landmark agreement with semiconductor giant AMD. The partnership is set to trial cutting-edge AI and machine learning solutions while exploring confidential compute technology for cloud deployments.

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What is data architecture? A framework to manage data

CIO

Cloud storage. Not all data architectures leverage cloud storage, but many modern data architectures use public, private, or hybrid clouds to provide agility. Cloud computing. In addition to using cloud for storage, many modern data architectures make use of cloud computing to analyze and manage data.

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The key to operational AI: Modern data architecture

CIO

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

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

CIO

AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. Data sovereignty and the development of local cloud infrastructure will remain top priorities in the region, driven by national strategies aimed at ensuring data security and compliance.

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9 IT skills where expertise pays the most

CIO

AI skills broadly include programming languages, database modeling, data analysis and visualization, machine learning (ML), statistics, natural language processing (NLP), generative AI, and AI ethics. While many have performed this move, they still need professionals to stay on top of cloud services and manage large datasets.