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Cloud analytics migration: how to exceed expectations

CIO

A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. 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.

Analytics 146
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5 predictions for emerging ’25 technology trends

CIO

Allow me, then, to make five predictions on how emerging technology, including AI, and data and analytics advancements will help businesses meet their top challenges in 2025 particularly how their technology investments will drive future growth. Prediction #3: Superior guardrails and governance will spur innovation.

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What is data architecture? A framework to manage data

CIO

Its an offshoot of enterprise architecture that comprises the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in organizations. Real-time analytics. Ensure data governance and compliance. Choose the right tools and technologies.

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Are enterprises ready to adopt AI at scale?

CIO

They may implement AI, but the data architecture they currently have is not equipped, or able, to scale with the huge volumes of data that power AI and analytics. As data is moved between environments, fed into ML models, or leveraged in advanced analytics, considerations around things like security and compliance are top of mind for many.

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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.

Trends 158
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AI as a catalyst for ESG: Empowering CIOs to drive sustainable innovation

CIO

In today’s fast-evolving business landscape, environmental, social and governance (ESG) criteria have become fundamental to corporate responsibility and long-term success. These frameworks extend beyond regulatory compliance, shaping investor decisions, consumer loyalty and employee engagement.

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4 prerequisites for IT leaders to navigate today’s era of disruption

CIO

Plus, forming close partnerships with legal teams is essential to understand the new levels of risk and compliance issues that gen AI brings. Focus on data governance and ethics With AI becoming more pervasive, the ethical and responsible use of it is paramount.