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How today’s enterprise architect juggles strategy, tech and innovation

CIO

Innovator/experimenter: enterprise architects look for new innovative opportunities to bring into the business and know how to frame and execute experiments to maximize the learnings. Data protection and privacy: Ensuring compliance with data regulations like GDPR and CCPA.

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The key to operational AI: Modern data architecture

CIO

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes.

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

CIO

In 2025, data management is no longer a backend operation. It has become a strategic cornerstone for shaping innovation, efficiency and compliance. This article dives into five key data management trends that are set to define 2025. This reduces manual errors and accelerates insights.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations.

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AI data readiness: C-suite fantasy, big IT problem

CIO

Business leaders may be confident that their organizations data is ready for AI, but IT workers tell a much different story, with most spending hours each day massaging the data into shape. Theres a perspective that well just throw a bunch of data at the AI, and itll solve all of our problems, he says.

Data 201
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Leveraging AMPs for machine learning

CIO

The data and AI industries are constantly evolving, and it’s been several years full of innovation. Yet, today’s data scientists and AI engineers are expected to move quickly and create value. Explainability is also still a serious issue in AI, and companies are overwhelmed by the volume and variety of data they must manage.