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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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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. enterprise architects need to balance innovation with the practical realities of contracts and service agreements.

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Reduce ML training costs with Amazon SageMaker HyperPod

AWS Machine Learning - AI

Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or months to complete a single job. For example, pre-training the Llama 3 70B model with 15 trillion training tokens took 6.5 During the training of Llama 3.1

Training 113
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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. Data scientists and AI engineers have so many variables to consider across the machine learning (ML) lifecycle to prevent models from degrading over time.

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What’s holding back CIO’s AI strategies? Their own AI learning curve for one

CIO

But it’s important to understand that AI is an extremely broad field and to expect non-experts to be able to assist in machine learning, computer vision, and ethical considerations simultaneously is just ridiculous.” Tkhir calls on organizations to invest in AI training. Blank says.

Strategy 199
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Efficiently train models with large sequence lengths using Amazon SageMaker model parallel

AWS Machine Learning - AI

Across diverse industries—including healthcare, finance, and marketing—organizations are now engaged in pre-training and fine-tuning these increasingly larger LLMs, which often boast billions of parameters and larger input sequence length. This approach reduces memory pressure and enables efficient training of large models.

Training 111
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Scaling AI talent: An AI apprenticeship model that works

CIO

We have five different pillars focusing on various aspects of this mission, and my focus is on innovation — how we can get industry to accelerate the adoption of AI. Along the way, we’ve created capability development programs like the AI Apprenticeship Programme (AIAP) and LearnAI , our online learning platform for AI.