A Step-by-Step Guide to Deploying Generative AI on Cloud Platforms in the Middle East

 

Generative AI
Generative AI

Deploying generative AI for cloud solutions can seem complex, but following a structured roadmap makes the process manageable for UAE and Saudi enterprises.

Step 1: Assessment – Identify business use cases where generative AI adds value, such as automated content generation, chatbots, or predictive analytics.

Step 2: Data Preparation – Ensure clean, structured, and compliant datasets. In Saudi and UAE, enterprises must pay attention to local data residency requirements.

Step 3: Choose Cloud Provider – Platforms like AWS, Azure, and GCP offer specialized AI tools. Selecting the right one depends on scalability, security, and integration needs.

Step 4: Model Deployment – Use pre-trained models or fine-tune them on cloud-native AI services. Deploy applications using serverless computing, containers, or APIs for flexibility.

Step 5: Monitor and Optimize – Continuously monitor performance, costs, and compliance. AI models should evolve with changing data and business requirements.

By following this approach, enterprises in the GCC can deploy generative AI securely, cost-effectively, and in alignment with regional transformation goals.

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