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This report presents a preliminary analysis of an AI readiness study aimed at developing a framework to assess the readiness for AI integration. The framework is designed to indicate the capacity to leverage the benefits of AI across various domains. By employing a bottom-up approach, the study identifies common patterns, metrics, and evaluation mechanisms for effective AI integration.
The analysis emphasizes the importance of understanding different actors and characteristics in various sectors to create a standardized readiness framework. This approach not only facilitates the integration of AI but also helps in closing the digital divide and achieving net-zero goals. The findings are crucial for stakeholders looking to enhance their AI capabilities and infrastructure.
• Framework assesses AI readiness for effective integration across various domains.
• Bottom-up approach identifies common patterns and evaluation mechanisms for AI.
AI readiness refers to the ability of an organization or system to effectively integrate and utilize AI technologies.
Digital infrastructure encompasses the foundational technologies and systems necessary for supporting AI applications and services.
Evaluation mechanisms are tools or methods used to assess the effectiveness and readiness of AI integration in various sectors.
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