About AI-REAL Toolkit
The DCO AI-REAL Toolkit evaluates a country’s AI capabilities and guides its strategic AI adoption.
The DCO AI-REAL Toolkit is a self-assessment diagnostic tool designed to assess a country’s AI capabilities and guide its journey toward effective AI adoption and integration across public and private sectors. Rather than serving as a ranking or benchmarking tool, it provides a qualitative evaluation, offering insights into AI readiness by identifying strengths, gaps, and areas for strategic improvement.
Its purpose is not only to assess current AI capabilities but also to support adoption by offering tailored recommendations, a prioritized list of initiatives, and references to best practices from global leaders and emerging entities, based on responses from the AI readiness assessment. For more information, please login to visit our educational resources.
The DCO is dedicated to achieving social prosperity and the growth of the digital economy by unifying the efforts of our members to advance digital transformation and promote common interests. To know more about DCO, Please login to visit the official website
AI-REAL Toolkit is augmented by Strategic Documents.
Gain resources to accelerate and enhance AI readiness assessment and adoption in line with leading best practices
AI Assessment Guide
Understand AI assessment indicators, methodology, recommendations
and result
AI Adoption
A comprehensive guide featuring adoption framework, best practices, and model strategies brand policies
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Benchmarking Report
Key lessons, learnings and insights from key leading and emerging AI nations across the world
DownloadHelp Us Improve the AI-REAL Toolkit
We seek your feedback to enhance and refine the AI-REAL Toolkit
Government Strategy, Policies & Regulations
Effective government strategies and regulatory frameworks are essential for guiding ethical and responsible AI adoption. By establishing transparent policies and governance structures, countries can foster a conducive environment for innovation while safeguarding public interest. The DCO AI Toolkit helps member states align their national strategies with global best practices.
Key Dimensions
4 key dimensions that encompass both strategic and operational aspects of AI readiness and adoption are:
Strategy:
Government's long-term AI plan focuses on aligning initiatives with national priorities, goals, and resource allocation
Policies and Regulations:
Develop and enforce policies & laws to ensure ethical use of AI, promoting transparency, fairness, accountability, while supporting R&D and investment
AI Governance & Ethics:
Establish AI governance frameworks to ensure ethical practices, fairness, reduction in bias , and human-centric design
Sustainable & Inclusive AI:
Ensure AI technologies are developed and deployed for inclusivity and sustainability, minimize harm and promote equal access
Technology Advancements & Readiness
Technological advancements form the backbone of AI readiness. Countries need to invest in modern infrastructure, including cloud computing, high-performance servers, and AI-specific tools. The DCO AI Toolkit provides insights on technological requirements and best practices to ensure nations are well-prepared for AI deployment.
Key Dimensions
3 key dimensions that encompass both strategic and operational aspects of AI readiness and adoption are:
Innovation:
Foster AI innovation through research grants, innovation hubs, and public- private sector collaborations
Research & Development:
Invest in R&D to advance AI technologies, including machine learning, robotics, and natural language processing
AI Deployment & Integration:
Develop digital strategies for effective deployment of AI across various sectors, ensuring seamless integration with existing technologies
Data & Infrastructure
Data is the fuel that powers AI innovation. Establishing robust data collection, storage, and processing infrastructure is vital for successful AI initiatives. The DCO AI Toolkit guides member states in creating secure, scalable, and efficient data ecosystems that support AI-driven decision-making.
Key Dimensions
4 key dimensions that encompass both strategic and operational aspects of AI readiness and adoption are:
Data Availability:
Ensure that large, high-quality datasets are available for training and developing AI models
Data Management & Protection:
Implement robust data management practices and protection mechanisms throughout the data lifecycle to ensure effective data management
Data Quality:
Focus on the accuracy, consistency, completeness and reliability of data used in AI applications
Infrastructure:
Leverage safe and secure cloud infrastructure to provide scalable and flexible resources for AI development and deployment
Talent & Skills in AI
Building a skilled AI workforce is crucial for sustainable AI development. Training and upskilling professionals in AI technologies can drive innovation and economic growth. The DCO AI Toolkit helps countries design and implement effective talent development programs to foster AI expertise.
Key Dimensions
2 key dimensions that encompass both strategic and operational aspects of AI readiness and adoption are:
AI Education & Training Programs:
Develop specialized education and training programs in AI to build a skilled workforce
Continuous learning & Skill Development:
Encourage lifelong learning initiatives to ensure that professionals remain updated with the latest AI advancements
Impact of AI on the Economy
AI has the potential to transform economies by driving productivity, innovation, and competitiveness. Understanding and measuring the economic impact of AI can help governments make informed policy decisions. The DCO AI Toolkit provides tools and frameworks to assess AI’s contribution to economic growth and sustainability.
Key Dimensions
4 key dimensions that encompass both strategic and operational aspects of AI readiness and adoption are:
Entrepreneurship:
Promote AI-driven startups and entrepreneurship through funding, mentorship, and incubator programs
Public-Private Partnerships:
Establish collaborations between public & private institutions, research organizations, and companies to accelerate AI adoption
International Collaborations:
Engage in international partnerships to exchange knowledge, technologies, and best practices in AI
Investments in AI:
Encourage investments in AI research, development, funding programs and commercialization to fuel economic growth