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Seeing AI all around nowadays and unsure how your business could be impacted?
No worries! The AI Readiness Index (AIRI) framework by AI Singapore can help you navigate and even push to benefit from this transformative technology. It is one of the tools that provide a structured way for you to better understand how your organisation fares in this current environment and determine the next steps to successfully leverage AI.
Understanding the AI Readiness Index (AIRI) For Your Business
AI Readiness Index (AIRI) crystallises the magic ingredients for AI adoption by drawing insights from hundreds of engagements across various industries and organisational sizes. This comprehensive framework lets all businesses:
Assess: Understand your current AI capabilities
Identify: Spot gaps between your current state and desired AI maturity
Accelerate: Drive your AI journey with targeted programs and solutions
The Four Levels of AI Readiness
AIRI categorises companies into four levels of AI readiness:
AI Unaware (Less than 2.5): Organisations might have heard about AI but are unaware of its applications.
AI Aware (2.5 to 3.4): Organisations can identify potential AI use cases but lack deeper integration capabilities.
AI Ready (3.5 to 4.5): Organisations can integrate pre-trained AI models into their operations.
AI Competent (Greater than 4.5): Organisations can develop customised AI solutions tailored to specific business needs.
The Five Pillars and Twelve Dimensions of AI Readiness
AIRI holistically evaluates the AI readiness of companies across five interdependent pillars, each mapping to several dimensions:
Organisational Readiness:
Management Support: Resource allocation for AI initiatives.
AI Literacy: Employees’ ability to identify and leverage AI solutions.
AI Talent: Capability to develop and maintain AI models.
Employee Acceptance: Trust and acceptance of AI systems.
Experimentation Culture: Encouragement for AI experimentation.
Ethics and Governance Readiness:
AI Governance: Frameworks to prevent harm.
AI Risk Control: Classification of AI system risks.
Business Value Readiness:
Business Use Case: Identification and evaluation of AI use cases.
Data Readiness:
Data Quality: Ensuring data accuracy and completeness.
Reference Data: Consistency and reliability of data.
Infrastructure Readiness:
ML Infrastructure: Adequate infrastructure for AI model training and deployment.
Data Infrastructure: Centralised data repositories like data lakes.
Practical Steps to Improve AI Readiness For Singapore Businesses
To kick start your journey, you can start by taking the AIRI Assessment. This could help you understand exactly what stage of AI readiness your organisation is at, and determine the available AI solutions to reach your organisation's goals.
It is also important to know that reaching the AI Competent level is not necessary, but rather ensuring alignment between your AI readiness and organisational objectives.
Conclusion
While the noise around AI can seem rather overwhelming, frameworks like the AI Readiness Index (AIRI) can help you navigate this complex landscape with confidence.
But you don't have to embark on this journey alone! Join the GentleAI community to kickstart your personal AI journey. GentleAI is a vibrant platform where non-technical AI enthusiasts come together to learn, share experiences, and grow. Whether you're just curious about AI or looking to dive deeper, you'll find like-minded people ready to support and inspire you.
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