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Understanding your AIRI result
It is a common misconception that AI adoption is only suitable for larger or technology-based organisations. On the contrary, AI Unaware and AI Aware organisations, even if they lack data, talent, or ML infrastructure, could adopt ready-made AI solutions for their core or peripheral business activities.
Average Score
2.5 to 3.4
General Capabilities
Savvy consumers of AI solutions. Capable of identifying use cases for AI applications
General Characteristics
Identified potential use cases and seek AI solutions from vendors
AI Adoption Suitability
Consume ready-made, end-to-end AI solutions
Identify your AI capabilities
The organisational capability profile serves as a guide for an organisation looking to improve its AI capabilities. An organisation should seek a balanced profile by having all dimensions with the same score based on their desired capability.
The chart on the below shows your responses and their corresponding score, and comparing with other companies in the same industry or business type based on AIRI.
Your Organisational Profile and Other Companies in the Agriculture Industry
Comparing AIRI Results for Organisational Readiness
Comparing AIRI Results for Business Value Readiness
Comparing AIRI Results for Ethics and Governance Readiness
Comparing AIRI Results for Data Readiness
Comparing AIRI Results for Infrastructure Readiness
Your Organisational Profile and Other Startup Companies
Comparing AIRI Results for Organisational Readiness
Comparing AIRI Results for Business Value Readiness
Comparing AIRI Results for Ethics and Governance Readiness
Comparing AIRI Results for Data Readiness
Comparing AIRI Results for Infrastructure Readiness
By identifying the weakest dimensions, the organisational capability profile enables an organisation to focus on dimensions that could significantly improve its overall AI capabilities.
Approach to improve your AI Readiness
AI, similar to other technologies, is a tool that could help organisations increase their competitiveness via higher automation (cost-saving), better product offering (revenue), or deeper analytics capabilities (insights).
Below is a suggested approach for organisations to benefit from AIRI assessment and improve their AI readiness:
Determine
whether current AI capability supports organisational goals
Identify
which level of AI capabilities the organisation needs to be at
Focus
first on the weakest dimension to unlock synergy across all
AIRI Suggestion
The AIRI Suggestion is designed to provide your organisation with a more detailed understanding of how you can enhance your AI readiness, with actionable steps that you can take to achieve your goals. The fundamental premise of the AIRI Suggestion is that each organisation is at a specific stage of AI readiness, with distinct requirements and challenges to overcome.
Click on each profile to find out more
Organisational Readiness
Management Support
Establish a project team comprising of individuals who possess a fundamental understanding of AI (e.g. AI champions) to identify the AI solution requirements and search for a suitable provider.
AI Literacy
Encourage all employees (including non-engineers, sales, marketing, HR) to attend non-technical AI classes such as AI For Everyone (AI4E) webinar, whether online or offline
AI Talent
Enhance the skills of a project team to define the scope of the AI project
Employee Acceptance of AI
Encourage AI champions to organise training sessions for employees on how to effectively use the tested AI solutions
Experimentation Culture
Empower AI champions to work with employees to explore AI-enabled solutions
Business Value Readiness
Business Use Case
Ideate and prioritise the potential AI use cases that have the highest business value potential
Ethics and Governance Readiness
AI Governance
Implement basic AI governance guidelines
AI Risk Control
Implement basic AI risk control guidelines
Data Readiness
Data Quality
Assign employees with formal responsibilities to manage datasets that have potential AI use cases
Reference Data
Consolidate the datasets into a unified database at a sub-organisational level and structure the data in a standardised format
Infrastructure Readiness
Machine Learning (ML) Infrastructure
Allocate a budget for cloud or on-premise servers to support the low-code platform or turn-key solutions and access the deployed AI solution remotely
Data Infrastructure
Implement a suitable database technology (e.g. relational database, object-oriented database, graph database) for supporting the AI project
Organisational Readiness
Management Support
Establish company's AI strategy and allocate budget and resources
AI Talent
Hire and build an AI engineering team consisting of AI engineers, MLOps engineers, product managers, data curators, AI researchers
Ethics and Governance Readiness
AI Governance
Create policies and procedures to ensure that the implemented AI solutions are functioning appropriately, such as ensuring that AI models are trained on unbiased data, and monitoring the performance of AI models
AI Risk Control
Appoint a leader (e.g. Chief Data Officer, Chief AI Officer) to standardise AI risk controls across the organisation and to conduct rigorous testing on their existing AI solutions
Data Readiness
Data Quality
Appoint a leader (e.g. Chief Data Officer, Chief AI Officer) to manage data management processes
Reference Data
Consolidate the datasets into a unified database at an organisational level and establish and upkeep the data definition, catalog and metadata
Infrastructure Readiness
Machine Learning (ML) Infrastructure
Allocate a substantial, dedicated budget for deploying a distributed system. Implement MLOps, leverage APIs, develop AI-enabled software, and integrate AI into most projects. Include AI as a component of the product offering
Data Infrastructure
Implement a wide range of suitable database technologies (e.g. relational database, object-oriented database, graph database for supporting multiple AI projects
How can you get started?
The UOB AI Ready Programme is more than a learning platform – it is a launchpad for digital transformation. UOB FinLab leverages on its strong collaborative ecosystem across the region to equip SMEs across ASEAN with the knowledge, tools and capabilities to harness the power of Artificial Intelligence (AI) meaningfully and responsibly.
AI Ready & Competent organisations can also tap on the programme to build Proof-of-Concepts to accelerate their implementation.
UOB AI Ready Programme
Strategy to improve AI readiness
AI Unaware
Increase AI literacy of organisation
AI Aware
Prepare organisation to adopt AI solution
AI Ready
Help organisation to adopt AI solution
AI Competent
Deepen organisational AI capabilities
Thank you for undergoing the AIRI assessment.
Please get in touch with us if you have questions about AIRI, would like to know more about our programmes, or require further advice on improving your organisation’s Al maturity.
AI Readiness Index (AIRI) is an industry-focused AI readiness assessment framework developed by AI Singapore (AISG). AI Singapore’s AIRI is licensed under CC-BY-NC-ND 4.0 license.
Do check your email for a link to download the full report.