AI Readiness Index Aims to Accelerate AI Adoption in Singapore

AI Singapore (AISG) has launched its AI Readiness Index (AIRI), a comprehensive and easy-to-implement business-focused framework that helps organizations to self-assess the status of their artificial intelligence (AI) adoption readiness.

SINGAPORE - Media OutReach - 28 June 2021 - AI Singapore (AISG) has launched its AI Readiness Index (AIRI), a comprehensive and easy-to-implement business-focused framework that helps organisations to self-assess the status of their artificial intelligence (AI) adoption readiness.

AIRI, Singapore's first-of-its-kind, will help these businesses to measure their latest AI adoption and enable them to seek strategies and solutions in their AI pursuits.

The move is part of Singapore's National AI Strategy, a whole-of-nation effort comprising Singaporeans, businesses, researchers and movement to work closely together to foster a Smart Nation.

Once businesses undertake this self-test at https://aisingapore.org/airi/, they will be able to identify the gap between their current and desired states.

A system-generated report will categorise their organisations into one of the following four categories: AI Unaware, AI Aware, AI Ready, and AI Competent. Subsequently, they can leverage appropriate programmes to embark on a journey to improve their AI readiness.

AISG envisages that for organisations that are AI Unaware, the focus will be on increasing their AI literacy. For entities that are AI Aware, the goal would be to prepare them to adopt AI solutions. For organisations that are AI Ready, the aim is to help them to accelerate their AI adoption. Finally, AI Competent organisations will be encouraged to deepen their organisational AI capabilities.

These approaches will enable an organisation to ascertain the next steps, principally how it can move forward with a targeted approach to improve its organisational AI readiness. Businesses can also choose to continue the discussion with AISG on mapping their next steps forward towards AI adoption.

"AI is going to be pervasive in all aspects of life in the near future. AISG has worked hard to develop this index by translating the learning points and outcomes from our engagements with hundreds of companies," says AISG Executive Chairman Professor Ho Teck Hua.

"The index is a critical and practical tool that will enable Singaporean businesses to benchmark their AI preparedness. It will also give companies a baseline they can use to further their adoption and use of AI," he adds.

Dr Chng Zhenzhi, Director, National AI Office, Smart Nation and Digital Government Office, said: "AIRI is a useful tool for organisations to assess where they stand in their AI journey. AISG has been supporting Singapore's National AI Strategy by growing a pipeline of local AI talent ... AIRI will enable AISG to better tailor its suite of programmes to each organisation's needs, and be more effective in helping organisations use and benefit from AI."

As part of AISG's effort to seed greater awareness of AIRI, it will collaborate with various industry partners and trade associations to get their customers and members to undergo the AIRI assessment. Some of the leading partners on board include Dell Technologies Singapore, Microsoft Singapore, Singapore Polytechnic and SGTech.

AI Readiness Index Framework

The AI Readiness Index consists of four main pillars which map to nine dimensions of assessment.

Pillars (4)

Dimensions (9)

Assessments

AI Literacy

Whether the employees could identify

potential AI use cases and be savvy

consumers of AI solutions

Organisational

Whether the organisation has the

AI Talent

capabilities to develop, integrate, and

Readiness

maintain AI models

Whether the organisation has policies to

AI Governance

guide the development and application of

trustworthy AI solutions

Management Support

Whether

the organisation has

allocated

resources for AI initiatives

Business Value

Business Use Case

Whether the organisation has identified

Readiness

suitable AI use cases and assessed their

value propositions

Whether the organisation has processes to

Data Readiness

Data Quality

ensure

the

quality

(accuracy,

completeness) of data collected

Whether there is a single source of truth,

Reference Data

consistency of data format, and reliable

metadata

Whether the organisation has appropriate

Infrastructure

Machine Learning

and sufficient ML infrastructure (e.g., GPU,

Infrastructure

memory) to support AI model training and

Readiness

deployment

Whether the organisation is using

Data Infrastructure

appropriate data infrastructure (e.g., data

lake) as a central repository of data


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