Source: Media Outreach
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
Organisational
Readiness
AI Literacy
Whether the employees could identify
potential AI use cases and be savvy
consumers of AI solutions
AI Talent
Whether the organisation has the
capabilities to develop, integrate, and
maintain AI models
AI Governance
Whether the organisation has policies to
guide the development and application of
trustworthy AI solutions
Management Support
Whether the organisation has allocated
resources for AI initiatives
Business Value
Readiness
Business Use Case
Whether the organisation has identified
suitable AI use cases and assessed their
value propositions
Data Readiness
Data Quality
Whether the organisation has processes to ensure the quality (accuracy,
completeness) of data collected
Reference Data
Whether there is a single source of truth,
consistency of data format, and reliable
metadata
Infrastructure
Readiness
Machine Learning
Infrastructure
Whether the organisation has appropriate
and sufficient ML infrastructure (e.g., GPU, memory) to support AI model training and deployment
Data Infrastructure
Whether the organisation is using
appropriate data infrastructure (e.g., data
lake) as a central repository of data
#AISingapore #AISG
– Published and distributed with permission of Media-Outreach.com.
