AI Readiness Index Aims to Accelerate AI Adoption in Singapore

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

#AISingapore #AISG