{"id":15848,"date":"2021-06-28T00:30:00","date_gmt":"2021-06-28T00:30:00","guid":{"rendered":"https:\/\/eodishasamachar.com\/en\/2021\/06\/28\/ai-readiness-index-aims-to-accelerate-ai-adoption-in-singapore\/"},"modified":"2021-06-28T00:30:00","modified_gmt":"2021-06-28T00:30:00","slug":"ai-readiness-index-aims-to-accelerate-ai-adoption-in-singapore","status":"publish","type":"post","link":"https:\/\/eodishasamachar.com\/en\/2021\/06\/28\/ai-readiness-index-aims-to-accelerate-ai-adoption-in-singapore\/","title":{"rendered":"AI Readiness Index Aims to Accelerate AI Adoption in Singapore"},"content":{"rendered":"

\n<\/p>\n

<\/p>\n

SINGAPORE –\u00a0Media
\nOutReach<\/a>\u00a0– 28 June 2021 –\u00a0AI
\nSingapore (AISG) has launched its AI Readiness Index (AIRI), a comprehensive
\nand easy-to-implement business-focused framework that helps organisations to
\nself-assess the status of their artificial intelligence (AI) adoption
\nreadiness. <\/p>\n


\n <\/p>\n

\u00a0<\/p>\n


\n <\/p>\n

AIRI, Singapore’s
\nfirst-of-its-kind, will help these businesses to measure their latest AI
\nadoption and enable them to seek strategies and solutions in their AI pursuits. \n<\/p>\n


\n <\/p>\n

\u00a0<\/p>\n


\n <\/p>\n

The move is part of
\nSingapore’s National AI Strategy, a
\nwhole-of-nation effort comprising\u00a0
\nSingaporeans, businesses, researchers and movement to work closely
\ntogether to foster a Smart Nation.\u00a0<\/p>\n


\n <\/p>\n

\u00a0<\/p>\n


\n <\/p>\n

Once businesses undertake
\nthis self-test at https:\/\/aisingapore.org\/airi\/<\/a>,
\nthey will be able to identify the gap between their current and desired states. \n<\/p>\n


\n <\/p>\n

\u00a0<\/p>\n


\n <\/p>\n

A system-generated report
\nwill categorise their organisations into one of the following four categories:
\nAI Unaware, AI Aware, AI Ready, and AI Competent. <\/p>\n


\n <\/p>\n

Subsequently, they can
\nleverage appropriate programmes to embark on a journey to improve their AI
\nreadiness.<\/p>\n


\n <\/p>\n

\u00a0<\/p>\n


\n <\/p>\n

AISG
\nenvisages that for organisations that are AI Unaware, the focus will be on
\nincreasing their AI literacy. For entities that are AI Aware, the goal would be
\nto prepare them to adopt AI solutions. For organisations that are AI Ready, the
\naim is to help them to accelerate their AI adoption. Finally, AI Competent
\norganisations will be encouraged to deepen their organisational AI
\ncapabilities.<\/p>\n


\n <\/p>\n

\u00a0<\/p>\n


\n <\/p>\n

These
\napproaches will enable an organisation to ascertain the next steps, principally
\nhow it can move forward with a targeted approach to improve its organisational
\nAI readiness. Businesses can also choose to continue the discussion with AISG
\non mapping their next steps forward towards AI adoption.<\/p>\n


\n <\/p>\n

\u00a0<\/p>\n


\n <\/p>\n

“AI is going to be
\npervasive in all aspects of life in the near future. AISG has worked hard to
\ndevelop this index by translating the learning points and outcomes from our
\nengagements with hundreds of companies,” says AISG Executive Chairman Professor
\nHo Teck Hua.<\/p>\n


\n <\/p>\n

\u00a0<\/p>\n


\n <\/p>\n

“The index is a critical
\nand practical tool that will enable Singaporean businesses to benchmark their
\nAI preparedness. It will also give companies a baseline they can use to further
\ntheir adoption and use of AI,” he adds. <\/p>\n


\n <\/p>\n

\u00a0<\/p>\n


\n <\/p>\n

Dr Chng Zhenzhi, Director,
\nNational AI Office, Smart Nation and Digital Government Office, said: “AIRI is
\na useful tool for organisations to assess where they stand in their AI journey.
\nAISG has been supporting Singapore’s National AI Strategy by growing a pipeline
\nof local AI talent … AIRI will enable AISG to better tailor its suite of
\nprogrammes to each organisation’s needs, and be more effective in helping
\norganisations use and benefit from AI.”<\/p>\n


\n <\/p>\n

\u00a0<\/p>\n


\n <\/p>\n

As part of AISG’s effort to
\nseed greater awareness of AIRI,<\/b> it
\nwill collaborate with various industry partners and trade associations to get
\ntheir customers and members to undergo the AIRI assessment. Some of the leading
\npartners on board include Dell Technologies Singapore, Microsoft Singapore,
\nSingapore Polytechnic and SGTech.<\/p>\n


\n <\/p>\n

\u00a0<\/p>\n


\n <\/p>\n

AI Readiness
\nIndex Framework<\/u><\/b><\/p>\n


\n <\/p>\n

The AI Readiness
\nIndex consists of four main pillars which map to nine dimensions of assessment.<\/p>\n


\n
\n
\n <\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Pillars (4)<\/b><\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Dimensions (9)<\/b><\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Assessments<\/b><\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

AI Literacy<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Whether\u00a0 the\u00a0
\n employees\u00a0 could\u00a0 identify<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

potential\u00a0 AI\u00a0 use\u00a0 cases\u00a0
\n and\u00a0 be\u00a0 savvy<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

consumers of
\n AI solutions<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Organisational<\/b><\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Whether\u00a0\u00a0 the\u00a0\u00a0
\n organisation\u00a0\u00a0 has\u00a0\u00a0 the<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

AI
\n Talent<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

capabilities\u00a0 to\u00a0
\n develop,\u00a0 integrate,\u00a0 and<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Readiness<\/b><\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

maintain AI
\n models<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Whether
\n the organisation has policies to<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

AI Governance<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

guide the
\n development and application of<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

trustworthy AI
\n solutions<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Management
\n Support<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Whether<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

the
\n organisation has<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

allocated<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

resources for
\n AI initiatives<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Business Value<\/b><\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Business
\n Use Case<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Whether
\n the organisation has identified<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Readiness<\/b><\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

suitable AI
\n use cases and assessed their<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

value
\n propositions<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Whether
\n the organisation has processes to<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Data Readiness<\/b><\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Data Quality<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

ensure<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

the<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

quality<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

(accuracy,<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

completeness)
\n of data collected<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Whether
\n there is a single source of truth,<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Reference Data<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

consistency of
\n data format, and reliable<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

metadata<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Whether
\n the organisation has appropriate<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Infrastructure<\/b><\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Machine
\n Learning<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

and
\n sufficient ML infrastructure (e.g., GPU,<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Infrastructure<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

memory)
\n to support AI model training and<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Readiness<\/b><\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

deployment<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Whether\u00a0\u00a0 the\u00a0\u00a0
\n organisation\u00a0\u00a0 is\u00a0\u00a0 using<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

Data
\n Infrastructure<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

appropriate
\n data infrastructure (e.g., data<\/p>\n

\n <\/td>\n


\n <\/tr>\n

<\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

\u00a0<\/p>\n

\n <\/td>\n

<\/p>\n

 <\/p>\n

lake) as a
\n central repository of data<\/p>\n

\n <\/td>\n


\n <\/tr>\n<\/tbody>\n<\/table>\n

#AISingapore #AISG<\/p>\n<\/p><\/div>\n\n
Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

SINGAPORE –\u00a0Media OutReach\u00a0– 28 June 2021 –\u00a0AI 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. \u00a0 AIRI, Singapore’s first-of-its-kind, will help these businesses to measure their latest AI adoption and …<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[60],"tags":[],"_links":{"self":[{"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/posts\/15848"}],"collection":[{"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/comments?post=15848"}],"version-history":[{"count":0,"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/posts\/15848\/revisions"}],"wp:attachment":[{"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/media?parent=15848"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/categories?post=15848"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/tags?post=15848"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}