COUNTRY FOCUS : SINGAPORE
Aerial drone view of Singapore city skyline at sunset and are now either in the ‘ optimizing / innovating ’ or ‘ formalizing ’ states of implementation . Most organizations are also citing a wider range of use cases , including computer vision applications , automated content moderation , customer relationship management and biomedical applications .
Progress and challenges
With regard to AI / ML adoption , 35 % of Singapore respondents cite difficulties aligning AI / ML strategies to the business . In addition , the cost of implementation
rose to 28 %, while 37 % of respondents see nascent AI / ML technologies as a barrier .
“ The fact that many organizations are having trouble aligning AI / ML strategies to the business and navigating the plethora of new tools available indicates that projects are often falling victim to poor strategy ,” added DeVerter .
“ Garnering support from the right stakeholders , coming to consensus on deliverables , understanding the resources necessary to get there , and setting clear milestones are critical components to keeping projects on track and seeing the desired return on investment .”
Organizational understanding
From a talent perspective , more than half of respondents said they have necessary AI / ML skills within their organization . At the same time , more than half of all respondents say that bolstering internal skills / hired talent and improving both internal and external training are on their agenda .
Comparing departments , 77 % of Singapore respondents say IT staff grasp AI / ML benefits as
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