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Indonesia leads Asia-Pacific in AI implementation, study shows
A recent study shows that Indonesia ranks first in the Asia Pacific in implementingn artificial intelligence (AI), with 65 percent of respondents saying that they had either implemented AI in their business or were expanding or upgrading their AI capacity.
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Machine learning is an artificial intelligence (AI) field that utilizes statistical analyzation methods to give computer systems the ability to recognize patterns. Indonesia ranks first in the Asia-Pacific in implementing AI technologies, but gathering big data remains a major hurdle. (Shutterstock/File)
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recent study shows that Indonesia ranks first in the Asia-Pacific region in implementing artificial intelligence (AI), with 65 percent of respondents saying that they had either implemented AI in their business or were expanding or upgrading their AI capacity.
The study, conducted by Forrester Consulting on behalf technology company Appier, aims to shed light on trends in AI adoption across the Asia-Pacific.
"Artificial intelligence is the key to digital business; it has the potential to transform everything from business operations to customer experience," stated the study summary, a copy of which was made available to The Jakarta Post.
“By leveraging big data-driven AI platforms, enterprises can deliver business value throughout the entire customer life cycle,” it said.
The study surveyed 260 businesses and IT leaders involved in the decision-making process of deploying new technologies such as AI. The survey respondents represented the retail, IT/telecom, financial services and insurance industries across eight Asia-Pacific markets: Australia, China, India, Indonesia, Japan, Singapore, South Korea and Taiwan.
China ranks second in AI implementation at 63 percent, followed by India (62 percent), South Korea (57 percent), Singapore (50 percent), Japan (47 percent) and Taiwan (44 percent).
The study also found that 53 percent of those surveyed reported that their biggest challenge in adopting AI technologies was gathering and integrating big data, indicating that enterprises were still struggling to cope with the growing volume of business data. (bbn)
