Source – opengovasia.com
A recent report stated that a survey conducted by an Information and Technology market research and advisory firm highlights that AI adoption in the ASEAN region is on the rise.
Current AI adoption rates stand at 14% across Southeast Asia as compared to just 8% last year, marking a clear move by companies to embed some form of AI/cognitive intelligence into their operations.
Discovery of better business insights has become the most important adoption driver according to more than half (52%) of respondents, moving from third most important in 2017, revealing a maturity in the way the region is harnessing AI to enhance their business. Other top drivers this year are enhanced process automation (51%) and improved productivity (42%).
Malaysia came in fourth with 8.1% of all its organisations being open to the adoption and integration of Artificial Intelligence into their operation. It followed behind Indonesia (24.6%), which was the country that led the pack in terms of adoption. Next were Thailand (17.1%), Singapore (9.9%).
The top use cases in Southeast Asia include algorithmic market forecasting (17%), and automated asset and infrastructure management (11%).
Experts argue that there are clear opportunities for more organisations in Southeast Asia to leverage AI to create differentiating value. This is particularly because of its pre-existing positive impact already visible across banking, manufacturing, healthcare, and government.
It is expected that investments in AI will continue to rise, as more organisations begin to understand the benefits of embedding AI into their business and how data and analytics can help uncover new insights.
Organisations that do not incorporate AI into their business operations will lose out to their AI-enabled peers who will benefit from the greater predictability, efficiency, and innovation that advanced analytics can bring.
Despite the rise in adoption, organisations in the region are trailing behind those in North Asian countries, in terms of making AI a strategic agenda.
For example, more than 80% of companies in China and South Korea believe AI capabilities will be critical for organisations’ success and competitiveness in the coming years, compared to less than 40% of companies in Singapore and Malaysia.
Lack of skills & knowledge (23%) and the high cost of solutioning (23%) are among the most frequent barriers to adoption named by survey respondents.
While the overall adoption in Southeast Asia falls behind Asia/Pacific (excluding Japan), there are signs to suggest organisations in the region will catch up quickly.
For example, 34% of organisations in Malaysia have plans to adopt AI within two years, the 2nd highest among Asia/Pacific countries.
In solidifying their strategy to turn AI into a differentiator for the business, companies find data from sales, commerce, and marketing to be the readiest, followed by that from customer service & support operations, and IT, security & risk operations.
For those already embarking on their data-to-insights journey, there are varied challenges across sectors. Organisations in the financial services space face more challenges in data federation and model building, while public sector organisations are hindered by data readiness issues.
With a 32 percentage points jump in planned adoption of AI in two years since 2017, Malaysia’s increasing AI focus can be attributed to greater smart cities initiatives and applications in public safety and intelligent transportation. A lot of these initiatives would need more time to unfold and solidify.
However, many Malaysian organisations have concerns about the cost of solutioning and the quality of the model.
Compared to North Asian economies, Malaysian organisations showed less enthusiasm in having in-house AI capabilities which can hinder their ability to understand AI solutions to strengthen their business.
Nevertheless, more than 32% of companies in Malaysia prioritised speech and image recognition interfaces to improve customer experience and enhance omni-channel know-your-customer.
Organisations in Malaysia are recognising how AI and analytics can help solve complex problems and reveal unique insights, at the scale and speed required for our growing markets.
It is important to note that Malaysian organisations must understand how AI could enhance their current staff and technology to drive improved business outcomes.
In the digital economy, AI and analytics are the drivers of organisational success and companies will need a clear path from data to innovation.