Close Menu

    Subscribe to Updates

    Get the latest creative news from FooBar about art, design and business.

    What's Hot

    As Lake Powell shrinks, marinas are having to adapt to dwindling water levels

    China’s advanced manufacturing sector set to benefit from AI up-cycle: Bank of Singapore

    What happens when you try to chop a photon in half?

    Facebook X (Twitter) Instagram
    Facebook X (Twitter) Instagram Pinterest VKontakte
    Sg Latest NewsSg Latest News
    • Home
    • Politics
    • Business
    • Technology
    • Entertainment
    • Health
    • Sports
    Sg Latest NewsSg Latest News
    Home»Business»AI adoption challenges in South-east Asia
    Business

    AI adoption challenges in South-east Asia

    AdminBy AdminNo Comments3 Mins Read
    Facebook Twitter Pinterest LinkedIn Tumblr Email
    Share
    Facebook Twitter LinkedIn Pinterest Email


    Companies should start with two to three segments to improve with the technology, says the consultancy

    [SINGAPORE] Companies operating in South-east Asia are receptive to leveraging artificial intelligence applications in their workflows, as these applications are being viewed as tools that can enable growth.

    Yet, at the same time, many companies in the region are struggling to scale AI adoption within their workflows.

    “What’s common in South-east Asia is that the focus is on growth. How to take advantage of technology to accelerate growth,” said Shintaro Okuno, Asia-Pacific regional managing partner at Bain & Company.

    But Okuno also noted that despite the excitement, what Bain has seen with many firms that they work with are that these companies are muddling through their AI roll-outs. 

    According to Bain, fewer than 20 per cent of the companies it works with in South-east Asia are meaningfully scaling their AI investments, and two-thirds of the firms are stuck in the pilot and planning stage.

    Firms in the financial services sector tend to be ahead of other sectors when it comes to including the use of AI applications in workflows.

    But companies in other sectors sometimes struggle with AI adoption, with reasons ranging from wariness over unsystematic roll-outs to the fear of employee unwillingness to adopt.

    His advice, which is what Bain has been advising clients as well, is to pick two or three “commercial plays” or segments that can benefit from using AI applications and fits the business need, and then “go deep” in those segments.

    That means being able to move from proof of concept to successfully scaling adoption. 

    Okuno said: “Make a success case. Make two or three of these branches be successful. That’s usually the best way to provide confidence to the management level and also organisational level…

    “This provides an opportunity for almost everybody to really understand this is a beneficial technology, gain more trust, gain more excitement, so when you move to the next use case it’s going to be much faster, much easier.”

    Bain Asia-Pacific regional managing partner Shintaro Okuno says companies should pick two to three “commercial plays” that can benefit from AI tools and scale adoption there first. PHOTO: BAIN & COMPANY

    Okuno’s view is not isolated.

    While the South-east Asia region is viewed as being generally receptive to adopting AI, there have been reports and views that organisations may be struggling to scale from pilot to production. 

    Successfully scaling from pilot to production could have tangible benefits for organisations.

    The sector that will see the biggest time savings is the financial services sector, followed by consumer and healthcare. 

    Bain also estimates that successful roll-outs of AI tools will result in significant sales uplift for companies in the region as well.

    Where Bain currently sees the most usefulness for AI tools is in workflows dealing with market intelligence, inventory and assortment, pricing and quoting, and guided selling. 

    Okuno said: “So far, most of the use cases are about making the customer-facing people more efficient and more productive. Basically, selling more stuff.”

    Share. Facebook Twitter Pinterest LinkedIn Tumblr Email
    Admin
    • Website

    Related Posts

    China’s advanced manufacturing sector set to benefit from AI up-cycle: Bank of Singapore

    Why a newcomer may not emerge to dislodge a 15-year-old development atop Singapore’s luxury condo segment

    Investigators search Deutsche Bank headquarters over legacy tax trades

    India’s central bank sold US$6 billion in May to defend oil-hit rupee

    Add A Comment
    Leave A Reply Cancel Reply

    Editors Picks

    Most Impressive Team Streaks Of The 21st Century: Where Does 2024-26 Spain Rank?

    NBC’s ‘Stumble’ is a mockumentary about a cheer team with plenty of tumbling runs and heart

    Xiaomi shares post worst week in 3½ years as accidents stoke EV safety concerns

    Judge reverses Trump administration’s cuts of billions of dollars to Harvard University

    Top Reviews
    9.1

    Review: Mi 10 Mobile with Qualcomm Snapdragon 870 Mobile Platform

    By Admin
    8.9

    Comparison of Mobile Phone Providers: 4G Connectivity & Speed

    By Admin
    8.9

    Which LED Lights for Nail Salon Safe? Comparison of Major Brands

    By Admin
    Sg Latest News
    Facebook X (Twitter) Instagram Pinterest Vimeo YouTube
    • Get In Touch
    © 2026 SglatestNews. All rights reserved.

    Type above and press Enter to search. Press Esc to cancel.