AIS ACADEMY for THAIS 2026: 5 AI Business Lessons
AIS Academy event reveals 93% of firms struggle to scale AI, highlighting data readiness, context, and proper workflows as key hurdles.
Stock photo for illustration only, not from the actual event
- 93% of organizations deploying AI still struggle to scale it further according to AWS
- Google views AI as a foundational technological shift comparable to fire or electricity
- Dr. Leslie Teo notes AI capabilities are multiplying nearly three times faster than Moore's Law
- Key remaining gaps are context, evaluation, and system harnesses
The AIS ACADEMY for THAIS 2026: MASTERING AI BEYOND BORDERS event, organized by AIS Academy, kicked off with critical insights into practical enterprise technology adoption. Watson Thirapatpong, Country Manager of Amazon Web Services (AWS) Thailand, highlighted a striking statistic during his AI for Business session, noting that 93% of organizations deploying artificial intelligence have yet to scale its use to drive tangible business value.
Watson elaborated that this figure does not imply project failure, but rather indicates that applications remain restricted to basic tasks such as meeting summaries or document drafting. This aligns with perspectives shared by executives from Google Cloud, Sea (Thailand), AI Singapore, and AWS, who agreed that technological capability is no longer the primary bottleneck. Instead, challenges lie in problem formulation, data readiness, workforce skills, and supportive internal workflows.
Foundational perspectives on the technology were introduced in the 'Unlocking Human Potential with AI' session by Suruj Tippasena, Country Manager of Google Cloud Thailand, who referenced Sundar Pichai's view that artificial intelligence is not merely a tool but a foundational technological shift comparable to the discovery of fire or electricity.
Stock photo for illustration only, not from the actual event
"AI capability is no longer the limit. The real limits are the problems we set, data readiness, personnel, and supportive workflows."
AIS ACADEMY for THAIS 2026 Stage
Suruj explained that viewing AI strictly as a tool limits its application scope, whereas recognizing it as a technological transition shifts the question toward discovering new possibilities, akin to how humanity harnessed electricity. He also cited Google DeepMind projects including AlphaGenome for human genomics, AlphaFold for cutting protein structure analysis from years to a weekend, and WeatherNext 3 for hyper-local weather forecasting.
The consensus among tech executives that the bottleneck lies outside raw model capability underscores the need for modern enterprises to prioritize workflow transformation and data preparation alongside technology acquisition to ensure a strong return on investment.
Dr. Leslie Teo from AI Singapore addressed the Age of Useful AI session by comparing tool availability to Doraemon's magic pocket, emphasizing that having tools does not automatically solve real-world problems. He highlighted the Frontier Clock versus the Impact Clock, stressing that context, evaluation, and harnesses remain the three real gaps.
Source: Techsauce
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