Bangkok Post
Chamber introduces regional AI institute
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Thailand has the potential to become a regional artificial intelligence (AI) and data centre hub by 2035, while positioning itself as a manufacturing base for humanoid robots, a leader in green digital infrastructure, and a primary source of AI talent, say pundits and academics.
Key facts
- Thailand has the potential to become a regional artificial intelligence (AI) and data centre hub by 2035, while positioning itself as a manufacturing base for humanoid robots, a leader in green digital infrastructure, and a primary source
- He said Thailand should aim to become the AI solution hub for Southeast Asia by focusing on becoming an expert in applying AI to real-world business solutions as 85% of the global AI market is focused on downstream applications rather than
- Djitt Laowattana, executive board member of the Thai Chamber of Commerce and board chairman of the Robotics and AI Committee, said on Monday at the launch of the UTCC AI Institute, a hub for business AI development driven by the University
- He said it was crucial to develop smart grids, energy storage, direct power purchase agreements and solar farms to guarantee that at least 30% of the energy powering this digital infrastructure comes from renewable sources.
- approach, integrating AI into 100% of its courses
- Recognising that 1% of students studying AI and information and communication technology is insufficient, UTCC aims to push that number to 10%, transforming Thai business expertise into AI assets that directly support Thai enterprises, Mr
Summary
"We are entering an AI economy," Djitt Laowattana, executive board member of the Thai Chamber of Commerce and board chairman of the Robotics and AI Committee, said on Monday at the launch of the UTCC AI Institute, a hub for business AI development driven by the University of the Thai Chamber of Commerce's (UTCC) Faculty of Engineering.
He said Thailand should aim to become the AI solution hub for Southeast Asia by focusing on becoming an expert in applying AI to real-world business solutions as 85% of the global AI market is focused on downstream applications rather than upstream development.