Digital Transformation

The American AI Paradox: Racing Ahead, But Is Anyone Following? The narrative is compelling, urgent, and repeated like a mantra: the United States is in a high-stakes, global race for artificial intelligence supremacy. The finish line is technological dominance, and the primary competitor is clear. Federal initiatives pour billions into R&D, Silicon Valley’s engines of innovation roar at full throttle, and business leaders are told to adopt AI or be left behind. The message is one of unbridled momentum: push forward at all costs.

Summit Overview The 9th International Innovation Summit 2025, themed “Reimagining Growth in the Age of Intelligent Systems,” brings together business leaders, innovators, and changemakers to explore how AI, automation, and adaptive technologies are reshaping industries and unlocking new pathways for sustainable and inclusive growth.

1.1 Course Description The Franco-Thai Chamber of Commerce (FTCC), in collaboration with System in Motion and the Swedish-Thai Chamber of Commerce (SweCham), invites you to a dynamic 3-hour workshop on “AI Fundamentals Text (L1&L2)”.

1.1 Course Description The French-Korean Chamber of Commerce and Industry (FKCCI), in partnership with the Korean German Chamber of Commerce and Industry (KGCCI), iExcel Technologies, and System in Motion, invites you to a hands-on AI training designed to help professionals move from basic AI usage to real business applications and automation.

Course Description Command the AI Revolution in Hospitality: Lead, Transform, Outperform Join 3,900+ Leaders from 170+ Companies Who Mastered AI with System in Motion – 89% Average Satisfaction. This 6-hour intensive masterclass is designed exclusively for hospitality leaders ready to unlock operational excellence, elevate guest loyalty, and secure a lasting competitive edge.

In the ever-evolving world of artificial intelligence (AI), a new technology is making waves and promises to revolutionize the way we manage and utilize information. This technology is known as Retrieval-Augmented Generation, or RAG for short.