Core Insights - Ant International announced the open-source release of its self-developed AI prediction model "Falcon TST" at the Singapore FinTech Festival 2025, marking it as the first large-scale time-series prediction model based on a multi-segment pattern and a mixture of experts architecture, with over 2.5 billion parameters and optimal performance in various benchmark evaluations [1][3] Group 1: Model Features and Applications - The "Falcon TST" model was initially used for internal cash flow and foreign exchange risk predictions, achieving over 90% accuracy and helping businesses reduce foreign exchange costs by up to 60% [3] - Beyond finance, the model can predict weather changes, holiday consumption, financial market fluctuations, and cross-border human flow, showcasing its versatility in handling time-series data [3] - In the aviation industry, the model is being used to optimize foreign exchange hedging strategies, with pilot projects indicating significant reductions in foreign exchange costs [3] Group 2: Industry Impact and Collaboration - The International Airports Council (ACI World) projects that global air passenger volume will reach 9.8 billion by September 2025, highlighting the importance of AI-driven precise predictions for enhancing corporate profits and providing cost benefits to end consumers [3] - Ant International's Chief Innovation Officer stated that the decision to open-source the model aims to empower various industries and promote collaboration between academia and industry to advance AI technology and its application in the real economy [3]