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Global Banks Tap Ant International’s AI to Slash Currency Hedging Costs

Six of the world’s largest financial institutions, including Citi, HSBC, and Deutsche Bank, have integrated Ant International’s new Falcon Time-Series Transformer Model 2.0. The Singapore-based fintech firm aims to solve complex liquidity challenges by deploying a specialized artificial intelligence engine designed specifically for high-stakes financial forecasting.

Global Banks Tap Ant International’s AI to Slash Currency Hedging Costs

The adoption of the 2.0 version signals a shift toward domain-specific AI as banks move away from general-purpose models that often struggle with the nuances of volatile market data. According to Kelvin Li, general manager of platform technology at Ant International, the tool offers a distinct competitive advantage in precision. By streamlining liquidity management, the model claims to reduce foreign exchange hedging and allocation costs by more than 60%.

This rollout arrives as global lenders scramble to embed machine learning into their core operational infrastructure. Ant International, an overseas affiliate of Jack Ma’s Ant Group, recently secured $1.2 billion in equity funding to fuel its expansion. Alongside Citi, HSBC, and Deutsche Bank, the partnership roster includes Standard Chartered and Barclays, marking a significant footprint for the fintech provider within the traditional banking sector.

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