BANGKOK, Thailand 23rd of April 26, 2025  DataNugg, a trailblazer in Al-driven financial technology, took center stage at the "Fintech China" forum during Moncy20/20 Asia, the region's premier fintech summit. Sharing insights alongside Huawei Cloud Tencent Cloud, and global tech leaders, the company unveiled groundbreaking strategies to accelerate Thailand’s fintech evolution.  

Addressing Thailand's emergence as ASEAN's most vibrant fintech hub, DataNugg outlined four transformative trends:

1. DeepScck & Model Context Protocol (MCP):

Redefining AI Flexibility DataNugg introduced its MCP, a revolutionary framework designed to enhance DS through dynamic module orchestration. Unlike traditional function-call,MCP enables Al systems to autonomously invoke specialized modules (e.g, data analytics, compliance checks) based on real-time context,significantly improving adaptability and scalability. Integrated with Huawei Cloud's infrastructure, MCP empowers banks to deploy context-aware AI solutions with seamless interoperability reducing development cycles by up to 40% while maintaining enterprise-grade security. Especially when using the Huawei Cloud as a foundation, DeepSeek can be easily one-stop-shopped and localised.

2. Digital Banking's Al-First Imperative

Drawing insights from China's fintech revolution, DataNugg emphasized Al as the core driver of digital banking transformation: Automated OCR-based invoice and transaction record processing-slashing manual data entry errors by 90%—and Al chatbots capable of resolving 85% of customer inquiries in under few seconds. These innovations enable Thai hanks to streamline SME loan approvals and deliver personalized mobile banking services, capturing underserved markets like micro-entrepreneurs.

3. Bridging the Talent Gap: Low-Code AI & Automation

With Thailand facing a critical shortage of AI and ICT expertise, DataNugg emphasized Al middle platform as game-changes. Its took enable non-technical teams to design, train, and deploy Al models for tasks like credit scoring—cutting development time from months to weeks while ensuring regulatory compliance.

4. Federated Learning: Privacy-Centric Credit Innovation  

DataNugg showcased federated learning frameworks that allow Thai banks to collaborate on cross-institutional credit modeling without sharing raw data. By applying China’s experience in SME credit optimization, the technology reportedly improves loan approval accuracy by 35% while meeting Thailand’s evolving data sovereignty requirements.  

“Thailand’s fintech sector is leapfrogging legacy systems,” stated DataNugg CEO Roger Lee. “Through MCP’s context-aware intelligence, low-code democratization of AI, and privacy-preserving collaboration, we’re enabling Thai institutions to build future-proof systems—not just catch up with global peers.”