The past decade has seen a remarkable evolution in China’s fintech industry, drive by advancements in artificial intelligence (AI) and machine learning (ML). Both techfin companies like Ant Financial and Tencent’s WeChat Pay, and traditional financial institutions have integrated these technologies to improve operations, with initiatives such as AI-based fraud detection, smart payment features, and AI-powered robo-advisory platforms. However, along with these advancements came significant challenges related to data privacy and the need for regulatory oversight. The use of AI in credit scoring systems, underwriting algorithms, facial recognition and customer communications led to the imposition of regulatory changes. The imposition of these regulations led to significant adjustments within techfin companies and traditional financial institutions. Overall, the evolution of AI and ML in Chinese fintech and the current adoption of banks, coupled with the introduction of comprehensive regulatory frameworks, is reshaping the industry while aiming for a more secure and responsible future use of these technologies.

This report offers context for the ongoing developments, outlining the potential and prospects of AI/ML technologies in China. It details how Chinese financial institutions are leveraging artificial intelligence, machine learning, and big data as crucial tools to prepare themselves amidst the almost complete digitisation of finance. This report sets the groundwork for understanding these shifts and the potential strategies for navigating the landscape, providing valuable insights for stakeholders and decision-makers in the finance sector. 

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The file is directly delivered into your account provided soon after online payment is received. The file contains a pdf document (50 pages)

The report includes:

1.The evolution of AI and ML in Chinese fintech: A decade of innovation and regulation

2.Digital consumer finance in China

3.The road towards AI and data-driven commercial banks

4.New use cases: expanding AI apppcations beyond automation and cost optimisation

5.Focus areas and emerging AI/ML use cases by Chinese banks

6.Case study: How AIBank uses AI/ML in growing their businesses

7.Building an integrated data, AI and communication infrastructure

8.Key challenges in AI/ML adoption in China

9.Conclusion: Harnessing AI and Big Data in Chinese financial services sector