Core Viewpoint - The article discusses the launch of Shanghai Pudong Development Bank's (SPDB) "Artificial Intelligence+" initiative, highlighting its commitment to integrating AI technology into financial services to enhance operational efficiency and customer experience [5][9]. Group 1: AI Integration in Banking - Artificial intelligence is recognized as a strategic technology driving a new wave of technological revolution and industrial transformation, reshaping the financial industry's underlying logic [3]. - SPDB's "Artificial Intelligence+" initiative aims to build core competitiveness in financial technology, promoting deep integration of AI with financial services, driven by technological innovation and application needs [5][6]. - The bank has established a large-scale enterprise knowledge asset library and developed over 200 digital employee application scenarios to enhance its smart capabilities in customer insights, industry research, and financial analysis [6]. Group 2: Reports and Findings - SPDB released two significant reports: the "Artificial Intelligence+ Application Planning White Paper 1.0" and the "Commercial Bank Data Management Practice Report," which provide insights into the bank's AI applications and data management strategies [5][7]. - The white paper outlines SPDB's large model application system and explores technical practices in foundational engineering, knowledge assets, application creation, and security management [5][6]. - The data management report emphasizes the importance of data elements in driving financial services and provides a framework for commercial banks to enhance their data management systems [7]. Group 3: AI Application Achievements - SPDB has made significant strides in AI applications across various sectors, including inclusive finance, investment banking, corporate banking, treasury management, and custody services [9][10]. - The bank's AI-enabled services aim to transform customer experiences from passive responses to proactive insights, enhancing the overall digital financial service experience [9]. - Specific AI applications include intelligent marketing for inclusive finance, smart credit assessment for corporate lending, and AI-driven wealth management solutions [10]. Group 4: Future Directions - SPDB plans to focus on five key areas: technology finance, supply chain finance, inclusive finance, cross-border finance, and treasury finance, as part of its digital transformation strategy [9]. - The bank aims to continue innovating and exploring AI applications in finance, contributing to the intelligent development of the financial industry [10].

Core Viewpoint - Shanghai Pudong Development Bank (SPDB) is committed to integrating artificial intelligence (AI) into its financial services, aiming to enhance its technological competitiveness and create value for customers through innovative applications of AI technology [1][2][3] Group 1: AI Applications and Services - SPDB has introduced six major AI application achievements to enhance digital financial services, focusing on a comprehensive customer journey from passive response to proactive anticipation [1] - The "AI Empowering Inclusive Finance" initiative aims to provide precise financial services to small and micro enterprises, addressing the last mile of financial accessibility [1][2] - The "AI Empowering Intelligent Investment Banking" initiative utilizes AI, BI, and KI technologies to optimize major business processes, facilitating precise capital matching for medium and large enterprises [2] Group 2: Strategic Planning and Reports - SPDB has set 2025 as the year for enhancing its "digital intelligence" strategy, emphasizing the importance of AI in its future operations [1] - The bank released the "Artificial Intelligence + Application Planning White Paper 1.0," detailing its large model application system and technical explorations in foundational engineering, knowledge assets, and security management [3] - In collaboration with various institutions, SPDB launched the "Commercial Bank Data Management Practice Report," focusing on data-driven management activities and providing insights for other commercial banks [3]