摘要
为提升大数据、人工智能等技术的金融场景应用质效,提高金融服务敏捷化、智能化水平,搭建整合数据采集存储、批流一体化计算能力的大数据基础服务平台,建设集成主流机器学习框架及基础算法模型、具备全流程建模能力的人工智能基础服务平台,并在平台基础上构建场景化数据资产及应用算法模型,推出面向不同业务场景的智能化产品。实践结果表明,不同场景的智能化产品使投研效率提高数十倍,助力理财业务实现15%左右增长,会计风险核查准确率提高到90%以上。基于大数据、AI平台的研发范式,能推动智慧金融产品高效、敏捷落地与应用,有助于推动银行智慧化转型、高质量发展。
To improve intelligent financial products’business application effects and facilitate more agility and accurate financial services,an intelligent construction method based on big data and AI platforms is proposed.Firstly,a big data platform integrating collection,storage,batch processing and stream computing is constructed,and an AI platform covering mainstream machine learning framework and typical algorithms is build.Secondly,based on the platforms the scenarized data assets and applied algorithm models are constructed to create intelligent financial products oriented toward various business fields.The practice results show that the intelligent products and services increase investment research efficiency dozens of times,boost wealth management business growth up to 15%,and improve accounting risk verification accuracy above 90%,which significantly enhances the business quality and performance from various aspects and promotes the progress of digital transformation and high-quality development.
作者
陈强
代仕娅
CHEN Qiang;DAI Shi-ya(Department of Information and Technology,Industrial Bank Co.,LTD,Shanghai 201201,China;CIB Digital Financial Services Co.,LTD,Shanghai 201210,China)
出处
《软件导刊》
2021年第2期31-39,共9页
Software Guide
关键词
智慧金融
大数据平台
AI平台
垂直架构
intelligent finance
big data platform
AI platform
vertical architecture
