在大模型技术的推动下，数据资产化与数据智能应用的步伐正在加速。金融机构作为数据密集型行业，面临着高质量数据供给不足、合规使用路径不清、应用赋能增值不充分等挑战。为了解决这些难题，徐小磊和王环两位专家在InfoQ《超级连麦. 数智大脑》xFCon直播中深入探讨了数据资产化运营与数据智能应用的关键步骤。
徐小磊指出，银行金融科技的发展带来了技术、数据、合规等多方面的挑战。大模型的兴起为银行金融科技带来了机遇，但也带来了系统集成和数据合规的难题。银行需要确保数据质量和合规性，同时，金融科技的发展也面临着人才和组织架构的挑战。在存量时代，银行需要借助科技力量提升客户服务体验，寻找第二增长曲线。
王环补充说，证券行业数字化转型最大的突破在于IT系统建设思路的转变。从单一业务流程转向整个企业乃至跨企业数据流通和共享，建立统一的数据源，是数字化转型的关键。然而，大量遗留系统难以改造，成为数据团队或中台团队面临的挑战。
两位专家强调，数据作为企业新型资产需要全生命周期的体系化运营和管理，借助AI等技术工具，才能实现数据智能在企业业务场景的应用并带来价值。他们呼吁金融机构抓住大模型技术的发展机遇，解决数据标准、数据质量、数据合规、数据供需平衡等难点，为数据智能应用奠定基础。
8月16-17日，FCon全球金融科技大会在上海举行，两位专家将在「数据资产化运营与数据智能应用」专题论坛中与参会者深入交流和分享。大会还将聚焦AIGC+风控、AIGC+营销运营、AIGC+研发等场景，邀请来自银行、证券、保险的专家分享最佳实践。点击链接可查看本次大会专题安排。
英语如下：
News Title: “Data Assetization Leap Forward: A New Path for Intelligent Applications Driven by Large Models”
Keywords: Data Assets, Intelligent Applications, Model Background
News Content:
Under the push of large model technology, the pace of data assetization and data intelligent application is accelerating. Financial institutions, as data-intensive industries, face challenges such as insufficient high-quality data supply, unclear compliance usage pathways, and insufficient application empowerment and value addition. To address these issues, Xu Xiaolei and Wang Huan, two experts, delved into the critical steps of data assetization operation and data intelligent application in a live broadcast titled “Super Chain Call: The Brain of Big Data and Intelligence” hosted by InfoQ’s xFCon.
Xu Xiaolei pointed out that the development of fintech in banks has brought challenges in technology, data, and compliance. The rise of large models has brought opportunities to fintech in banks, but also presented challenges in system integration and data compliance. Banks need to ensure data quality and compliance, and fintech development also faces challenges in talent and organizational structure. In the era of stock assets, banks need to leverage technological power to improve customer service experience and seek a second growth curve.
Wang Huan added that the biggest breakthrough in the digital transformation of the securities industry lies in the change of IT system construction thinking. Shifting from a single business process to data circulation and sharing across the entire enterprise and even across enterprises, establishing a unified data source is the key to digital transformation. However, a large number of legacy systems that are difficult to modify pose challenges for data teams or middle-office teams.
The two experts emphasized that data, as a new type of corporate asset, needs systematic operation and management throughout its lifecycle, leveraging AI and other technical tools to apply data intelligence in business scenarios and bring value. They called on financial institutions to seize the development opportunities brought by large model technology, solve the difficulties such as data standards, data quality, data compliance, and data supply and demand balance, and lay a solid foundation for data intelligent applications.
On August 16-17, the FCon Global Fintech Conference was held in Shanghai, where the two experts will engage in in-depth exchanges and share insights in the special forum on “Data Assetization Operation and Data Intelligent Application.” The conference will focus on scenarios such as AIGC + risk control, AIGC + marketing operations, and AIGC + development, inviting experts from banks, securities, and insurance companies to share best practices. Click the link to view the detailed schedule of this conference.
【来源】https://mp.weixin.qq.com/s/ZeVrfupXmuwsa_KruDVlLw
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