FINNBARR: Financial Networks Background, Audit, Recon, and Reporting

当前的新冠肺炎疫情给金融服务业带来了更大的压力，包括支持远程工作、应对疾病，以及看到对政府支持的计划的前所未有的需求。正如产业战略挑战基金--下一代服务--所强调的那样，这为人工智能和数据分析提供了帮助人类工作的机会。该项目采用自然语言处理、机器学习和知识图谱技术，通过人、地点、事件和文档的联系，建立英国公司的全面图景。通过创建用户友好的界面来查询和浏览这些数据，可以提高金融服务部门员工的工作效率，并通过更好地了解公司周围的联系网络并主动监控这些数据的变化来降低风险。在数据之上使用语义层允许用户查询数据中的含义，并基于这些结果创建连接。总体而言，该项目旨在为金融服务部门提供下一代软件，通过智能地使用技术，帮助改善其在下一次危机中的反应时间。

The current Covid-19 Pandemic has put increased pressure on the Financial Services industry in terms of supporting remote working, dealing with sickness, and seeing unprecedented demand for government backed schemes. This provides the opportunity, as highlighted in the Industrial Strategy Challenge Fund -- Next Generation Services, for AI and data analytics to assist humans in their work.This project employs natural language processing, machine learning, and knowledge-graph technologies to build up a comprehensive picture of UK companies through their connections through people, places, events, and documents. By creating a user-friendly interface for querying and exploring this data, productivity of staff within the Financial Services sector can be improved, as well as reducing risk through having a better visibility of the network of connections surrounding a company and proactive monitoring of this data for changes. Using a semantic layer on top of the data allows users to query meaning in the data, as well as creating connections based on these results. Overall, this project aims to provide next generation software into the Financial Services sector which can help to improve its response time during the next crisis through the intelligent usage of technology.