Accelerate an urgent sustainable economic recovery from Covid19 in the UK mortgage market : Applying an AI lens

Digilytics是一家快速发展的英国中小企业，专注于人工智能。Digilytics由Arindom Basu领导，他是一位技术企业家，在开发和引入金融服务颠覆性技术方面拥有30年的经验。抵押贷款申请过程是一个复杂而漫长的融资过程。仅抵押贷款发放过程就涉及人工处理大约100种不同类型的纸质文件。可能会出现多个重复，错误会导致长时间和不必要的延误。Digilytics的创新将结合联合收割机计算机视觉、机器学习和NLP技术，大规模创建首次正确的抵押贷款应用。2020年5月，英国央行警告称，英国经济正面临自1706年以来最严重的衰退。抵押贷款行业是受COVID-19危机影响最严重的行业之一。首次购房者、脆弱和贫困地区以及中小企业受到了很大影响。英国金融指出，200万还款假期增加了运营成本，贷款人已经撤回了近三分之二的产品，占LTV的75%以上（威廉姆斯，2020年6月）。首先，无纸化将带来环境效益。通过更简单和精简的流程，员工可以被重新部署到需要更多人际互动的地方，从而提供社会效益、更高的客户满意度和更低的声誉风险，以及监管机构在现场检查期间的有利意见。这将带来更有利的治理效益。总体而言，该创新非常适合ESG框架。交易成本的降低应该会带来更实惠的信贷可用性和金融稳定性。这项创新将利用金融BERT和GPT 3等先进技术实现抵押贷款文件的一次性学习。通过利用大规模并行处理的创新软件架构和工程技术，可以实时和大规模地验证文档和跨文档级别的提取数据。总之，创新项目是一种在Covid 19后实现更可持续融资的手段，将环境，社会和治理问题纳入其中。

Digilytics is a fast growing UK-based SME specialising in Artificial Intelligence. Digilytics is led by Arindom Basu, a technology entrepreneur with 30 years' experience in developing and introducing disruptive technology in financial services. The mortgage application process is a complex and lengthy funding process. The mortgage origination process alone involves the manual processing of around 100 different types of paper documentation. Multiple duplications can occur and errors lead to lengthy and unnecessary delays. Digilytics' innovation will combine computer vision, machine learning and NLP technology to create first-time-right mortgage applications at scale.In May 2020, the Bank of England warned that the UK economy is facing the sharpest downturn since 1706\. The mortgage sector has been one of the worst-affected sectors by the COVID-19 crisis. First-time home buyers, vulnerable and underprivileged areas and SME businesses have been greatly affected. UK Finance states that the two million repayment holidays have increased the cost of operations and lenders have withdrawn almost two-thirds of their products representing over 75% LTV (Williams, June 2020).The innovation contributes to more sustainable financing in a number of ways. Firstly, going paperless will lead to environmental benefits. With a simpler and streamlined process, employees can be redeployed to where more human interaction is necessary, providing social benefits, greater customer satisfaction and less reputational risk as well as favourable views by regulators during on-site examinations. This will lead to more favorable governance benefits. Overall, the innovation fits very well within an ESG framework. The reduction in transaction costs should lead to more affordable credit availability and financial stability.The innovation will achieve one-shot learning of mortgage documents leveraging advanced techniques such as Financial BERT and GPT3\. Validation of extracted data at document and cross-document levels in real-time and at scale will be made possible through innovative software architecture and engineering that leverages massively parallel processing.In summary, the innovation project is a means to more sustainable finance post Covid19 incorporating environmental, social and governance concerns.