An AI-Enabled, Database Tool for Insight-Driven Residential Mortgage Investment Analytics

LTMA由Simon Potter和Olivier Defaux创立，是一家快速发展的中小企业，旨在解决当前（全球）住宅抵押贷款投资者大量使用过时的电子表格方法所带来的挑战。该项目的创始人具有创业背景和资深投资银行系统经验，他们打算利用人工智能开发一种以技术为主导的解决方案，从而减少不必要的人力资源，并让贷款投资者获得有价值的数据洞察力。人们还期望人工智能可以用于识别数据集（无论是原始数据还是计算数据）中的错误，并提高数据质量。预计这一创新还有助于解决COVID-19大流行造成的投资组合损害、不确定性和资源短缺问题。

Founded by Simon Potter and Olivier Defaux, LTMA is a rapidly growing SME that intends to address the challenges posed by the significant use of outdated spreadsheet approaches among current (global) investors in residential mortgages. Offering backgrounds in entrepreneurship and senior investment banking with systems experience, the founders of this project intend to develop a technology-led solution using AI, that could reduce unnecessary human resources and allow the loan investor to receive valuable data insight.It is also expected that AI could be used to identify errors in data sets (whether primary data or calculated) and improve data quality.It is anticipated that this innovation could also help to address the portfolio damage, uncertainty, and resource shortages inflicted by the COVID-19 pandemic.