Data Natives
“Deep Learning in Real Estate”, Emilio Matthaei, CEO at Leverton
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About the Author:
Emilio is CEO of LEVERTON. As a passionate data strategist, entrepreneur, ex-banker and researcher – Emilio revolutionizes how individuals work with data and documents.
LEVERTON develops and applies disruptive deep learning/ machine learning technology to extract and manage data from corporate documents in more than 20 languages. Global clients such as Bilfinger, Clifford Chance, Deutsche Bank, Goldman Sachs, JLL and Strabag trust LEVERTONs smart data solution which enables a web-based contract management with the highest data security.
Before LEVERTON, Emilio spent six years with Houlihan Lokey and Goldman Sachs in Investment Banking in London. He was involved in 20 financial transactions, incl IPOs, M&As, Capital Increases and Restructurings.
Emilio studied Economics and Management in Bonn and Leipzig and graduated with a PhD, summa cum laude, in the field Strategic Management. He wrote two books, ‘Strategies for Innovators’ and ‘The Nature of Executive Work’, and spent a year as Visiting Researcher at the University of Oxford.
Source
Deep learning models will add efficiency to internal data mining and analysis for many institutions, including organizations with extensive real estate leases, both on the lessor and lessee side, leading to better informed financial decisions, site location and relocation decisions, variance analysis, performance monitoring and many more applications.