Research solution
Preqin embarked on two Knowledge Transfer Partnerships (KTPs) across two different domains: (1) advanced machine learning to develop faster, more automated extraction of key criteria from investment research; and (2) cutting-edge knowledge graph and network science research to enable the firm to generate advanced insights from huge volumes of dissimilar data.
Through Innovate UK funding, the tech team at Preqin were able to engage Professor Phillip Leifeld and Dr Spyros Samothrakis to lead the projects, in collaboration with two appointed data scientists specialising in text analytics and network science applications.
By combining advanced algorithm development with sophisticated machine learning methodologies and network science; the academic teams were able to make sense of both structured and unstructured data to deliver new insights and automate the provision of recommendations at scale.