ÌÇÐÄVlog

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  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.

Business value

Preqin has exceeded all commercial impact projections and is on track to secure an excess of £1.5m return on their investment. The firm now boasts an AI enabled suite of insight tools for their investors and commended the project for operating as a ‘partnership rather than a consultancy’.

The first KTP, now complete, saw Preqin awarded , with the appointed Data Scientist, James Madge, being recognised as a Future Leader by Innovate UK. James also secured a lead researcher role with Preqin as Vice President of Data Science, to continue to further the KTP outcomes.

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