Machine-readable news platform provider RavenPack has granted access to its historical data to crowd researchers seeking alpha signals on CloudQuant’s online Python and JupyterLab-based tools. The initiative aims to support data scientists designing tools to improve financial modelling.
Unstructured data and text now accounts for the majority of information flowing through financial markets organisations, spanning research content, corporate disclosures, communications, alternative data, and internal documents. While AI has created new opportunities to extract signals, many firms are discovering that value is constrained not by models, but by the quality of the content, architecture,...
Two decades since its formation, Dakota has transformed its business from raising capital to providing private market participants with data and tech services. It’s history is one of nimble adaptation and being able to divine the growing needs of a booming yet often opaque corner of the financial sector. Company President Rob Robertson spoke to...
Now in its 17th year, Data Management Summit (DMS) London returns In April 2027, to explore how to use data and AI to drive measurable business outcomes reliably, repeatedly and at scale.
Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...