About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

FactSet Collaborates with CID to Strengthen AI Capabilities for Clients

Subscribe to our newsletter

FactSet has teamed up with AI software specialist CID to build a joint data lake for the financial services industry. The data lake merges unstructured public web content with FactSet’s structured content sets, along with optional third-party and client content, into vast entity relationship graphs. The aim of the multi-year collaboration is to provide FactSet clients with tools to extract valuable insights from qualitative, unstructured datasets, in turn improving business processes and client interaction.

CID is an AI software innovator headquartered near Frankfurt, Germany, set up in 1997, and offering what the company describes as a ‘thematic intelligence’ platform. Called Affinity, the platform allows asset managers to build better investment solutions by enriching fundamental data with qualitative insights.

“The alliance with CID strengthens our AI capabilities so that clients can benefit from more actionable insights,” says Jonathan Reeve, executive vice president, head of content and technology solutions at FactSet. “The collaboration allows the CID no-code technology to seamlessly integrate with our data feed and API offerings to provide clients with self-service AI at scale.”

Alexander Loerch, managing director at CID, comments: “When qualitative insights mesh with fundamental and unstructured data, incredible things can happen.”

Beyond their initial collaboration, FactSet and CID will continue to work together to release additional AI-related products and services designed to strengthen FactSet’s AI capabilities.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: End-to-End Lineage for Financial Services: The Missing Link for Both Compliance and AI Readiness

The importance of complete robust end-to-end data lineage in financial services and capital markets cannot be overstated. Without the ability to trace and verify data across its lifecycle, many critical workflows – from trade reconciliation to risk management – cannot be executed effectively. At the top of the list is regulatory compliance. Regulators demand a...

BLOG

Financial Markets Need Explainable Agents, Not Black Boxes

By Cédric Cajet, Product Director, NeoXam. Artificial intelligence (AI) is fast becoming the newest arms race in financial markets. From portfolio construction to risk modelling and client reporting, firms are racing to embed machine learning and generative AI into their operations. Whether it’s faster insights to make better investment decisions or the ability to reduce...

EVENT

RegTech Summit London

Now in its 9th year, the RegTech Summit in London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

Applications of Reference Data to the Middle Office

Increasing volumes and the complexity of reference data in the post-crisis environment have left the middle office struggling to meet the requirements of the current market order. Middle office functions must therefore be robust enough to be able to deal with the spectre of globalisation, an increase in the use of esoteric security types and...