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

A-Team Insight Briefs

Tradeteq Partners with Wroclaw University to Boost AI capabilities for Supply Chain Credit Analysis

Subscribe to our newsletter

Tradeteq, an electronic trading platform for institutional trade finance investors, has partnered with researchers at Wroclaw University of Science and Technology (WUST) to explore and develop new models for data analysis using artificial intelligence (AI). Tradeteq has developed an advanced credit-scoring model for SMEs and corporations that uses machine learning tools to apply an evidence-based credit score for each company. The six-month collaboration with WUST’s Computer Science department, led by Dr Tomasz Kajdanowicz, will explore how company and trade flow data can be better analysed to improve supply chain credit analysis.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The emerging structure of the institutional digital assets market

As interest in trading digital assets continues to increase among institutional investors, so too does the need to focus on market structure, regulation and trading solutions. For financial institutions that get it right the rewards will be significant, but it is not necessarily easy and the challenges are many. This webinar will consider how digital...

BLOG

CTM Debuts New Tri-Party Matching Workflow for Prime Brokers with Société Générale as First to Go Live

The Depository Trust & Clearing Corporation (DTCC), the leading provider of post-trade market infrastructure for the global financial services industry, has announced Société Générale as the first Prime Broker to adopt the Central Trade Manager’s (CTM) automated tri-party trade matching workflow. This development comes as the financial services sector worldwide braces for T+1 and more...

EVENT

AI in Capital Markets Summit London

The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.

GUIDE

Enterprise Data Management, 2010 Edition

The global regulatory community has become increasingly aware of the data management challenge within financial institutions, as it struggles with its own challenge of better tracking systemic risk across financial markets. The US regulator in particular is seemingly keen to kick off a standardisation process and also wants the regulatory community to begin collecting additional...