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.
A-Team Insight Briefs
Tradeteq Partners with Wroclaw University to Boost AI capabilities for Supply Chain Credit Analysis
Date: 30 November 2021 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Intelligent machine readable news is a powerful tool in the arsenals of trading and investment firms seeking competitive advantage. It turns unstructured data into actionable insight and can be used, for example, to uncover market trends, identify correlations and...
Symphony’s Cloud9 Acquisition Lays Path for Combining Voice Communications with Natural Language Processing
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DMS London brings together the European data management community to explore the latest challenges, opportunities and data innovations facing sell side and buy side financial institutions.
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