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Blog
Catch up on our latest news and content.
Euromoney: Commodity trade finance at the crossroads
Fraud, commodity prices and concerns over defaults have created a perfect storm for commodity trade finance – and the capacity of trading firms and finance funds to support the market remains unclear.
Inside Small Business: Technology investment for SMEs: consider the bigger picture
Our Head of AI, Michael Boguslavsky, explains how technology can help SMEs during the pandemic, but how this needs requires a bigger picture to be effective.
Global Banking & Finance Review: Trade out to help out: How governments should be supporting SME supply chains
Our CEO, Christoph Gugelmann, explains how governments can help SMEs in the long term
Euromoney: Banks back further state intervention in trade finance market
Christoph Gugelmann, CEO at Tradeteq explains the need for state intervention and the importance of distributing trade finance assets to help banks extend trade finance.
Business Chief Asia: Researching the potential of quantum computing in finance
Our head of AI, Michael Boguslavsky, explores how the financial mechanisms underpinning global trade are undergoing significant change
Global Banking and Finance Review: Machine learning critical for better SME credit scoring in trade finance
Tradeteq released a whitepaper detailing how AI and broader data collection can overcome the “trade finance gap”
ITFA: TFD Initiative: Asset Distribution – A Macro-Economic Necessity
Tradeteq's whitepaper explains how trade finance distribution helps small businesses.
Financial IT: Tradeteq calls for government action to improve trade finance distribution during the Covid-19 crisis
Tradeteq launches new whitepaper
Tradeteq calls for government action to improve trade finance distribution during the COVID-19 crisis
Tradeteq calls on government to use trade finance distribution to help SMEs
The Fintech Times: Singapore Management University and Tradeteq to develop quantum computing credit scoring for trade finance
SMU and Tradeteq seek to build a predictive machine learning model which has the potential to improve credit scoring accuracy.
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