“Financial institutions have the opportunity to maximise the value of transaction data residing in their internal processing systems when combining it with machine learning.”, explains André Casterman, Chair ITFA Fintech Committee. “Real-time data feeds increase the timeliness of transaction-level insights whilst access to a larger number of data sources and to a higher volume of transactions increases the accuracy of predictive insights.”
A series of ITFA fintechs will showcase – with early adopter banks – their data management and machine learning capabilities in both origination and distribution spaces, demonstrating how their value propositions help transaction banks and factoring companies extend benefits to their corporate and SME clients, and to their non-bank funders.
“Deutsche Bank is delighted to host this ITFA educational session and to welcome the ITFA membership in the City. As a leading player in trade finance, we are keen to contribute to the growing understanding of trade-focused fintech propositions”, adds Jonathan Lonsdale, Director, Head of Securitisation & Repackaging, Trade Finance & Lending, Global Transaction Banking at Deutsche Bank “Further automating trade origination and distribution processes and making increased use of transaction data through machine learning offers the potential to widen the reach of trade finance which is a priority for the industry.”
This event is free of charge and strictly restricted to ITFA members with a maximum of 8 persons per ITFA member institution. Please register by sending an email to ITFA. A confirmation email will follow.
Please also contact us in case you wish to join ITFA.
We do thank Deutsche Bank for hosting this ITFA gathering and we look forward to welcome many of you on June 6th. The event will start at 16:00 and will be concluded with a networking reception. Agenda, speakers and venue details will be confirmed in due time.
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