TFG were live at the Telegraph’s Future of Trade & Export conference, joined by Michael Boguslavsky, Head of AI at Tradeteq. There are a number of disruptive opportunities to digitise trade finance, including, machine learning, artificial intelligence, robotics, natural language processing.

The Telegraph’s ‘Future of Trade and Export’ conference sought to explore ‘new opportunities in international trade policy, finance and technology’.

Crypto assets (including Crypto currencies) and the technologies which underpin them are important because of the potentially huge benefits to society they can deliver. TFG heard from Manu Duggall on their standing under English law, which will determine whether that law will be chosen as the law of the contract and the forum for disputes over others.

TFG are delighted to be joined by Michael Vatikiotis, who was the keynote speaker earlier today at FCI’s 51st Annual Meeting in Ho Chi Minh City, an experienced author, journalist and conflict moderator specialising in Southeast Asia.

East and Partner’s Martin Smith and Simon Klein discusses emerging Australasian trade finance trends and approaches to capitalize on them. Voice of the Customer Analytics In the face of global… read more →

Fourteen leading global financial institutions have launched the Trade Finance Distribution (TFD) initiative to use technology and standardisation for the wider distribution of trade finance assets.

SWIFT – The Society Worldwide Interbank Financial Telecommunication was founded in 1973 and has been the global standard for financial messaging between banks ever since. The messaging service is used by over 11,000 banks and institutions across 200 countries and have sent over three billion financial messages so far in 2019.

The use of distributed ledger technology in the trade finance space is moving fast.
Today’s DLT-trade ecosystem can be sectioned into a series of eight major consortia and networks that are taking strides in various areas of the space.

The Gartner hype cycle serves as a tool to help decision makers and investors gauge the actual current state of a technology in a given domain, separating its real-world utility from its surrounding hype and disillusionment. The cycle was first introduced in 1995 and has since served as an accurate representation of the typical progression of an emerging technology.

Why distributed platforms and networks can achieve global scale and adoption previously impossible with legacy technologies, architecture, and business models.