Jun 9, 2021

AWS webinar: Leveraging data and automation to drive growth

AWS
Automation
Data
Goldmansachs
2 min
Learn more about the topics for AWS’ forthcoming webinar event with FinTech Magazine featuring Goldman Sachs: data, automation, compliance, and more.

Registration is still open for ‘How to modernise transaction banking and payments through AWS Marketplace’, an essential webinar event taking place on 22 June 2021 at 10am BST.

The idea that ‘data is the new oil’ has become a truism in finance as digital adoption continues to transform and modernise the industry. However, how one then chooses to extract value from that data is not so broadly understood.

Delivering superior CX (customer experience) has become an important competitive battleground (45.9% of businesses rated it as a top priority for the next five years) and customer data is the key. By building a more complete picture of customers, financial service institutions (FSIs) will be able to personalise product offerings, build loyalty, and maintain engagement.

Automation tech is the engine that drives this growth potential, effectively breaking down silos and linking disparate and voluminous data streams together. However, as regulation continues to shape the course of tech innovation in finance, it will be vital to address emerging compliance issues and establish new standards in cybersecurity and governance.

Esther F. Mendez, Worldwide Banking and Payments Partner Development Lead at AWS; and Angelos Anastasiou, Chief Solutions Architect, Transaction Banking at Goldman Sachs - will outline some practical advice and share real-world examples to illustrate how businesses can achieve these outcomes and more.

Do you want to find out how AWS Marketplace’s third-party solutions can help to meet constantly evolving customer expectations? Register for the webinar now.

Share article

Jun 19, 2021

AI and the future of global trade

AI
Tradeteq
trade
Finance
Michael Boguslavsky, Head of A...
3 min
Boguslavsky explores AI's potential in trade finance; could it overcome traditional barriers and usher in a new era of financial transformation?

Artificial intelligence (AI) is becoming entrenched in our daily lives, but the technology is still surrounded by misconceptions and skepticism. Ask the public and they may jump to dystopian scenarios where robots have taken over the world. 

While this makes for a good sci-fi blockbuster plot, the reality is different and more benign. Those products that Amazon suggested you buy? AI. That TV series you were recommended to watch on Netflix? AI. That self-driving Tesla car you crave to take for a spin? You guessed it: AI.

There is no single industry that is not being re-shaped by technology. Until recently, however, there was one noteworthy exception: global trade. Fortunately, that is slowly changing.

The mechanism that underpins global trade – trade finance – is an industry that remains largely paper-based and reliant on manual processes. This US$18tn a year industry is now being influenced by a new wave of technological innovation, including AI.

Exploring the potential of AI in Trade Finance

AI refers to the use of computer-aided systems to help people make decisions or make decisions for them. It relies on large volumes of data and models to make sense of information and draw intelligence. 

In trade finance, AI is helpful in analysing quantitative data, and the repetitive nature of trade finance means that there is a lot of non-traditional data at our disposal. 

This means that when trade finance providers need to assess the risks of funding a transaction, AI models can be a very efficient tool for data analysis and reveal intelligence and risks relating to small companies.

AI helps the industry move beyond traditional credit scoring processes, which are often outdated and remain reliant on historical accounting entries – a barrier that prevents small companies from accessing trade finance and has resulted in a $1.5tn global shortfall. 

Overcoming the barriers

AI can tackle this shortfall by creating accurate credit scoring models. This can include a company’s payment history, measure the risks of funding a transaction, identify supply chain risks, and benchmark them against their peer group.

Trade finance providers can use this information to communicate effectively with their SME clients, ultimately helping establish better business relationships.

Towards a technological utopia?

The adoption of AI has the potential to do a lot of good in the industry, and the industry is in the early stages of radical transformation.

Advances are driven by fintechs as well as a willingness to change. The industry is working together to create new infrastructure for distributing trade finance assets to other investors in a transparent, standardised format. 

The creation of infrastructure is possible due to improvements in technology and integrated across the trade ecosystem in cooperation with banks, insurers, and other industry participants. 

It’s collaboration at its best: together, the industry is using technology to re-shape global trade as we know it.

This article was contributed by Michael Boguslavsky, Head of AI at Tradeteq

Share article