Oct 27, 2020

Finastra enables next-gen innovation with Fusion Data Cloud

Finastra
Fusion Data Cloud
Digital Transformation
advanced analytics
William Girling
2 min
Leading fintech Finastra has launched Fusion Data Cloud, a suite dedicated to driving engagement, growing revenue and enhancing digitisation
Leading fintech Finastra has launched Fusion Data Cloud, a suite dedicated to driving engagement, growing revenue and enhancing digitisation...

Leading fintech Finastra has launched Fusion Data Cloud, a suite dedicated to driving engagement, growing revenue and enhancing digitisation.

Developed through the company’s open collaboration platform FusionFabric.cloud, the new range of solutions will provide the following benefits:

  • A secure data ecosystem built from Microsoft Azure, facilitating high-speed data gathering, structuring and analysis, as well as faster R&D.
  • Deep learning algorithms capable of rendering fast, prescriptive analytics to unlock insights into customer behaviour and improve decision making.
  • Enhanced omnichannel communication and data visualisation.

When we spoke with Eli Rosner, Chief Product and Technology Officer, on the subject of digital transformation, he made it clear that increasing technological sophistication was essential to the business continuity of financial services companies. 

Commenting in the official press release for Fusion Data Cloud, he emphasised the important role that the company could play in facilitating this much-needed change: 

“Finastra is uniquely placed to connect fintechs, financial institutions, and third parties to accelerate the creation of innovative data solutions for our customers and our partners. Those that embark on this data journey with us can kick start their move towards deeper customer insights and business growth. 

“Our open ecosystem revolutionizes the innovation process – advanced analytics can generate crucial insights for financial institutions to help them personalise and transform the customer experience, reduce risk and amplify business results.”

Redefining global finance

Fusion Data Cloud’s announcement comes a month after Finastra’s declaration that it was seeking to accelerate industry change by leveraging its technology and ecosystem.

Holistically targeting EMEA, APAC and the Americas, the company’s vision of setting a new industry standard appears to be coming into fruition.

“The pandemic has brought the future forward, driving increased demand for digital transformation in the financial services sector,” said Wissam Khoury, Head of International.

“This is also a pivotal moment in which we have the chance to redefine finance for good and create new solutions that put better outcomes for society at the centre.”

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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

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