A NEW ERA FOR SASOL Annual financial statements

whitePaper | March 15, 2022

The speeds at which today’s AI technology is advancing is far beyond what many have expected. The role of human decision-making is being eclipsed by computer and machine learning in almost every industry. We see it in autonomous cars and trucks as well as in actual robots pre-programmed to take on tasks once thought to be reserved for humans alone. Ralph Haupter, President of Microsoft Asia and Corporate Vice President, Microsoft stated the following: “I believe 2018 is the year that this will start to become mainstream, to begin to impact many aspects of our lives in a truly ubiquitous and meaningful way” There is no uncertainty in the fact that AI is progressing at the speed of light. It is yet to be seen how this will impact industry on a global industrial level but the applications to payments have not been insignificant in the past several years. This paper seeks to explore the intricacies of this technology, its evolution, and the potential impact of AI in payments in 2018 and beyond.

whitePaper | May 7, 2020

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whitePaper | April 30, 2022

As the demand for real-time payments grows, so does the need for financial institutions (FIs) to offer more robust access to faster and more efficient payments. The Clearing House’s (TCH’s) RTP network laid a solid foundation for use cases and connectivity protocols, but some FIs have been waiting for FedNow before deciding how to move forward. FedNow is finally about to launch.

whitePaper | August 2, 2022

The open banking initiative “connects banks, third-parties and technical providers – enabling them to simply and securely exchange data to their customers’ benefit.”1 These benefits include improved choice for customers, new payment services, as well as more convenient ways to manage their finances online. A core use of the technology is providing digital proof for a future transaction. This can range from proof of funds to proof that debt is being serviced.

whitePaper | January 15, 2020

Investment into Fintechs has grown exponentially and the expectation is that this boom will continue in 2020, if at a slightly slower pace. Venture capital (VC) poured about $40 billion into Fintechs in 2018 – an increase of 120% on 2017, an up from just $1.8 billion in 2011.1 Almost a third of survey respondents believe that investment in 2020 will be at least 50% higher than in 2019, and just under half predict it will be somewhat higher.

whitePaper | February 18, 2020

Organizations that develop their own credit risk models see long lead times to get them built and deployed. Business users determine a need for a new model, which triggers weeks or months of data collection and model development effort – as much as a year. By the time the new model is deployed, market conditions and customer needs have changed, so the process starts over.