
Leveraging artificial intelligence for payments efficiency |
A number of change drivers are putting pressure on institutions in the payments business, from increasing compliance obligations, to more demanding customers and new sources of competition, to the move to real-time 24x7 payments and the need to modernise legacy systems. In order to respond to these drivers for change, financial institutions need to have the highest levels of efficiency across key activities like payments processing, customer on-boarding, product innovation, time to market and sanctions screening, AML and fraud detection.
But what can institutions do if they have implemented the full extent of the automation possible using traditional systems? Are there alternatives to simply throwing more people at the unautomated aspects in the hope of driving further efficiency that way?
Here, artificial intelligence (AI) could play an increasingly important role. In the financial services domain, intelligent systems can simulate the characteristics of the human brain to demonstrate AI. Natural Language Processing, for example, enables information presented by human beings in free format text to be understood and acted upon by computers, while Machine Learning enables computers to remember repeated past experiences and to perform past actions automatically in a controlled and supervised manner, and Knowledge-Based Systems use common sense and domain specific information to make automated decisions, simulating intelligent behaviour in a well-defined domain.
Where are the opportunities to deploy AI in payments processing, and what progress has been made with the adoption of AI in this space so far? You are invited to share your views on this important topic by completing the survey on the following pages.
But what can institutions do if they have implemented the full extent of the automation possible using traditional systems? Are there alternatives to simply throwing more people at the unautomated aspects in the hope of driving further efficiency that way?
Here, artificial intelligence (AI) could play an increasingly important role. In the financial services domain, intelligent systems can simulate the characteristics of the human brain to demonstrate AI. Natural Language Processing, for example, enables information presented by human beings in free format text to be understood and acted upon by computers, while Machine Learning enables computers to remember repeated past experiences and to perform past actions automatically in a controlled and supervised manner, and Knowledge-Based Systems use common sense and domain specific information to make automated decisions, simulating intelligent behaviour in a well-defined domain.
Where are the opportunities to deploy AI in payments processing, and what progress has been made with the adoption of AI in this space so far? You are invited to share your views on this important topic by completing the survey on the following pages.
Responses are invited from Financial Institutions, Innovation Groups (Fintechs, Incubators & Accelerators) and Corporates.
The survey will be used to produce a report that will feature only anonymised and aggregated data. Individual responses are strictly confidential and your details will not be passed on to any third parties.
The survey will be used to produce a report that will feature only anonymised and aggregated data. Individual responses are strictly confidential and your details will not be passed on to any third parties.
Participants completing the survey in full will be entered in to a draw to win an Apple MacBook Air.