![](https://assets.isu.pub/document-structure/230524051210-b0251940f1ec456e8bdb7a7f60a59d95/v1/210816201d6aeb79f8d13acb045064b3.jpeg)
![](https://assets.isu.pub/document-structure/230524051210-b0251940f1ec456e8bdb7a7f60a59d95/v1/9c34ec661efeb686743dac4627006fa4.jpeg)
![](https://assets.isu.pub/document-structure/230524051210-b0251940f1ec456e8bdb7a7f60a59d95/v1/855b86a3c3bb82b4b263bdb9cf06153e.jpeg)
ANDAMLRISKCONTROL THROUGHCLOUDCOMPUTING
Bank uses Machine Learning to evaluate the banking behavior of more than 38 million customers for AML purposes and identify customers who need closer scrutiny
Future: To boost the effectiveness and efficiency of AML initiatives across the sector, HSBC now shares AML concerns with other banks.
ATOMBANKADOPTED APLUG-AND-PLAY APPROACHTOITS TECHNOLOGY LANDSCAPE
Front-end apps drive customer experience and brand. Atom Bank develops its apps in house
Middleware is a bank’s glue. It defines how well a bank can plug-and-play third-party solutions. Datafuels analytics and modeling to drive decision making and scenario planning.
DevOps practices enable releases of new app versions almost every week.