3 AI APPLICATIONS IN BANKING T O L O O K O U T I N 2 0 2 5 !

INTRODUCTION

“IS ARTIFICIAL INTELLIGENCE LESS THAN OUR INTELLIGENCE?”

Artificial Intelligence has impacted one industry more than any other, it’s the Banking industry. For organizations working in the banking industry, it has become increasingly crucial to keep up with competition, and increase their standing as an

innovative company.com

—SPIKE JONZE

A M L P A T T E R N D E T E C T I O N

F R A U D D E T E C T I O N

A L G O R I T H M I C T R A D I N G

APPLICATIONSF O R R E V O L U T I O N I Z I N G B A N K I N G I N D U S T R Y

Anti-money laundering (AML) refers to a set of procedures, laws or regulations designed to stop the practice of generating income through illegal actions. In

most cases, money launderers hide their actions through a series of steps that make it look like money that came from illegal or unethical sources are earned

legitimately.

A M L P A T T E R N D E T E C T I O N

Fraud detection is one of the fields which has received massive boost in providing accurate and superior results with the intervention of artificial

intelligence.  It’s one of the key areas in banking sector where artificialintelligence systems have excelled the most.

F R A U D D E T E C T I O N

Plenty of Hedge funds across the globe are using high end systems to deploy

artificial intelligence models which learn by taking input from several sources of

variation in financial markets and sentiments about the entity to make investment

decisions on the fly.

A L G O R I T H M I C T R A D I N G

T H A N K Y O U !Stay tuned for such presentations.

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