Banking on the Future
How Artificial Intelligence is Changing Risk Assessment and Algorithmic Trading in Financial Services
The Financial Services sector is undergoing a technological revolution, and Artificial Intelligence is at its core.
It’s not just about automating tasks; AI enables advanced Risk Assessment techniques, revolutionizes Algorithmic Trading strategies, strengthens Fraud Detection, and significantly improves Customer Service.
The technologies range from machine learning models that predict market trends to chatbots that handle customer inquiries 24/7.
This article category aims to dive deep into how Artificial Intelligence is bringing about these groundbreaking changes, turning conventional methods on their head and offering a glimpse into a more efficient and secure future of financial management.
History of AI Usage in Financial Services
Artificial Intelligence in Financial Services isn’t a new phenomenon; it traces its roots back to algorithmic trading systems deployed as far back as the late 1980s.
However, the advancements in AI capabilities in the past decade have been revolutionary. Risk Assessment algorithms have become increasingly sophisticated, considering many variables that were once impossible to analyze at scale. Fraud Detection systems now employ machine learning algorithms that recognize patterns and anomalies in financial transactions, making them exponentially more effective.
Customer Service, too, has seen the Introduction of AI-based chatbots that can handle a wide range of queries around the clock. AI has transitioned from a supplementary tool to a central component in financial decision-making and operations.
