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How artificial intelligence is transforming finance

Updated: Nov 24, 2022

Increasingly complex and volatile supply chains have put procurement teams under pressure to adopt more agile management processes using AI solutions.

Thanks to the increase of technology, today’s businesses have previously unprecedented opportunities to capture data across myriad digital touchpoints. That data is the key to making informed decisions instead of acting on emotion or educated guesswork. Moreover, data-driven insights can inform practically every business area from marketing to procurement.

Unfortunately, translating data into actionable insights remains very challenging. The problem is the enormous scale of today’s data sets, which has far superseded people's abilities to make sense of them. We need modern solutions powered by artificial intelligence and machine learning.

What are artificial intelligence and machine learning?

Artificial intelligence (AI) and machine learning (ML) have become two of the most commonly used terms in computer science. Although they are often used interchangeably to describe an ‘intelligent’ software application, they are not quite the same thing. That said, they often work together to achieve a broader goal.

We can define AI as any system that performs tasks that emulate human intelligence, such as thinking, reasoning, or learning from experience. AI is the chief technology behind automation solutions, such as personal assistants or industrial robots. ML, on the other hand, is a subset of AI that deals specifically with learning from data rather than being explicitly programmed. Examples include product recommendations and email spam filtering.

How are these technologies changing fintech?

As a core component of any business, financial operations generate a wealth of valuable data. By leveraging AI and ML to analyse and manage such data at scale, finance departments and firms can make informed decisions at a speed that is simply impossible when relying purely on manual processes.

In finance, AI and ML have proven especially valuable in operations about information security, fraud detection, credit risk assessments, and compliance automation, all of which are critical to procurement and other key business operations. The fintech sector is thus leveraging these technologies to enhance efficiency and make it easier to do business in today’s often unpredictable and rapidly evolving economy.