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CFO Tech Outlook | Sunday, January 19, 2020
Artificial Intelligence in the financial sector is still in its infancy stage; however, it is changing and making waves in the market.
Fremont, CA: Artificial Intelligence has taken a journey from a mere concept at Dartmouth College to a $9.5 billion industry, and according to Statista, the number is going up to $118.6 billion by 2025. In the financial sector, it has been widely adopted owing to its immediate applications in streamlining processes, managing risks, and improving customer care. Machine learning (ML) is applicable in the banking and payment sector and can replace front desk and call center employees with robots analyzing transactions and loans. Here’s how AI is reshaping the finance sector.
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The subfield of AI, machine learning, is excellent at finding patterns in data. Based on the information of past customers such as demographic and sociographic insights, the tools can predict risk with high accuracy. With such technological decision-making tools, automation of the underwriting process is possible while cutting costs and processing time significantly. ML can also flag the customers with a high risk of making late payments. The ML algorithms can even predict fraud prevention by comparing usual spending patterns and geolocation.
Customer Care
The finance industry employs a lot of personnel to cater to the customers’ needs. A customer care executive’s job is highly repetitive, requires attention to detail, and is stressful. In the near future, these jobs could be replaced by process automation bots and customer-facing chatbots. Repetitive tasks will be handled by algorithms using natural language processing to provide human-like service. Chatbots can function as 24/7 personal clerks and financial advisors helping people save more money, and manage risky behavior of customers.
Process Improvement
The finance sector is full of additional tasks such as verification, classification, indexing, and storage of heaps of documents, which can be handled by artificial intelligence. With the help of image recognition, the identity and validity of the documents can be confirmed, and identity theft can be stopped. Recently, compliance-based algorithms are sprouting, which have features such as error checking, comparing versions, allowing multiple editors to make changes.
Currently, AI is used in the finance sector to serve consumers, B2B, and in trading. The B2B sphere is focused on risk management, ensuring compliance, and automating risk; the B2C sphere is dominated by personalization, cutting costs, and preventing fraud.
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