Finance falls amongst one of the first industries that were able to recognize how promising the scope of the Big data Revolution is. It was also one of the first industries to feel the waves of AI or Artificial Intelligence. Did not take a long time for Artificial Intelligence to emerge as a powerful tool that changed the spectrum of financial services. If an Organization is able to deploy it with efficient care, prudence, and diligence, AI shows great potential for leaving a long and positive impact on the industry.
In a short span of time, AI consultants have become mainstream in the finance sector. Most of the top fintech companies have started to leverage the benefits of artificial intelligence to come up with new solutions as well as services, and to enhance the existing ones. As a matter of fact, a large portion of companies has started to pursue a more product-based approach in order to implement artificial intelligence through selling offerings that are ai-enabled as a service. So gear yourself up, as in this article we will take a deep look into the industry of fintech and how it has seen a huge difference thanks to AI Technology.
1. How AI Has Changed the Operations of Finance Industry –
Recently, a new trend of mass adopting AI can be observed in the fintech industry, with more than half of the AI leaders constantly applying AI in all of their key areas. It can range from client acquisition to customer service, from process automation to generating new potential to gain revenue to even risk management. Most of the major companies in the fintech industry are expected to become mass adopters of AI within the next 2 years, thus solidifying our prediction that there is a huge scope for application of AI in finance services and helping the significant economies.
Most of the major fintech companies across the globe have placed more importance on the strategic importance of artificial intelligence and how it can help their business. Most fantastic as well as in Cubans expect artificial intelligence to transform into a significant business driver within the upcoming two years.
Artificial intelligence has shown a great potential to supercharge finance related services and thus transform the way that these services are traditionally delivered to the consumer. It can further be tailored to enhance the products and solutions, enhance cybersecurity, increase the rate of internal process efficiency, and also to reduce the overall rate of risks.
2. Fintech Applications Running On AI Which Have Helped Fintech Organizations –
Main fintech applications have started to utilize the benefits of AI. This includes an enhanced productivity as well as efficiency through automation, reducing the rate of bias and errors caused by psychological as well as emotional factors in human beings, and improving the overall consciousness as well as quality of management information. This is done by spotting any kind of anomaly or trends that might come up in the long run, which was rather impossible to pick up by the traditional methods of reporting. Organizations have started to put more importance into the long-term benefits of implementing AI.
Banks have started to adopt AI in fintech in order to enhance their customer service as well as engagement. Most of the major organizations have incorporated chatbots in their applications so that the online visitors can have 24/7 real-time customer services for information purposes. This has led to leveraging the presence of their customers on all major chat platforms. Other fintech institutions have rolled out full-on virtual assistants, that is quite similar to Amazon’s alexa or Apple’s Siri, in order to help their customers carry out seamless financial transactions or to find relevant products in the application.
3. Challenges of AI in Finance –
If fintech organizations are not careful enough while exercising their AI applications, there is a huge risk of facing potential downfalls. Some of these include coming up with biases while inputting data, processing it, or even while coming up with an outcome while scoring credits or creating customer profiles. There is also a huge risk related to supply chains and needs due diligence while handling them.
AI users need to have a great understanding of the data that is used to test, train, retrain, assess, upgrade, and use the AI systems. It is extremely important to handle the AI analytics that are provided by third parties with care, or while the analytical and proprietary details are being built based upon third party platforms and their data. There is also a huge concern related to the level of appropriateness of that big data that is being used while credit scoring or customer profiling.
While online banking as a modern technology has brought in a huge number of improvements in customer services, cybercrimes and hacking have also emerged as common problems. Fighting against these AI challenges needs a huge amount of resources and expertise in AI, which can only be provided by AI Certifications.
Final Word
For a huge number of AI startups, the fintech sector has proven to be a very promising field. In a number of cases, Artificial Intelligence seems to have started to disrupt the way that traditional businesses and large banks handled their operations. And in other cases, artificial intelligence has started to create a scope for advanced services for banks, such as they let them improve their product and service offerings.
A huge number of new themes have come up along with the emergence of artificial intelligence in the fintech sector. This includes, personal finance management, advisory services, fraud detection, customer services, and trading assistance as well as execution. The fintech industry is a sector that has always shown great interest to develop and execute new edges, and thus they have not backed down from putting the latest AI technology to act upon operational changes, improving customer services, enhancing the levels and efficiency of fraud detection systems, and to develop new products and services.
