From television to internet to artificial intelligence; Technology has continuously evolved in the past 20 years. With the advent of disruptive technologies like blockchain, artificial intelligence and IoT or Internet of Things, the way we conduct businesses has also unfolded to new levels. Innovative restrictions are now only limited to the imagination. Companies in the supply chain, manufacturing, finance, digital transformation (both product and services) and sustainability energy sector, are the ones who have benefited amazingly well with these technological transactions.<\/p>\n
But since the financial sector is one sector which is more frequently compounded by fraudsters; it becomes more relevant to dissect the progress of AI in this particular area. Here\u2019s how Artificial Intelligence has transformed the financial sector in the past decade- <\/em><\/p>\n Advancements in Risk Assessment- <\/strong>The very basis of Artificial Intelligence is learning from past experience or data (thanks to the machine learning algorithm). This is the way, AI has been able to reform around 70% of risk analytics of financial sector. How<\/em>? Artificial Intelligence has applied automation to the area which requires clear thinking, and analytical intelligence.<\/p>\n Another great bend in AI-based tech advancements is accomplishing customer satisfaction. The smart combination of Machine learning along with AI through chatbot has proved itself as an unmatched resource when it comes to saving time. Although it\u2019s true that bots cannot do negotiations, but they can indeed fix meetings and schedule events. So, that\u2019s progress.<\/p>\n \u201cWe\u2019re witnessing the creative destruction of financial services, rearranging itself around the consumer. Who does this in the most relevant, exciting way using data and digital, wins!\u201d<\/em>\u2013 Arvind Sankaran<\/p>\n More progressive risk assessments– AI through its inherited ability from Machine learning is now able to scan past data. By scanning past data, AI can now make recommendations on loans, credit offerings and run a small verification check.<\/p>\n Conducting fraud detection and Management- <\/strong>The main intention of a financial institution is to reduce the probability of risks conditions surrounding the business. A loan is basically someone else\u2019s money in your account, which is why banks, take frauds around loans very seriously.<\/p>\n Artificial Intelligence comes on top of fraud identification and security. How<\/em>? AI uses the data of past spending behaviours collected through studying\/scanning\/mapping transactions to point out one single odd behaviour. This can be anything from directing a large number of funds or something as common as a credit card fraud (non-payment of dues).<\/p>\n Movement into Financial Advisory-<\/strong> AI and Machine Learning into advisory, is still under investors scrutiny and at a prototype stage, but according to PWC, we can expect Robo-advisors earlier than predicted. The pressure on financial institutions is huge to reduce the commission rate, this is where AI comes into picturer–i.e–working for one single down payment. In short, AI will be looked upon as a decision-making tool in the financial sector which will further increase work efficiency and foster spontaneity.<\/p>\n To have a more detailed understanding, here are a few more applications of AI in the financial sector- <\/strong><\/p>\n