The proposition of improvement of the performance of the finance department by using Artificial intelligence in the chosen organization

The thesis uses JP Morgan as an example to look at how artificial intelligence (AI) and management information systems (MIS) can help finance departments do their jobs better. In the beginning, it says that AI could change the way finances work by making decisions, managing risks, being efficient, and being competitive better. However, there are still some things that aren't known about how AI can be used in financial management. It then talks about MIS's history, how it has changed since the 1950s, how important it is to organizational strategy and performance, and the problems that come up when it's tried to be used, such as cultural resistance and integrating data. It also looks at AI technology, including what AI is, the different types (like machine learning and natural language processing), how they can be used in business, and the pros and cons of putting them into practice. The next section looks at the financial services industry, the tasks that finance departments have to do, such as compliance, risk management, and reporting, and how AI could be used to automate tasks and learn more from data. After that, it finds places where AI can be used in fields like healthcare, banking, marketing, travel, and making business decisions. It shows how AI was used to automate legal contract reviews at JP Morgan, which saved 360,000 person-hours a year. This shows how AI can make things more efficient, compliant, and competitive. In conclusion, it says that AI and MIS can change financial activities by making them more automated, better at forecasting, more efficient, and able to make decisions based on data. These technologies can give financial institutions strategic advantages, so they need to use them. Putting AI and MIS together is necessary for managing risks, following rules, and staying competitive.