It is now widely acknowledged that machine learning plays an essential role in a variety of financial services and applications. These services and applications include asset management, risk evaluation, computation, and even the acceptance of loans. Machine learning is a subfield of data science that gives computers the ability to teach themselves new things and enhance themselves through experience without being explicitly programd. The field of artificial intelligence known as machine learning derives its predictive abilities from the utilization of statistical models. In the field of finance, machine learning algorithms are utilized to the end of identifying fraudulent activity, automating trading activities, and providing consumers with financial guidance services. The outcomes of machine learning can be improved without being specifically programd because machine learning can rapidly analyze millions of datasets. Fraud identification, risk management, process automation, data analytics, customer assistance, and computational pricing are just some of the implementations of machine learning that see the most widespread use in the financial industry. My instructor in strategy cautioned me against putting all of my time and energy into a single endeavor and using all of my available resources. If this region continues to deteriorate, you will most likely lose everything. He discussed it from a commercial point of view and taught me “how to build missing bricks” and “use levels” at such an impressionable age in my life. My classes in economics instructed me on how to make the most of my resources and provided me with an understanding of inflation. (the supply and demand game). In a nutshell, you should never put all of your eggs in one basket and should always have a fallback, another source, or additional revenue. (Plan B for money). It was my financial professor’s recommendation that we not place all of our chickens in one container. Make your own financial decision, whether it be for your personal or professional life, in order to minimize risk and maximize profit. Everything that has been stated here is significant and needs to be put into action; however, is it even feasible to do so in this century without the assistance of technology? You need to have a level of intelligence that allows you to know the solution. The overall quality of the customer experience can be enhanced by lowering operational expenses (which can be accomplished through process automation), raising earnings, and boosting productivity.