Nowadays, many companies are inclined to carry out advanced machine learning solutions along with custom AI solutions to stand tall in the competitive market. Analytics is essential to improve the bottom lines so that you can increase the efficiency of your business. With machine learning and AI, it is effortless to get some comprehensive strategies for analytics that will help you to run your business successfully. With a view to that, you must include the machine learning strategies in the data structure. In this article, we will talk about ten major uses of AI and machine learning in the fintech industry. So keep on reading. Top 10 Use-Cases of AI and Machine Learning Here are the main uses of Artificial Intelligence and Machine Learning in Fintech industries— Data security For the digital transformation industry , malware comes like a big problem that is directly related to data security. According to the Kaspersky Lab report in 2017, it is said that every day they observed 360,000 malware files newly. However, Deep Instinct, an intelligent institutional firm, has reported that each of the new malware has a similar code as the earlier versions. The rate of changing files for different iterations is from 2 to 10%. The learning models can detect malware accurately. Also, there are some machine learning development companies that will help to access the information stored in clouds, and thus, they are able to report anomalies to indicate the breaches. Personal security Besides data security, personal security is also paramount, so it will be better to take help from artificial intelligence services to increase your personal security. For instance, if you are taking a flight, you will have to wait for security screening. Similarly, in a public event, you may have noticed the long lines for security screening. With advanced machine learning techniques, it will be easier to reduce false alarms. Check out more use cases of Ai and Machine Learning .