Machine learning is a subset of AI and a study of algorithms that enables software to think and behave like humans without any separate programming. Didn’t get the technical definition? Let’s make you understand with a real-life example of machine learning.
“You are shopping online, and the website is showing you some recommendations of the other products based on the product you are currently viewing or have added to the cart.”
OR
“You have searched luxury watches on the search engine for once and then switched to some other website or started watching a video. Suddenly, you see the advertisements of different luxury watches on the website.”
Now, you must be thinking that how come the luxury watches ads appeared out of nowhere, or why did the website recommending products similar to the one you have added to the shopping cart or currently viewing?
Machine Learning is the answer to these and other similar questions. The technology uses various computer algorithms to read and analyze user behavior patterns that further help in making suggestions or recommendations. This potential of behaving like a human being and taking intelligent decisions is increasing the use of machine learning in today’s mobile applications. Other benefits of this technology are chatbots, image recognition and tagging, analyzing user behavior, advanced search options, optical character recognition, increased security and privacy, etc.
Curious to know more? Read the below-given information to know how machine learning is making difference to mobile applications in various fields:
Machine Learning in e-Commerce Mobile Apps
ML-based eCommerce mobile applications help with the two most important aspects of the business, i.e., customer support and self-service. With a mobile application powered by machine learning and natural learning processes, businesses can look into customers’ behavior and suggest to them different products without making a human sit on the backend and observe every customer’s activity (which is next to impossible).
Moreover, such applications also assist in communicating and interacting with customers to listen and resolve their queries with pre-programmed answers. Yes, automating customer support using chatbots is one of the greatest applications of machine learning. Personalizing product search and promotions, detecting and preventing frauds, checking analytics, and forecasting trends are some other benefits of ML provide to the eCommerce apps.
Machine Learning in Healthcare Mobile Apps
ML-enabled applications are also assisting the healthcare domain by automating medical diagnosis and ensuring precision in the results. These apps also help in offering personalized medicine, cancer detection, rendering personalized treatment, and in other areas. Machine learning chatbots is another benefit this technology gives to healthcare. With the help of such chatbots, medical facilities can build a patient support system, where they can get answers to various queries. IBM Watson is an example of an ML-based application that can access and analyze thousands of cancer cases to diagnose a patient.
Machine Learning in Fitness and Workout Mobile Apps
With increasing awareness about health and fitness among people, there has been observed a spike in the applications rendering home workout, online personal trainer, and other such services. ML, when integrated with fitness applications, can provide personalized training and offer health or diet-related suggestions by analyzing user’s data.
Machine Learning in Finance Mobile Apps
Machine Learning has the potential to change the future of the finance industry by enabling applications to predict future market trends, crashes, and bubbles. Such apps can help in reducing operational cost with process automation, enhancing user experience, and improve compliance.
Apart from the aforementioned domains, machine learning also helps in advancing data mining, security, audio and video recognition, image and object recognition, crime and security, and many other applications.
Conclusion
Machine learning is enabling digital transformation by advancing the mobile application development to minimize human efforts, reduce cost, and bring accurate outcomes. The vast use of ML-based algorithms in today’s mobile applications is sheer proof that the technology is here to stay. To make the most of machine learning and deliver the best experience to your customers, you can integrate it into your existing business applications or get a new mobile app powered with machine learning. In both cases, it is advised to reach out to a reliable and experienced machine learning app development company so that you can get the best value of your money.
Read More: How Startups are Creating Disruptions Using Artificial Intelligence?
