1. Personalised experience
Machine learning systems allow you to customize the user experience of your application.
Through machine learning, your solution gains the capability of approaching users individually, and it can meet their expectations better. Customization lets you match the most relevant content to your users based on their individual interests and classify users based on their preferences and collect user information.
This is how you improve user experience!
2. Advanced search
Machine learning isn’t just a system that provides clever marketing. It also offers advanced search performance with cognitive technology.
While various analytical apps collect more and more data, machine learning lends a helping hand when a user is searching for specific information.
This system allows you to optimize search in your application, so it can deliver better and more contextual results, and make searching faster, more intuitive, and less troublesome for your customers.
Machine learning algorithms pick up and study all the queries your customers type into the search box and then they prioritize answers according to what was most useful to a specific user.
One of the best examples here is Reddit, which uses machine learning systems to improve search performance for hundreds of millions of its community members.
3. Better security
Machine learning can also help you determine who should have access to your solutions. This will allow you to strengthen the security of your app's authentication. Now, your customers can use any kind of biometric data, such as their face, voice, or fingertips to make their tools safe.
The application of machine learning to security aspects can be seen in today’s iPhones. For instance, the iPhone X offers face-authentication as one of the ways in which you can unlock your device. This is an efficient way to secure the system from being unlocked by someone other than you. And it works really well!
Improving security with machine learning is a smart decision for any kind of mobile app.
But it doesn’t end here! Machine learning has a wide range of uses. It can be employed as a recommendation system for related products in apps. This is widely used, for instance by Netflix and Spotify, to provide you with customized entertainment.
It also works as an engine for Instagram’s news feed discovery and Airbnb's forecasting to predict when you are going to book in the future and what kind of property you would like.
Machine Learning Systems can enhance your app with a clever personalization engine and cutting-edge search mechanisms, thus boosting your sales. To get a bigger picture of pros and cons of Machine Learning read our blog article.
As you can see, Machine Learning can be helpful in any kind of application. The best part is that this market is growing every year!
So why not make a decision and apply it to your business?