Must Known Factors about Machine Learning that Startup Should Consider

Posted by fluper on December 19th, 2018

Must Known Factors about Machine Learning that Startup Should Consider

In present times, machine learning is the latest technology that is making mobile platform more user-friendly as well as aids in building consistent omnichannel experiences. Needless to say, technological improvements have created new chances for vendors to attract customers. Machine learning is going to change every industry; either it is mobile app development, healthcare sector, e-commerce etc.

Let’s check out the most lucrative use cases for machine learning in mobile application -

Personalized experience

Through ML, we can take benefit from the continual learning process as there are various algorithms that can analyze various sources of information from social media activity to credit ratings. Besides this, machine learning also helps you to classify users according to interests as well as help you to decide app’s look. In fact, we can use machine learning for –

a. Who are your customers?

b. What they want and what they can afford?

c. What hobbies, preferences they have?

Advanced Search

Through machine learning solutions, you can optimize search in your app and deliver more contextual results. These algorithms help to prioritize the results that matter to a person. In present times, modern applications are the best thing through which you can collect data about your customers such as histories as well as typical actions. Not only that, you can upgrade the application with voice search and spelling corrections.

Predicted User Behavior

Machine learning is the only thing that helps marketers to better understand users’ preferences as well as behavioral patterns by inspecting a different kind of data such as age, gender, location, search requests etc. ML also aids in increasing customer engagement and the time spent in your application. This statistics is displaying the total number of mergers and acquisitions in the machine learning industry.

Relevant Ads

The most difficult part of advertising is showing the accurate ads to the right audience. In present times, advertising is becoming more personalized and machine learning technology is the only thing that is helping companies to target display advertisements more accurately. Machine learning also helps you to predict how customers will react to promotion so that you can show them specific ads. This not only saves time & money but also improve your brand’s reputation.

Improved Security

Apart from being an effective marketing tool, machine learning is also responsible for secure app authentication. There are several things such as video, audio, and voice recognition that have made it possible for customers to authenticate using biometric data such as fingerprint or face. There are various applications like Zoom Login and BioID that are using ML to allow customers to login into other websites with ultra-secure way.

Deep User Engagement

Machine learning tools not only offers you solid customer support but also provides customers an incentive to use your application on daily basis. In fact, Amazon and Facebook are also using machine learning technology to engage users with request handling. ML systems not only help you to analyze data but also help you to make decisions in real time. It is often seen that various users get bothered when they have to make phone calls, write long emails until somebody responds. To resolve this problem, there are various Android app development companies that are using virtual assistants known as AI Chatbots.

Providing entertainment

You will be surprised to know that machine learning is also used in the entertainment industry. One of the best examples of this is Project Murphy. Here, customers can ask anything and the bot will deliver instant response with a picture that represents the question. In this era of digital technology, app developers are completely focused on machine learning and augmented reality to let customers to revamp their pictures with amazing filters.

Valuable Features

There is no doubt in saying that machine learning helps you to enhance your application with a built-in translator as this technology supports real-time speech translation. ML has solved the problems of international customers as now they can communicate within your app without any third-party online translators. The best example of a machine learning application is Realtor.com. This real estate listing service uses Vision API that allows people to take pictures of a For Sale Sign and thus you can get immediate information.

One Step to Success

Machine learning technology is the latest one that can empower mobile app with cutting-edge search mechanisms, personalized engine, fraud protection & secure authentication.

Conclusion

At any point in time, if you feel like you are standing out from your competitors then boost your business with an application powered by machine learning. If you need machine learning application for your business, get in touch with Fluper where apps are designed by using cutting-edge technologies.