How is Machine Learning Effective to Revamp Mobile App Development?
Machine Learning is the science of developing intelligence in machines, specifically our computing devices. For the top mobile app development companies in Dubai, Machine Learning promises a new chapter of workplace productivity unimaginable a few years ago.
“Artificial Intelligence, deep learning, machine learning — whatever you’re doing if you don’t understand it — learn it. Because otherwise, you’re going to be a dinosaur within 3 years.”
~Mark Cuban
Today, almost every technology enthusiast is excited about the impact machine learning or ML will have on the way computers will work in the future. And this is true for Mobile app development companies in Dubai as well!
Machine learning is all set to change the way applications are developed. Here’s everything that you need to know about ML and mobile application development.
What exactly is Machine Learning?
Machine learning is exactly what the phrase signifies. It is a subset of Artificial Intelligence in which machines can automatically learn and improve their decision-making without the need for any explicit commands or instructions.
How ML will impact mobile app development?
Not only mobile app development, but ML is also going to impact almost every industry segment, from healthcare to manufacturing. Following are the areas in app development which will witness a makeover post-full-scale integration of machine learning:
#1. Enhanced Use Experience
More often than not, an app’s success rests solely on how engaging and intuitive the user experience is. Mobile app usability and consequently its popularity suffers maximum from the bad user experience. Machine learning can play a key role in bridging this gap.
Intelligently designed ML models can be a true game-changer in this regard. They can identify user patterns and make precise assessments of the things that users will and will not like in the user interface.
Furthermore, ML can be extremely useful to understand the behaviour and preference of a target audience. They can classify key areas of focus and help the designers to implement these discoveries more efficiently in the overall UX design.
#2. More Robust Data Security
Data security is now priority no1 for all applications whether desktop or mobile. Machine learning can take app data security to the next level. This is of particular importance for apps that detail user-sensitive data such as fintech and healthcare apps.
Machine learning can be used to identify app vulnerabilities more precisely during the development as well as in real-time when the app is live.
The app data interaction can be fed into ML models to identify user behaviour patterns which can be classified into different categories. This will simplify the task of identifying data interactions that are fishy or compromise the app’s security.
Over time, as more volume of data is made available to the ML model, it will learn to identify fraudulent behaviour and prevent the app data from attack or breach.
#3. Continuous Optimization
Apps are never static, they keep evolving depending on OS updates and user behaviour. While OS updates are easy to manage, the same is not the case with user behaviour. For a long time, app owners have struggled to understand user sentiment. This allows new players to break into their user base, thereby forcing them to compromise on business growth and innovation.
Thankfully, with Machine Learning app owners will be able to better evaluate user behaviour and sustain their growth in the long term. Machine Learning models learn and re-learn user behaviour until they can understand them completely. This will allow developers to identify feature updates that are most likely to drive app downloads, decrease drop-off, and improve retention rates.
#4. Leverage Predictive Maintenance
How great it would be if mobile app developers could fix issues even before they occur?
Well! They can do so now using machine learning. By analyzing real-time information against historical records, developers can better predict potential breakdowns and downtimes. They can use the insights to improve app responsiveness, lower app maintenance costs, and fix impending issues that may cause the app to crash in the future.
#5. Transform Application Testing
Last but not least, Machine Learning can be a great tool to automate app testing. A good amount of time and resources go into app testing. With ML by their side, mobile app development companies in Dubai can design intelligent testing platforms that are easy to use and reduce the time to market.
Things To Keep In Mind
The efficiency of any ML model is directly related to the quality of input data. Whether it’s about predicting user behaviour or automating application testing, you won’t achieve the desired result if your data is inconsistent and reliable.
Hence, always ensure that the quality of your training data is of the highest standard. It will boost the efficiency and accuracy of the teams’ decision-making significantly.
Pre-Built Vs Custom ML Models
You will have train data on an ML model. These models can be pre-build or custom-designed depending upon your needs. However, if you are still new to machine learning and Data Science, it is always wise to start with pre-built models. This way you will get a fair understanding of the underlying logic, the expected errors, and the methods to reduce errors.
Once you are experienced in pre-build models you can apply your learnings and expertise to building your custom models from scratch.
The Key Takeaway
Machine learning is without any doubt the next big thing in the technology world. It is disruptive and will reshape the way not just machines work but also the way we work. For mobile app development companies in Dubai and other parts of the world, Machine learning is an opportunity to tap into a new world of innovation.
By using ML mobile app development companies can completely revolutionize the product development cycle ushering in new productivity, greater transparency, and minimize risks associated with the traditional development methodology.
The future of development is being reshaped for the better. By embracing machine learning, mobile app development is set to become twice more effective, twice more reliable, and twice more business-friendly.