Smartphones and mobile applications have brought a paradigm shift in our lives in the last few years. Now, the technology has been upgrading itself with new trends on a scale. Machine learning (ML) is bringing a new era in mobile app development as they are rapidly advancing towards smart mobile-centric solutions.
Machine learning embedded mobile applications do not require explicit programming to function. Instead, they collect data to draw conclusions and automatically learn and improve from past experiences.
Top mobile apps development companies are investing heavily in machine learning to take advantage of it as the promising segment of AI illustrates significant profits later down the line. As per Statista, AI funding for startups worldwide amounts to 38 billion USD. The global machine learning market, encompassing the majority of AI software, is anticipated to clock in from 22.6 billion USD to 126 billion by 2025.
Nowadays, smartphones are equipped with AI-powered voice assistants and most users are leveraging the technology to bring ease to their lives. For instance, YouTube displays the music you want to listen to, and Netflix showcases the series/movies based on your past interests. Similarly, Uber shows you the best estimated time and fare calculations. This is all because developers across the world are implementing AI and ML to build futuristic solutions. Let’s now understand how developers use ML in mobile app development and how it is disrupting the overall process.
How Developers Use ML in Mobile App Development?
Mobile app developers are using machine learning and artificial intelligence to develop hyper-realistic apps that generate a personalized experience for each user. The apps embedded with continuous learning algorithms understand and learn and re-learn user behavior to offer customized services. The best applications are based on the below usages:
- Predictive analytics is aided by machine learning as it enables an application to process huge amounts of data and generate quantitative predictions tailored to the user’s needs.
- Mobile developers can train ML modules to build proactive security measures that filter out spam and insecure sites or emails.
- Machine learning empowers optical character recognition (OCR) and Natural Language Processing to read and interpret language that paves new application development in a variety of fields.
Here are some of the best platforms that developers use for machine learning app development.
How Machine Learning is Disrupting the Mobile App Development?
There is no doubt that machine learning and its subsequent applications are disrupting mobile app development. From making the app development process agile to boosting its efficiency, machine learning provides ample benefits. Let’s now shine a light on how this technology is making it happen.
Personalization
Integrating machine learning and artificial intelligence into your mobile application can turn it amazingly. ML algorithms analyze several sources of information like social media activities, internet research, and credit card ratings, and provide recommendations to every user device. Personalization helps you understand:
- Your target customers
- What are their interests?
- What they can afford?
- Search intent keywords for different products
Based on this information, you can categorize customer behavior and use it for target marketing. Big brands are using machine learning app development by offering customers more personalized, relevant, and enticing content based on their interests, which in turn benefits them to a greater extent.
Advanced search
Machine learning-backed applications improve product and service search results. The algorithm functions based on search queries, screen scrolls, clicks, and other factors to display the most relevant results to users. Additionally, it also analyzes users’ previous behaviors, history, and other typical actions. This data can be used along with search requests to rank products and services. Voice search and gesture-enabled search can be incorporated for a better-performing user experience.
Predicting user behavior
Predicting user preferences and behavior is among the biggest perks of machine learning app development. Such mobile applications inspect different kinds of data including user details like age, gender, location, app usage frequency, search histories, and more to improve marketing efforts. For instance, Amazon and Flipkart use this principal mechanism to create customized suggestions for each individual user.
More relevant advertisements
Most companies nowadays are integrating machine learning in mobile apps to deliver results that cater to each user’s preferences. With targeted data management platforms for advertising, companies are now avoiding flourishing users with products and services they have no interest in. Instead, with personalized user behavior, they are concentrating on generating ads that meet users’ unique requirements. It helps them save money on inappropriate advertising and improves the brand recognition of the organization.
Enhanced security
Machine learning allows streamlining and securing app authentication. Enhanced features like image recognition or audio recognition allow users to set up their biometric data for better security. Additionally, machine learning applications can detect and ban suspicious activities before entering your device.
Wireframes and logic development
Machine learning app development proves best in creating wireframes by utilizing big data. Developers worldwide leverage machine learning to run technical feasibility tests with high speed and accuracy. Adding on, it is said machine learning helps automate logic development. Mostly, developers and testers are unable to cover various possibilities and outcomes that require user input until the last stage of development. This is where machine learning comes to the rescue by implementing possible scenarios and enhancing coding by recognizing patterns.
Wrapping Up!
Hope you liked the information shared above. In the end, we can say that on a global scale, Machine learning in mobile app development is narrowing the gap between user activity and service providers. Moreover, it maintains engagement and is making the platform more user-friendly by offering an omnichannel user experience. Again, it is evident to say that in the near future, we will be seeing enhanced versions of its features.
In case you are also planning to implement machine learning in your apps and take advantage of this emerging technology, you can consult top app development companies in India and other regions. The experts can guide you through the entire process and help you take your app to the next level!
