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How Machine Learning Is Reshaping the Future of Mobile App Development?

Published: Oct 11, 2021  |   | 

Machine Learning in Mobile App Development
If someone asks what is common between Tinder, Netflix, and Google Maps? Our answer would be- Machine Learning (ML) drives these apps. As an application of AI (Artificial Intelligence), ML empowers applications to learn, explore, and visualize outcomes without human intervention. Machine learning in mobile apps has a lot of scope, and irrespective of the platforms like Android or iOS, this technology assists developers to build advanced apps. Today, ML-based apps have started showing their impact in the way we work and live. Mobile app development companies integrate technological advancements of machine learning to come up with user-friendly solutions. Such mobile apps are beneficial for companies that strive to maintain a subtle balance between the customer’s ever-changing needs and intensifying competition. This is one of the key reasons why companies are investing heavily in ML. As per MRFR Analysis, the global machine learning market is expected to cross $20 billion in 2024 with a CAGR of over 44% between 2017 and 2024. Let’s understand the role of machine learning in mobile app development in this article. Global Machine Learning Market

Image Source – Forbes

Impact of Machine Learning in Mobile Application Development

Machine Learning technology offers a complete solution based on AI mechanisms. When it comes to having a universal approach for various problems of modern enterprises, ML works wonders. Its algorithms are designed to learn continuously to provide end-users. The ML technology enables users to find the same model that accurately applies to mobile applications. These days, almost every enterprise-level app is ready for ML mechanism. However, it does not mean that ML-based apps can give a humanlike personalized approach. Actual personalization and app-powered personalization are different and it is not possible for mobile apps to meet the customer’s expectations properly without having important features. AI and ML can assist mobile app development companies to narrow this gap by understanding the user behavior and maintaining their engagement effectively. Here are the ways through which machine learning in mobile app development can provide the ideal user experience across various channels and devices.

Major Benefits of ML in Mobile App Development

  • Efficient Search Experience
In this data-driven world, it is necessary for apps to evolve at a rapid pace. With machine learning, mobile apps can provide effective search functionality and give a better user experience. These days, people prefer smartphones to access the Internet for various queries and expect more accurate results quickly. Machine learning apps can meet this objective efficiently and seamlessly.
  • Increased Interaction
Active interaction and real-time resolution of the customer’s issues are crucial for engaging and retaining more people toward your app and business. Machine learning analysis and categorization of available information make it possible to serve these objectives. Enterprises can offer the most relevant and useful content to their customers through such apps. Many mobile app development companies integrate AI and ML-powered chatbots into the app for this reason.
  • Improved Personalized Experience
  Digital units can continue the learning process with the help of machine learning. All the ML-powered algorithms can analyze the available information from social media activities and other sources to provide a personalized experience to customers. Whenever a customer starts using the app, its algorithm collects the data related to the customer’s behavior and usage. Based on this data, the app can show the most relevant information in a personalized way.
  • Auto-recognition and Other Features
  The ML technology is based on neural networks. With the help of neural networks, apps can identify different faces and words to initiate various processes. It can further enhance the customer experience while assisting users to save time and effort. Also Read- Top Reasons Why Your Startup Should Invest in Mobile App Development
  • Advanced Data Mining
  Data is a growth engine for future-ready enterprises. Big data analytics is advancing speedily across multiple dimensions and if the enterprise wants to make the most of it, it is necessary to put extensive effort into analyzing and categorizing a huge amount of raw data. Machine learning can do this effectively for modern businesses. It is designed to process multiple profiles simultaneously thereby helping enterprises to create well-planned strategies. Irrespective of the industry sector, machine learning offers advanced data mining.
  • Balanced In-app Search
  The ML concept can assist companies to provide balanced in-app searches. It also controls delivery time and optimizes search to improve the outcome. Boring or time-consuming apps get uninstalled soon from the user’s smartphone, but machine learning can prevent this to happen with your app. It is possible to deliver your customers the best possible or the most suitable results based on the customers’ behavior and interests.
  • More Security
  When it comes to providing a secure and seamless system to customers, it is necessary to ensure that the customer’s identification and authentication remain quick and accurate. Machine learning in mobile apps can do it with ease. E-commerce applications can leverage the benefit of this characteristic and offer more security to customers or app users.
  • Consumer Behavior Assessment
  Facebook uses various tools to predict user behavior to target relevant audiences for advertisements. Marketers and app development companies can fetch the data related to consumer preferences and interests with the help of ML. Be it gender-based or geography-based, usage-based or search-based, every activity of the customer is tracked and analyzed for providing a more personalized user experience. It significantly improves customer engagement. Mobile app developers can also explore the immense scope of machine learning to bring radical changes in the customized business app. Some of the excellent capabilities of machine learning in mobile apps including predictive analytics can make the apps more ‘intelligent’ in analyzing market trends and enabling users to make informed decisions based on accurate predictions. Mobile app development companies can also use machine learning technology to prevent spammers and make apps more secure from threats.

Concluding Lines

In a nutshell, machine learning technology empowers corporate websites and mobile apps to attract more people by providing an unparalleled customer experience. Be it an Android app development or iOS app development, machine learning technology offers sophisticated research methods while making apps more secure and user-friendly. We can certainly expect that more business apps will come with ML functionality in the future. As a leading custom software development company, Semaphore Software offers a range of services including mobile app development, eCommerce, CMS, and Web development. Our teams of expert and experienced developers can assist you to leverage the benefits of AI & ML and other emerging technologies. Simply send us an email at info@semaphore-software.com and we will get back to you soon.