How AI & ML Have Made Significant Changes in Mobile App Development?

• By Divya
• 01-12-2021
• Technology

From the time we started to use mobile phone applications in all walks of life, advanced technologies indeed continued to knock on our doors from time to time. And now, within a few years only, mobile apps have become our closest companions.

Furthermore, the connected reality brought by Artificial Intelligence (AI) and Machine Learning (ML) technology made considerable value additions to mobile apps. As a result, new technologies continued to turn mobile apps smarter. This article will explain the significant impact of AI and ML technologies on mobile app development.

The Impact of Artificial Intelligence and Machine Learning

Mobile app developers made huge gains in today's market by the revolutionary accessibility to data promised by artificial intelligence (AI) and machine learning (ML) technology. The most important promise of AI and ML technology is customizing the (UX) user experience based on user inputs and user feedback. Below, I've listed some of the ways Machine Learning and Artificial intelligence have impacted mobile app development.

Reduced Latency
Indeed, mobile app developers do everything possible to keep the impact of network latency on their mobile apps worldwide. On-device machine learning and artificial intelligence by leveraging data management and smart filtering can keep latency in check resulting in faster loading time. The advanced mobile phone chips offered by Apple testify to the increasing importance of reduced latency for delivering a superb user experience with many app functionalities.

Less Dependence on Internet Connection
Active data transfer involving cloud networks constantly requires a smooth internet connection, apart from the latency issues. Also, please note that On-device artificial intelligence and machine learning can play an impressive role by checking the dependence on the network connection. This is especially helpful in areas and times when connectivity is an issue.

Because of on-device AI (artificial intelligence), ML (machine learning) and neural networks working on smartphones, mobile app developers can now deploy any advanced technology on several devices at any point in time without internet connectivity. Hence, delivering a superior user experience can democratize Machine Learning (ML) technology.

Smartphone Cameras Are Getting Better
One of the biggest areas where android app development is making great strides in AI and ML is with the smartphone camera. These advanced cameras can now detect the subject within the frame and adjust the settings accordingly for the best image possible in this digital era. In addition, now AI (Artificial Intelligence) and ML (Machine Learning) can automatically identify and improve facial features for superb portrait images. Furthermore, more innovative features can inform businesses about where and how their products are used when photos are posted to social media platforms.

Optimized Security and Privacy
On-device artificial intelligence and machine learning by leveraging edge computing principles can also improve the app's security and privacy to a great extent. Since providing privacy and protection to the app user's data is a crucial requirement in the present context, the technology has a far-reaching impact on mobile app developers.

On-device machine learning and artificial intelligence ensures optimum decentralization of data and computing tasks in the same manner Blockchain works. Through data-centric operations at the edge of a network or in the device, it becomes difficult for hackers to target any particular device in a connected network and carry out a DDoS attack (Distributed Denial of Service).

Reduced Cost
In the context of mobile app development, artificial intelligence and machine learning are likely to help mobile app developers avoid their dependence on third-party service providers for integrating required solutions. As a result, businesses implementing new technologies need to rely less on internet-based apps or cloud services, leading to great cost savings.

It has been found that the GPUs (Graphics processing units) and the AI-based processing offered by the cloud platforms consume a considerable cost for the AI App development companies and businesses. On the other hand, the neural processing power, machine learning, and artificial intelligence operating locally within mobile phones can reduce the cost to a great extent.

Conclusion
There is no denying that both AI (Artificial Intelligence) and ML (Machine Learning) have empowered mobile application developments. ML and AI have paved the way for developing mobile applications that are extremely useful, advanced, efficient, quick, and effective. So, if you are thinking of developing your own mobile application, in that case, it is always a good idea to use AI and ML technologies to stand out from your competitors and deliver improved performance.