Monday, April 27, 2020

How AI can impact Mobile App Development and User Experience


As we can say changing is the Next step of development. Over the past decade, Mobile applications and user experienced have completely changed. Earlier we used a simple mobile application and now we all are using smartphones for multi-purpose tasks and giving us a much better user experience. There are so many technologies in the market that slowly and steadily changing everything and AI is one of these technologies.  

In the world of digital technology, AI has gained more popularity. Artificial Intelligence is used in almost every sector and improves the user experience and helps in enhancing the business. It’s all about thinking like humans and to assist in practical for commercial purposes. Digital Assistants like Google Home, Apple Siri and Alexa are the biggest examples of how AI can make smart digital intractions and user experience. 

Artificial Intelligence is the computer technology to make the machine as some aspect of human abilities such as capable of thinking, learning, objects, and speech recognization like we do because AI can adopt human reasoning and learn from the previous user experience and interactions.

Let us now see how AI can impact Mobile App Development and user Experience 

Self Learning AI Apps
Nowadays mobile apps become more complicated and significant with smart features and content.AI-powered tools work on the concept of learning by doing and efforts to correct errors.

AI technology plays a crucial role in the development of these self-learning applications. The tool uses various methods to solve a problem, the most satisfactory results and the corresponding methods are caught as a reference by the software for further usage. Thus the AI-driven tool functions in the trial and error and then perfect itself after some period of time.

Personalized user Experience
Now all digital applications depend on interface customization to keep engaged of the interested users. Mobile is already marketized as personalized for each user. AI record the user activity and then change their app or recommends to change according to user usage for a better experience. The users now expect applications to deliver a unique experience, either in terms of the user interface, content, usability, and useful features.   
AI uses algorithms based on user preferences and user interactions to recommend personalized products and content.  

Improving Application UX
The most significant things are enhancing audience engagement and AI helps the users to engage by analyzing their behaviors and purchasing pattern. It analyzed the user’s input data and behavior patterns to draw some insights so that it can be utilized to deliver higher customer engagement and user experience. Artificial Intelligence can also be used in relevant contexts by the chatbot to solve the specific user’s problems. Companies incorporated chatbots to provide better customer service to its users.

Boost automation while keeping human Inputs 
Artificial Intelligence helps people to make better decisions. AI minimizes the role of design factors and human rights in the analysis. The AI-powered gadgets and tools minimize the tasks that can be automated and performed without the need for human participation and provide the best result that can benefit humanity.

Context-Driven User Experience 
Mobile can sense your location but it doesn’t change the user experience to a large extent but Artificial Intelligence provides a more context-driven user experience. AI-Based algorithms help to recognize the user’s location as well as several key aspects can include individual user context better and provide recommendations cantered on the user. 
Only because of AI algorithms, Cab drivers have suggested the best ways to reach the location.

Mobile can connect better with users
AI analyzes large amounts of Data and Mobile apps can connect users on a deeper level. Mobile App store user information such as Behaviour, shopping pattern, and give users more control over themselves. Apple’s Siri and Alexa are already in the process of doing so.

Logical Reasoning For Automation 
Many Applications help users to solve real-life problems by insightful analyses and logical thinking. By implementing AI the logical reasoning on an app can integrate automation. If an app is designed to understand the issue and ways to solve them by logic then human involvement becomes virtually unnecessary.  
Incorporating Automation to perform several mobile tasks help developers deliver a smoother and a comfortable user experience. 

Intelligent and user-specific recommendations 
Once the app is launched, a lot of mobile apps fail to generate traffic and engagement on their app due to not being able to deliver a customized experience to the users. That’s why a lot of e-commerce stores consider user preferences and provide specific-recommendation get to benefit from increased sales and customer traffic.
Similarly, if you have a content-focused app, you can your send users specific recommendations and type of product according to their preferences. whereas an entertainment apps can also support media stories based on user preference as well.  

Understanding user behavior patterns with AI-powered apps
The user’s behavior and the patterns can provide many informations and insights about the app’s users and their experience. Using these insights and ideas, developers improve the customer experience by making some changes in the app. 

Conclusion
Nowadays AI is being considered as one of the most important technologies in the mobile App industries. This can bring several remarkable features into the apps and AI benefits in this industry are not negligible. In the coming days, AI will take mobile app development at a high level and provide better user experience also and help in enhancing the business.


Presently there is a high demand for Artificial Intelligence in many companies and If you want to do a course in Artificial Intelligence the join “Nearlearn”. Nearlearn is the best Artificial Intelligence training institute in Bangalore and they also provide Machine Learning Course in Bangalore with both classroom training and online training. After completion, of course, they provide placement support to their students.

For More Information visit site: www.nearlearn.com


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