Nowadays, mobile phones are not just hand-held devices, they are doing a lot more than what it has been mere expected from them. With the evolution of Artificial Intelligence, it will impact the interactions of smart devices as well as mobile apps.
AI has been working on different levels, aspects, and algorithms, leading to the creation of new as well as unique applications and helps the user interaction with different apps.
Definitely a great time for mobile app development companies to create intuitive mobile apps that are user-friendly, adaptive and conversive in this ever-evolving technology times.
Without further ado, let’s begin to explore the ways in which AI is revolutionizing the Mobile App Development Space:
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Enhanced Personalization:
AI becoming mainstream in the mobile app development industry. Integrating AI in mobile apps will increase personalization. Mobile apps have been designed to become accustomed to and adjust on user’s behaviour and preferences.
This will create a rich and contextual experience for mobile app users. The app should be highly user-friendly and contain some attractive features to attract the user in true term. For this, I will recommend that you must hire machine learning application developer.
It has been stated that most of the mobile apps fail due to the lack of personalization. But with AI integrating apps, based on observed behaviours, you can create fresh and engaging content to attract mobile users.
This is one of the major reasons for mobile app development companies, to develop AI integrated mobile apps.
Related Blogs: WINNING WITH AI AND MACHINE LEARNING FRAMEWORKS
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Enhanced Reasoning:
Most of the mobile app development companies, design apps to have human-like abilities. The integration of AI with mobile apps have made it possible for apps to make personalized decisions.
This has been made possible due to the predictive analysis capability, computational ability and pattern-matching algorithms of Artificial Intelligence that have made mobile apps possess an excellent, personal and customized experience.
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Better User-Engagement:
Mobile app user-engagement has been one of the most important principles, when a mobile developer wishes to design and develop a mobile app.
The reason why some of the mobile apps engage well with the mobile app user audience is due to better user engagement aimed at the user’s pattern and behaviour.
Most of the mobile app development companies collect, analyze and use lots of information , and demographic data to optimally engage mobile app audience.
Thus, integrating AI into mobile apps will result in creating apps that can fit itself to suit user’s demands.
Related Blogs: The Role Of Machine Learning In Predictive Analytics And Decision-Making
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Voice-based Search: Emergence of Conversational Chatbots:
Voice recognition, speech detect and deep learning , chatbot technology concept. 3d rendering of man speak , application on mobile phone screen.Soon, there will be a world, in which with minimal human efforts you can get things done. The emergence of voice search have made this possible. With voice-searched enabled apps and chatbots, you will just have to speak out what you are actually looking for.
A major implementation of voice-search could be seen through big tech companies such as Amazon’s Alexa and with Alexa, you will just have to command for the tasks and Alexa would do it for you.
The revolution of AI have given birth to conversational chatbots and voice-based search assistants helping mobile app development companies to develop smarter, responsive, and more useful chatbots and voice-enabled search experiences.
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Influx of Machine Learning and AI:
Machine learning has been stated as a subset of AI, with Machine learning algorithms and AI, mobile app development companies can take things to another level.
Machine learning and AI-enabled mobile apps have been disrupting the healthcare industry with healthcare apps that can not only monitor the health of the patient but also enables them to alert the medications necessary on the particular date.
There are major applications of Machine learning and AI influx from which mobile app development companies can take reference from for their next mobile application. Some of the popular instances are:
- Self-driving car of google
- Product recommendation on Amazon
- Knowing what your customer is going to say on social media
- Fraud detection
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Opportunity Avenues for Mobile App Developers:
The evolution of AI have been quite successful for different mobile apps when it comes to user engagement and business growth. The singularity of AI algorithm is not enough to engage users based on their search preferences and behaviour.
AI has been assisting mobile app development companies in engaging users on the basis of different user behaviours as well as response patterns.
AI is also boosting user interaction as well as user engagement by means of fitting itself according to user’s requirements.
As the need for AI continues to rise, mobile app developers with a comprehensive and continuous understanding of automated learning will be in higher demand for their knowledge and creativity.
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Business Transformation:
Do you think the evolution of AI can transform mobile app development business industry? Yes, you heard it right. AI has the potential to transform mobile app development business.
Businesses nowadays, rely more on data and information. Integrating mobile apps with AI can help in transforming your business model through data collection and analysis.
The More, The Merrier, going by this norm, businesses with a great amount of information can sort, analyze and store data for easy access.
With these apps, you make better targeted and informed decisions about your business. In fact, you know the right time to push out recommendations about your products and services.
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AI helps in leveraging Content Quality:
Currently, AI is dominating the mobile app development market, by realming on the data stack across different platforms including data management platforms, data warehouses, data lakes and other repositories of structured and unstructured data.
The data collated can be helpful in designing content, enhance business intelligence and provides preciseness. This will make the websites even more search friendly as search engines are getting restrictive wit their guidelines and search intent queries.
This will safeguard businesses with long-term content marketing strategies through elements like unique style content, tone of writing, USP, which is crucial for every business and for that AI helps to create ads, articles, blogs, summaries and some promotional material using the data being fed on it.
As long as the quality of the data feed is good, AI can create campaigns quickly and easily than humans.
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Predictive Replies:
AI has also made a mark in the predictive reply space. A predictive reply is the communication between a mobile user and the device where AI understands the message through predictive analysis and user behavioral patterns in order to respond precisely.
It extracts the information from the data sets in order to determine the pattern and predict the outcome.
A great example to amplify the above statement is Google’s Smart Reply Feature, which has been using artificial neural networks to send appropriate responses to the email messages.
The feature is integrated with machine learning that analyse the emails and recommends quick, small size messages that you may want to send.
Predictive replies have made it easier for businesses and brands to resolve the queries in less time.
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Smart Devices: An Emergence Out of AI
Smart devices and IoT has been a great push for the modern mobile apps to get deeper insights into the daily lives of mobile app users. With the assistance of smartphone gadgets, the screen of the users are now getting populated with AI-enabled powered apps.
Hence, smart home devices are providing another great push to integrate AI in mobile apps. A recent emergence of AI-powered smart platforms from various mobility companies have been pushing for this type of integration.
Some of the popular instances that are the result of this integration are: Google Assistant, Apple Siri, Microsoft Cortana, and Amazon Alexa.
Conclusion:
The inclusion of AI into mobile apps can help in serving the customers in a better way as it will help in analyzing the consumer’s behavioral pattern through deep down data analysis that can help in giving accurate and precise results which can help businesses to make more confined decisions.
You can look for a mobile application development company for an advance AI-based application, that can help in integrating AI into your next mobile app to accelerate business growth avenues.
Then your search ends here. We at ValueCoders provide all solutions under one roof and ensure 100% customer satisfaction.
There is a lot more in store for mobile application development companies to explore with the influx of AI.
