In recent years, technology has seen an aggressive revolution and has significantly contributed to the development of hardware devices such as SmartPhones. With the rapid growth of Machine Learning and AI, it has become a reality to build silicon chips that support Artificial Intelligence in the Smartphone.
AI in smartphones has opened up new opportunities for mobile Application Developers to develop Applications with a great UX. For example, A voice-enabled search such as Siri or Alexa, with the help of which people can perform different actions like opening an app or browsing some information on the search engine. Further now, Artificial Intelligence Phones now consist of the Chips that support such applications.
Why has AI in Smartphones or iPhones become pretty important?
If we look at the current scenario, there is tons of data available various users and machines generate that. Interpreting such a massive amount of data can always be a daunting task. Artificial Intelligence or Machine learning is the technology that makes the process relatively more straightforward and helps engineers and developers to analyze complex data collected from various places.
Why is data analytics Important? Imagine you own a restaurant that offers numerous services. You cannot provide a customized service to customers. There are two ways: either you can survey and analyze the responses or use smartphone AI and iterate with your Application to understand user behaviour.
The second option is a relatively more easy and quicker way. Hence this is the reason why AI is a revolutionary technology. With the help of AI, you can open up various doors to strategize your services accurately.
As per the recent statistics done by Statista, it is forecasted that AI-based Applications could hit the 126 Billion dollar Revenue mark this decade.
Areas where AI in Smartphones can play a Major Role
Some of the demanding areas where you can leverage AI phones to offer some best use cases.
Personal Healthcare Applications using machine learning in Artificial Intelligence Phones
Leveraging AI with IoT could be one of the best uses to make your Application offer more features to the users. With many sensors available in mobile phones, you can create an application that can get the user’s data, such as the number of steps it walks or the pulse. And with the help of AI, developers can analyze data and offer personalized healthcare tips to the users. According to the statistics by top Technology Companies, more than 50 billion devices would be connected, requiring a good number of AI algorithms.
Helps to prepare accurate Marketing Strategies for Users and businesses.
AI is essential in analyzing user data and behaviour while using its Smartphone. Users try to explore numerous applications such as restaurants, shopping websites, etc. Machine learning in mobile devices leads to collecting data. With Artificial Intelligence phones, the developers can generate a user behavioural pattern to help marketers know what users like. Based on that, the user can prepare some of the best strategies.
AI-based data analysis also reduces marketers’ workload, as they don’t need to do surveys or go and talk to people. Instead, they can collect data constantly and analyze them with the help of developers.
As per the recent report by Gartner, most companies would now use Artificial Intelligence for deploying Sales strategies.
Chatbots are pretty commonly used AI tools for different applications to understand user needs and offer customized solutions. Most chatbots use advanced AI concepts such as neural networks, NLP, or Natural Language processing.
Enhances the data security and Malware Attacks
A lot of mobile application developers face considerable concern regarding the security of user data. With a lot of advanced hacking attacks like ransomware attacks, a massive amount of compromised regularly. Machine learning and Artificial Technology in mobile can help developers to do the predictive analysis for securing the Application and finding out the different levels of vulnerability.
Based on the predictive analysis, developers can implement some security measures and reduce the risk of an attack by discovering the potential loopholes and backdoors in the mobile application security.
Easifies the Onboarding Process and enables Gamification.
Onboarding a user to a mobile Application is always a difficult task. Most people use the application one time and don’t return to it. Hence to improve the conversion rate, Most developers are now using Artificial Intelligence in mobile Applications. As it helps them to understand human psychology while exploring the Application. Which further they can use to implement the UI and UX for the users
AI-powered Content Management Tools.
When the pandemic hit the world, the education industry witnessed an aggressive transformation in the methodologies of offering Education to Students. And this led to the development of some advanced tools and applications that leverages AI for different use cases, such as creating video lecture, making textbook guides, offering customized course structure to the student, and much more.
Offering customized banking solutions to the Bank Customers.
Many banks are now finding various opportunities to integrate AI or machine learning in their mobile applications. With the help of AI, the banks can get data about what their customers are exploring and what services are in most demand. Further, they can analyze that data and offer a wide range of financial services through their mobile Application. For example, suppose any user is exploring an Investment plan. In that case, their chatbot or AI-enabled message service can send them information that could be pretty helpful for them while making a decision.
In a nutshell, Artificial Intelligence and machine learning in mobile devices have offered numerous use cases in different industries like marketing and education. And with the rise of Artificial Intelligence, the future of mobile applications and the tech industry seems to be more exciting.
With the help of this blog, we have tried to cover some major use cases and advantages of AI-enabled Mobile Applications. If you would like to extend it with your views, there is always a comment section below.
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