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"name" : "How will Machine Learning improve Mobile Applications?",
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"image" : "https://www.sgstechnologies.net/sites/default/files/2020-01/Machine%20Learning%20improve%20Mobile.png",
"articleSection" : "Machine Learning is a subset of Artificial Intelligence that enables computers and software versions to learn as well as predict outcomes automatically without human interference.",
"articleBody" : "But its usage while developing mobile applications hasn�t been explored much until now. The immense popularity of mobile devices needs to be considered at first. There still are many aspects of a mobile or a handheld device such as androids and tablets that users are not familiar with. What if Machine Learning can help improve the user experience as well as the responsiveness of users to mobile applications?</P>\n\n<P>Here are some probable instances that necessitate the integration of Artificial intelligence in mobile application;</P>\n\n<P><STRONG>Learning:</STRONG> This is similar to typing queries in a search engine such as Google. The more number of times a query is typed in the search bar, the more Google�s Search AI functionality will be able to predict it. The function learns what a particular user will most probably search. Just typing a few words will automatically complete the rest of the query. Similarly with regard to mobile applications, the program can try various attempts at predicting what a user wants or is going to do next. After some attempts, the application can learn the job preferences of the user and store the solution for future purposes. It can utilize a client�s search history and predict what a client may wish to purchase.</P>\n\n<P><STRONG>Reasoning:</STRONG> Artificial Intelligence in mobile apps allow enable them to reason automatically. It incorporates automated reasoning to solve problems quickly. For example, vehicle hiring apps of state transportation agencies or private operators can utilize AI for finding the shortest routes to the desired destination. These apps utilize insights collected from millions of drivers who have gone through the same routes and use the information accordingly.</P>\n\n<P><STRONG>Valuable Content:</STRONG> A lot of mobile applications cannot attract client loyalty as they are devoid of fresh, exciting and important content. Integrating AI in mobile applications enables sending proposals to clients based on what they need. This is possible when Artificial Intelligence algorithms gather information from the client�s behavior pattern through their purchase or search history. The application or the system can learn more about the user�s preferences and generate accurate reports on the same. Then a business can make reasonable proposals to the user or probable client.</P>\n\n<P>Machine Learning can bolster mobile applications with smoother user experiences capable of leveraging powerful features, such as providing accurate interest-based recommendations or instantaneously detecting anomalies. Mobile Applications that can be developed by adapting to machine learning features include e-commerce mobile applications, image editing mobile applications, weather forecasting mobile apps, transportation-booking applications, food-delivery applications, and more.</P>\n\n<P>There are various possibilities on how machine learning can be used to develop or rewrite the mobile applications of your business. SGS Technologie invites companies in different parts of Florida such as Jacksonville, Tallahassee, Tampa, and Miami as well as the rest of the United States for further discussions. The economical future is expected to revolving around such advancements in technology and we will set you on the right track.",
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