MACHINE LEARNING TO IMPROVE MOBILE APPS

Machine learning is a concept. It implies the application of artificial intelligence (AI) for enabling systems to automatically learn and improve from experience. In other words, Machine Learning enables systems to learn and execute activities like humans. Systems are not programmed in advance for this. They instead use data such as examples, direct experience, or instruction to look for patterns in data and implement better decisions in the future. Virtual personal assistants that respond automatically to users of an application and automated predictions while browsing or online shopping are two good examples of machine learning.

SGS Technologie is an experienced software development company in Florida with immense expertise in AI and Machine Learning. We explain the advantages Mobile Applications can get with the integration of Machine Learning.

Personalized Experience: Machine Learning can use different algorithms to analyze various sources of information and provide recommendations in the end-user’s mobile applications. It helps classify users based on their interests and determine the target users, their needs, preferences, and pain points among others. Hence machine learning provides users with the most relevant content and accurately fulfills the original purpose of a mobile app; be it sales; branding or advertising.

Advanced Search: This is about predicting what a mobile app user needs even before a search is made. Machine learning solutions optimize searches made in an app to deliver better and more contextual results. It is done with algorithms that learn from customers’ queries and prioritize the results as preferred. Machine learning in applications also helps create DIY videos, FAQs, documents, more to provide immediate answers.

Classifying Users: Machine learning applications help understand users’ preferences and behavior patterns by scrutinizing different kinds of data. Such data may include age, gender, location, search requests, usage frequency, and more. All these can be used for target-based marketing and promotional campaigns. There will be a massive reduction in costs as well as time taken for converting leads to sales when machine learning technology is integrated with mobile apps.

Customized Advertisements: Machine learning technology helps companies target display advertisements and personalized messages that are related to the interests along with preferences of customers. That is, it helps create advertisements based on data about each customer’s unique interests and buying interests. This ensures the avoidance of annoying or irrelevant campaigns that could deter interest of customers in a brand name.

Improved Security: Machine learning can also secure app authentication. Video, audio and voice recognition tools enable authentication using their biometric data such as face or fingerprint. This concept is already in use for certain mobile devices. Confidential enterprise applications installed in mobile devices can be secured using Machine Learning. In this way, only authorized people can have access to a mobile application.

Reach out to SGS Technologie for more on Machine learning solutions we can give your mobile app. SGS is headquartered in Jacksonville, Florida with bases in Tallahassee, Florida and Frisco Texas. We have 17+ years of experience in developing mobile applications for clients from various industries as well as government agencies.

MACHINE LEARNING TO IMPROVE MOBILE APPS


Machine learning is a concept. It implies the application of artificial intelligence (AI) for enabling systems to automatically learn and improve from experience. In other words, Machine Learning enables systems to learn and execute activities like humans. Systems are not programmed in advance for this. They instead use data such as examples, direct experience, or instruction to look for patterns in data and implement better decisions in the future. Virtual personal assistants that respond automatically to users of an application and automated predictions while browsing or online shopping are two good examples of machine learning.

SGS Technologie is an experienced software development company in Florida with immense expertise in AI and Machine Learning. We explain the advantages Mobile Applications can get with the integration of Machine Learning.

Personalized Experience: Machine Learning can use different algorithms to analyze various sources of information and provide recommendations in the end-user’s mobile applications. It helps classify users based on their interests and determine the target users, their needs, preferences, and pain points among others. Hence machine learning provides users with the most relevant content and accurately fulfills the original purpose of a mobile app; be it sales; branding or advertising.

Advanced Search: This is about predicting what a mobile app user needs even before a search is made. Machine learning solutions optimize searches made in an app to deliver better and more contextual results. It is done with algorithms that learn from customers’ queries and prioritize the results as preferred. Machine learning in applications also helps create DIY videos, FAQs, documents, more to provide immediate answers.

Classifying Users: Machine learning applications help understand users’ preferences and behavior patterns by scrutinizing different kinds of data. Such data may include age, gender, location, search requests, usage frequency, and more. All these can be used for target-based marketing and promotional campaigns. There will be a massive reduction in costs as well as time taken for converting leads to sales when machine learning technology is integrated with mobile apps.

Customized Advertisements: Machine learning technology helps companies target display advertisements and personalized messages that are related to the interests along with preferences of customers. That is, it helps create advertisements based on data about each customer’s unique interests and buying interests. This ensures the avoidance of annoying or irrelevant campaigns that could deter interest of customers in a brand name.

Improved Security: Machine learning can also secure app authentication. Video, audio and voice recognition tools enable authentication using their biometric data such as face or fingerprint. This concept is already in use for certain mobile devices. Confidential enterprise applications installed in mobile devices can be secured using Machine Learning. In this way, only authorized people can have access to a mobile application.

Reach out to SGS Technologie for more on Machine learning solutions we can give your mobile app. SGS is headquartered in Jacksonville, Florida with bases in Tallahassee, Florida and Frisco Texas. We have 17+ years of experience in developing mobile applications for clients from various industries as well as government agencies.

Category : Mobile Application

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