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Artificial Intelligence is the technology that is doing the rounds these days in almost every sphere of life. We may or may not happen to notice it, it is there. Artificial Intelligence is as old as the story of Frankenstein. However, the concept did not gain importance and become familiar until the late 1990s when it began to be used for various purposes in the fields of medicine, logistics, data mining etc. This change came due to its intense computational power to solve problems. It was further popularized by IBM when IBM backed intelligence system Watson beat the reigning champions of a quiz show titled Jeopardy. Companies like IBM and Google started incorporating AI into their products. This lead to the extensive use of Artificial Intelligence in almost every field.

Come to smartphones, and Artificial Intelligence found a new way of interacting with a huge user base. The introduction of Artificial Intelligence into the field of mobile communication has led to the rapid development of smart and intelligent mobile apps. From simple notification based app to healthcare and fitness apps, logistic management to inventory systems, a whole lot of apps are being infused with Artificial Intelligence. There are apps nowadays that can manage your schedules, create a fitness ready eating chart, remind you when you are supposed to exercise and do some other stuff. In case you have less time on your hands, certain apps will also propose you with exercises in that short time span. Other apps may notify you when the stock of a particular item is about to finish and you need to replenish it. Such apps can also come up with an analysis chart that shows the quantity in hand for all items, and when they must be replenished.

If you have heard of Artificial Intelligence, you must have heard of Machine Learning as well. Machine Learning is a concept in which robot-like machines learn from past experiences i.e. almost human-like. In other words, it is machine learning due to which the users of Artificial Intelligence get better results. If a machine performed an action that did not yield the desired result, the machine would not perform the same action again.

With the combined efforts of the developers and the machines, using Big Data, Machine Learning, Reasoning, and Problem Solving, mobile app development can be enhanced to a great extent. All mobile apps collect data these days in one form or another. These days there are mobile app development companies in India, US, UK and elsewhere that are busy collecting data from a user’s mobile through their applications. The data is massive and present in almost any form – structured or unstructured. Such data, the BIG DATA, provides insights into the requirements of the users. This is essential as developers are able to build apps that are tailored to the needs of the users. Also Artificial Intelligence secures the user’s data so having AI-enabled apps on your phone is an advantage.

What to expect from AI-enabled Apps?

Apps that Use Artificial Intelligence


To introduce new technology into our lives these days, the best way is by implementing it in mobile apps. AI has through the use of mobile apps now influenced a very big user base, be it Android, Windows, or iOS phones. There are a number of apps, more specifically the assistants that use AI. However, with AI and Machine Learning coupled together the best is yet to come. In the very near future, we might see developers, businesses, and users dependent totally on Artificial Intelligence to do their work.

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Author Details

Krunal Vyas

Product Consultant, India App Developer

I’m Krunal Vyas, IT consultant at India App Developer, is one of the leading Mobile App and Software Development Company India, I have helped more than 300+ clients to bring idea in to reality. I have attended many tech conferences as a company representative and frequently blogs about the search engine updates, technology roll-outs, sales & marketing tactics, etc. View all posts by Krunal Vyas

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