Evolution of Intelligent Apps

Evolution of Intelligent Apps

One of the most talked-about emerging technologies today is the ‘intelligent apps’. We have dealt with apps in our smartphone that helps us to do various tasks. But intelligent apps are something different. These apps learn from surroundings and user interactions to make themselves more useful to the users. They can provide a more personalized experience and provide users with more relevant information. It is interesting to know how the modern intelligent apps have evolved over time.

The first phase of these apps was when we had normal mobile phones packed with some basic apps like clock, calendar, alarm, calculator, editor, and other things. These apps were very handy indeed and still exist in modern phones. However, there were no apps to do more complex tasks like finding the nearest restaurant or an app to create a diet chart for you.

When the smartphone was released, it had a bundle of interesting apps along with these basic apps. This is the second phase of app development. There were apps for fitness, recipes, entertainment, and many other things. Businesses started developing their own apps to reach mobile customers.

We are now in the 3rd phase of app development. Due to advanced technologies like artificial intelligence (AI), machine learning, deep learning, data science, and the Internet of Things (IoT), the mobile apps also got smarter; we call them ‘Intelligent apps’. Virtual assistants, chatbots, and apps that recommend us shopping items or restaurants are all examples of intelligent apps.

Let’s say, you download a restaurant app, enter your location, and the type of food you want to eat. The app will recommend restaurants based on the data you have entered. Next time when you use this app, it will give a recommendation based on the previous data stored and the new data it received to give you a more personalized experience. The app will also recommend meals based on your previous information.

The intelligent apps today collect information from various sources including the Internet, sensors, and other devices. They also take into account the various forms of user input like texts, videos, and photos. The app then uses all this information and with the help of AI and machine learning, provides suggestions to the users. They help in making decisions regarding complex tasks.

Intelligent apps have made our lives very easy. These apps will relieve us from doing various day-to-day tasks and also help with critical decision making. We won’t have to gather data from various sources; the apps will do it for us. Intelligent apps can be useful in business too. These apps can be used in the education sector to understand students’ learning patterns. In the medical sector, these apps can suggest basic medicines for simple diseases. The financial sector can benefit from these apps too as they can tell you about the market trend and help you take major business decisions. In the future, these apps will become smarter and will be able to perform tasks that we have never imagined before.

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