What are Intelligent Apps?

What are Intelligent Apps?

In simple words, Intelligent apps are modern technologies such as machine learning and artificial intelligence. They use the power of the combined data organisation, consumer data, and operational data, thus providing a very rich experience to the users. In the term of smart apps, mobile app companies, as well as the developers have switched their focus from the native-single-operational apps to intelligent apps. 

Different Intelligent Application

There are different types of famous applications in the terms of intelligent apps of iOS and Android Development. 

1 - Alexa 

Amazon Alexa a digital assistant of AI generation advanced via way of means of Amazon It is able to gamble tune playback, voice interaction, putting alarms, streaming podcasts, gambling audiobooks, presenting real-time facts which include news, sports activities scores, climate report, making to-do lists, approximately traffic, manage your clever domestic or even to order products from Amazon

2 - Siri 

In addition, Siri has assisted AI and language processing, and it consists of 3 parts - an informal interface, personal context awareness and repair delegation. Siri is intended to provide you with a smooth way of communicating or interacting together with your iPhone, iPad, iPod Touch, Apple Watch, HomePod or Mac. 

3. Google Assistant 

Google Assistant is an artificial intelligence that is a powered digital assistant developed by Google it is also available out there on mobile and smart home devices. Google Assistant offers voice commands, voice searching, and voice-activated device control, it's designed to allow you conversational interactions. Google Assistant originally launched on the Google Pixel smartphones and Google Home, however, it is currently available to only regarding all trendy Android devices.

4. Netflix

This platform doesn’t need any kind of introduction as it’s the largest movie and television show company one of the parts of intelligent apps. We all know it’s the most popular on content-on-demand service. The analysis of Netflix has hundreds of records so that it can suggest movies, Tv shows and documentaries same to those you have seen and rated Netflix has accomplished to use more data to offer the best recommendations to the users. Currently, also, most of the recommendations of  Netflix are based on global audiences.

Most used data of AI at Netflix - 

1.Thumbnail/artwork personalization

Every thumbnail at Netflix has been chosen algorithm-based, through which the users’ preference is chosen based on the past viewing history, the thumbnail has been selected as the highest rate of converting. For every program on Netflix, there is a diverse range of posters which categorised to the specific group of users.      

2. Optimal streaming quality

The optimal streaming quality is a metric that specifically changes to the bounce rates over 140 million users worldwide, it gets challenging for Netflix to offer the best streaming quality to its viewers. However, with the help of Artificial intelligence and machine learning, Netflix can arrange future demands 

3. Tailored movie recommendations made just for you

 Despite having two individuals log-in Netflix that means if two persons are joining at the same time they would be offered different program recommendations. Though this might seem obvious on the surface, however, the inside story of the entire story of the movie would be entirely different.