What are Intelligent Apps (I– Apps)? Benefits And Examples!

Everyone is expecting decent opportunities in the form of experience as-a-service, with the evolving incorporation of technologies in the world of mobile. They are raising questions on the abilities of typical mobile apps while imploring a clear demand for a personalized experience.

Dispersion of this can be that mobile apps have begun embracing the capacities of AI to eventually emerge as Intelligent apps. Now you might be curious to know what are intelligent apps, so let’s see below.

What are Intelligent Apps?

Intelligent mobile apps are essentially AI-enabled applications that provide a rich, adaptive, and personalized user experience. These apps incorporate the power of predictive and prescriptive analytics, consumer data, cutting-edge technologies, and operational data with application development tools and the latest user-centric design to make a high-end user experience. As we have covered what are intelligent apps, let’s have a glimpse of the intelligent apps examples to understand them better.

Also Read: Software Testing Services

Intelligent App Examples 

Below are the examples:

1. Elsa Speak

ELSA Speak is one of the popular Artificial Intelligence apps that assist users to learn English quickly and effectively. The application has a documented down test designed by the professionals which facilitate users to learn and speak English fluently in a smaller period. Furthermore, this Android and iOS app enable them to proceed further by keeping a track of their progress.

Relatable Read: New Trends In iOS App Development

2. Cortana

Microsoft’s Cortana is one of the best Intelligent apps that is altering our lives. The personal assistant app proposes different features and functionalities to users, such as setting reminders, keeping track of important files and documents, getting insight into weather forecasts, etc.

3. SwiftKey Keyboard

An AI-powered keyboard, SwiftKey Keyboard which auto-corrects your wrong text. Moreover, the app also proposes features like design, changing font colour, style, theme, etc. and enhancing your conversation by suggesting emojis.

4. Socratic

Socratic is an AI-based intelligent application that simplifies the learning process as it is introduced by Google. The application authorized students to inquire or ask questions either by asking verbally or by taking a photo of questions. The app itself comes up with the optimal question and answer sections, including YouTube videos, and links to the blog, which makes the process of studying quicker and simpler.

5. Hound

Hound is also another perfect example of how Artificial Intelligence in mobile apps can simplify your life. The app seizes voice commands to execute different actions such as getting familiar with the best hotel, restaurant, or doctors. Another fascinating feature of this i-app is that it translates speech to text and vice-versa.

6. IRIS

IRIS is an example of the execution of artificial intelligence in mobile apps for adequate services. It is developed by Paint Technology Solutions. An intelligent reporting Android and iOS app for team leaders, managers, and co-workers of any specific project. The application allows them to get access to the report of any team member. And the favourable part is that multiple users can access the same document at the same time and that too from distinct sync devices.

7. FaceApp

FaceApp is also another application that uses Neural and AI network technology to build freaky, hilarious, most realistic face transformations.

8. Youper

Youper is an easy computing artificial intelligence app that caters to health and fitness issues and is accessible on both Android and iOS. The application is established on cognitive behavioural therapy, motivates users to share their social phobia and get real-time stimulating advice. In this way, it enhances their social interactions and lifestyle effectively.

9. Flo

Flo is yet an i-app that is mainly used in the process of photo and video editing. The app appears with a built-in voice assistant that facilitates users to give a voice command regarding which footage to pick, and on what basis (based on date, location, or tags).

And eventually, incorporate them optimally with high-quality music. The application also assigns Machine learning algorithms that provide options like choosing the best moments, locations, detecting faces, etc. Now, let’s look at the features that make these apps prominent.

Also read: Testing Mobile Apps Using Appium

Benefits of Intelligent Apps

Below are the benefits of intelligent apps:

1. Action-Oriented

The major factor of i-apps is that these applications do not wait for users to make every move. Instead, they study user behaviour and provide personalized and actionable outcomes using the power of Predictive Analytics. In this way, they cut down the conflict of users and urge them to seize desired actions.

A great example to understand this trait of Intelligent applications is the Hound app. It indicates the best nearby restaurants, hotels, and more in real-time. This provides users with a push towards making a booking, which probably would not have been possible if they were asked to search manually.

2. Data-Driven

One of the key features of Intelligent apps is delivering a data-driven output. The intelligent apps collect information from different sources be it IoT sensors, websites, mobile apps, beacons, etc., and examine it in real-time. An outcome of this is that you get the exact results for almost everything when asked.

Suggested Read: Keyword-Driven and Data-Driven Framework

3. Contextual

Intelligent mobile apps survey users’ behaviour and preferences, they easily distinguish between which data is appropriate and vice versa. Because of this, these apps furnish highly contextual and suitable data and recommendations to users. 

Furthermore, they inform users about the problems they might face relying on their modern situation. An instance of this would be the Cleo application, an AI-powered budgeting app that evaluates people’s expenditures and notifies them of their spending abilities. On the other hand, the cost of a Cleo like app is relatively high.

4. Adaptive

Supported by machine learning algorithms, these apps are adaptive. They can effortlessly promote their knowledge as per their surroundings.

5. Exclusion of Keyboard Inputs

Since providing high comfort is a core objective of i-apps, these applications also stimulate the opportunity to provide commands without using keyboards. It means that these apps respond to commands offered in the form of speech, image, gesture movement, etc.

6. Omnichannel

Last but not least, transmitting an Omnichannel experience is also one of the fundamental features of Intelligence apps. These applications understand that users want a familiar experience, irrespective of which outlet they are interacting with. And therefore, assures that they receive the same experience on all the communication channels.

So, to confirm that you do not stay behind, let’s have a glimpse of how to formulate intelligent mobile apps. Now let’s look at I-Apps focus areas.

Creating an Intelligent Mobile Application

When it arrives at how to formulate an intelligent app, the cycle starts with understanding the decisions that core firm constituents must assess in support of their business operational purposes. It is essential to concentrate on comprehending the main app technology and potential of architecture while developing next-generation applications:

1. Data Pool Supports

1. Real-time data gathering, indexing, and management
2. Improved data accessibility across the ecosystem
3. Safe and Secure data management services
4. Flexible data delivery options

2. Data-as-a-Service Favours

1. User self-service probabilities
2. Stimulated data management, monitoring, and tracking options
3. Incorporated information alignment and transition services

3. Analytic-as-a-Service Encourages

1. Embeddable and Shareable Analytics and Visualization
2. Real-time supervision of data records for smarter decisions

4. Process of Development of an Intelligent App

1. Strong development possibilities with new DevOps and PaaS techniques
2. Continuous relevance of data
3. Delivery of insights in an Omnichannel environment

Conclusion

As we have talked about what are intelligent apps and everything about the model of strengthening intelligent mobile apps, the process is vastly progressive and challenging. It is often better to employ a tech mobility professional to taste the future of mobile applications, i.e. intelligent apps.

Frequently Asked Questions 

Q1. What are Analytics and Intelligent apps? 

AI and analytical technologies are integrated into intelligent applications (apps), giving them the capacity to act intelligently in response to feedback from their surroundings. 

Q2. How are I-Apps created? 

Utilizing internal machine learning algorithms, intelligent apps process massive amounts of data and continuously enhance their functionality. 

Q3. Where are I-Apps used? 

Apps with intelligence are very adaptable. They can be used to evaluate students, comprehend their behaviour and learning patterns, and introduce a more effective and individualized learning model into the educational system. Based on a person's learning capacity, intelligent apps can offer learning assistance. 

Q4. What are the most common examples of I-Apps? 

As mentioned earlier in the article, the most prominent examples of I-APPS include: 

1. Elsa Speak 
2. Cortana 
3. SwiftKey Keyboard 
4. Socratic 
5. Hound 
6. IRIS 
7. FaceApp 
8. Youper 

Also read: Mobile Apps Are Important For Your Business