Intelligent Apps The future of mobile solutions

Intelligent Apps: The future of mobile solutions

Published on: 04 Jul 2019

By Praveen Kumar 

We are living in an amazing era where technology is advanced, yet small enough to fit in our pockets. Smartphones are the future as well as the present. When the first iPhone came out, augmented reality and virtual reality were still pipe dreams. Now most smartphones have the ability to enhance our lives both physically and in the virtual world. However, with the Internet of Things and other advanced technologies in development, there are many who believe that the smartphone will be replaced. But with the advent of intelligent mobile apps, it looks like smartphones are here to stay.

What are Intelligent Apps?

Intelligent apps are applications that use historical and real-time data based on user interactions and patterns to make predictions and suggestions to enhance the user experience with a more personalized touch.

A smartphone is a nexus point for many virtual experiences and services for a user. Technologies that can augment this nexus and create unique experiences will define the future. This is where an intelligent app can change things. Of course, it’s not just about the user experience alone, intelligent apps will also cater to businesses who want to connect better with users to enhance value and yield greater business results.

In 2017, Gartner named intelligent apps as one of the Top 10 Strategic Technology Trends. The technology can be used in a variety of industries or domains such as productivity, beauty, education, sales, manufacturing, and entertainment.

Features of Intelligent mobile apps

Here are a few features of Intelligent Apps:

  1. Input Tracking
    Modern intelligent applications are able to understand visual cues and recognize facial expressions via a smartphone camera. A learning application, for example, would use a visual cue such as a puzzled expression, to understand if a user is having difficulty with a tutorial or course.
  2. AI-Based Solutions
    Artificial intelligence and machine learning are being used to understand user patterns and behaviors to provide better service in I-apps.
  3. Personalized experience
    Intelligent applications will provide relevant suggestions and information to ensure that the user has a personalized experience. Delving through your history and user patterns, I-apps will figure out your personal choices and make intelligent suggestions.
  4. Instant Response
    Generally I-apps are quite fast as they are constantly collating data and predicting your behavior. These applications are capable of solving a query in a split second.
  5. Automation
    The AI used in such applications tends to be a lot more sophisticated with infinite algorithms that automate a number of tasks.
  6. Handles Big Data
    Intelligent applications are designed to handle big data. Yes, they can sift through large amounts of data and figure out the complexities and patterns within. Smartphones are constantly improving in processing power, intelligent apps will soon more efficient at tackling big data.

Frameworks required for Intelligent Mobile Apps

Building an intelligent application isn’t easy. There are many factors to take into consideration while developing. For example, the app should not completely change the user journey. A subtle augmentation is preferred to enhance the user experience. For example, self-organized apps can have small additions, deletions or self-learning algorithms to provide new insights to the user. In this type of apps, the age of the app and lifetime of the app-user will drive their maturity and success. If you’re planning to build an I-app, here are a few frameworks to consider:

  • A framework to Know Your Users’ Activity (KYUA).
  • A framework to acknowledge the patterns of user activity and provide support for prescriptive design changes.
  • A framework to take the app to the next level of engagement and user satisfaction by rolling off quick releases.
Praveen Kumar