In this digital world, everything is embedded with awing technologies and innovations which means to polish the perks of instant and hope of futurity.
Finding out the usual active and awful technology, between all available technologies, reaches out for artificial intelligence.
These interesting technologies are packed with tremendous advantages which apply best to this fast-moving world and makes it more comfortable to the users with varied aspects.
It is not an overstatement when I tell life without smartphones is impossible Just assume how we perceive when we inadvertently forget our mobile at home. Don’t we seem totally cut off from the world though we are in the middle of our community real-time?
Smartphones have changed the process we work, play and interact. And what presents smartphones overwhelming is the wonderfully-functional applications that we download in those devices.
These applications unlock the complete potential of your smart device and obtain our lives important as we can manage our personal and professional, relations and activities in an effective, appealing, and interactive style.
Intelligent apps are the future generation of applications that make our daily jobs and skills exceptionally great.
What are Intelligent Applications(I-Apps)?
an Intelligent App is an application that uses Artificial Intelligence, Machine Learning, Big Data Analytics, and both real-time and historical data to make contextual predictions and smart decisions in order to deliver users a highly personalized and adaptive experience.
Continuously learning the behavioural, contextual and emotional patterns of a user in real-time, and Intelligent App is able to act on its own along with performing the tasks assigned to it.
Intelligent Apps leverage users’ data, Artificial intelligence-powered algorithms, predictive and prescriptive analytics, product insights, and operational vision to predict users’ needs and deliver them as relevant and useful information as possible accordingly.
To facilitate key user decisions, I-Apps takes advantage of historical and real-time data with the help of Artificial intelligence-powered algorithm.
Ideally, the more an Intelligent App is used, the more it learns and the more intelligent it gets. Thus, every time an input is made, the app provides a personalized response to the user. For example, Smart Reply saves you time by sending auto-generated replies to your emails.
Key Features of Intelligent Apps(I-Apps)
5 important features of I-Apps are mentioned below
- Contextual and appropriate these intelligent apps make very smarter use of devices features and proactively gives the extremely important information and instructions users will no longer have to search for apps. Instead, apps will knock their door.
- Omnichannel PWAs (progressive web applications) are rapidly blurring distance between native applications and web applications.
- Action-oriented by predictive analytics it predicts user behaviour. I-Apps deliver private and active suggestions.
- Constantly adapting Leveraging the power of Machine Learning, these apps continuously adapt to the changing demand of users.
- Data-driven I-Apps link and process various data sources such as IoT sensors, user interactions and turn a huge amount of numbers into relevant insights.
Examples of Intelligent Apps (I-Apps)
Now that you’ve got well-familiar with the features and abilities of an Intelligent App, let’s take a look at some of the best and most popular examples of Intelligent Applications:
Cortana: A truly personal digital assistant by Microsoft to help users get things done smartly.
Hound: The fastest and smartest voice assistant helping users find what you’re looking for, using their natural voice.
Elsa: An ultimate English language speech assistant designed to improve your English-speaking skills.
Ada: An amazing AI-powered healthcare app created by over 100 doctors & scientists to help everyone live a healthier life.
Microsoft Pix: An intelligent camera app by Microsoft, allowing users to capture the best possible pictures using serious Artificial Intelligence.
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Being equipped with the above-mentioned features, Intelligent Apps are able to do the following things:
Uses of Intelligent Apps
1) Study User Context and Preferences:
An Intelligent App takes note of every single activity that a user performs. Based on the given inputs, it understands users’ behaviour, choices, and likings and provides them with the recommendations as per their requirements.
2) Make AI-based Decisions:
Taking advantage of Machine Learning and Artificial Intelligence, Intelligent Apps make smart decisions on what is important and relevant to users and what is not.
In other words, they have the intelligence to distinguish between relevant and irrelevant information. They eliminate irrelevant information and use only the relevant information to make smart decisions.
3) Provide Contextually Relevant Information to Users:
Being able to track users’ activities and actions, Intelligent Apps are well-familiar with their needs and provide them with the most relevant information before they even search for it.
Thus, Intelligent Apps not only saves users’ precious time but also solves a number of problems they might be facing.
4) Proactively Respond to Users:
Since Intelligent Apps are quite rapid in nature, they respond to users within a split of a second. Also, they don’t wait for users to take action because they are able to act on their behalf.
5) Automate Multiple Tasks:
Leveraging the power of advanced AI-powered algorithms, Intelligent Apps automate a number of tasks that you want to perform. Even, these kinds of apps are flexible enough to make commands for other applications and services.
6) Communicate on Your Behalf:
Well, it might sound weird to you, but the reality is that Intelligent Apps can communicate on your behalf. Using tons of algorithms, they are able to predict whom you want to communicate and what you want to say.
In fact, these responses are too real that the recipient does not even realize that s/he is communicating with the app and not human.
7) Bring Ease to the Users:
Before you even take any actions, an Intelligent App forecasts what you need thereby keeping it ready. Unlike a regular app, which requires you to follow a multi-step process to get a specific action done, an Intelligent App requires you to tap on a single button to executes the same task.
8) Acts as Your Personal Assistant:
Being capable of doing the right thing at the right time without notifying you in advance, the Intelligent Apps act as your personal assistant, save a lot of your precious time and efforts.
How Intelligent Apps can help various Industries
Intelligent apps have the potential to improve operational superiority in the Business to Business(B2B) as well as Business to consumer(B2C) divisions.
I-Apps can support workers to carry out their job in an effective manner, for instance, a company could generate an intelligent app to warn employees to acknowledge immediately to emails that need an important response.
As intelligent apps deliver highly personalized and contextual knowledge, employees can instantly filter and streamline data on the source of their requirements. Therefore, intelligent apps help in improving output and decrease turnaround time.
Today’s economic institutions are being assumed to convert assistance utilising superior technology. With numerous start-ups taking their part of the market, more consumers are asking expertise of engagement.
The development of intelligent apps has changed the financial sector. Intelligent apps have assisted companies to improve their performance and customers can completely understand and control their finances by the application like intelligent apps.
Today’s media has changed from broadcast and cable television to real-time streaming. Self-learning, self-controlling and self-communicating standalone I-apps have facilitated a uniquely different perspective of media viewing in modern years.
With practical reality building completely new circumstances, linked with the user’s capability to communicate with practical spaces, I-Apps powered by machine learning and artificial intelligence are set to restore different perspectives of the business.