Computer
In the dynamic landscape of the technology sector, one of the most pivotal domains that has witnessed significant evolution is the mobile app development industry.
For decades, a set of major forces worked together, to change the way we think about “technology”. So far, these radical forces have brought about revolutionary changes in software programming, virtual communications, and user interactions.
Today, software and cloud infrastructure are increasingly combined with data and machine learning/Artificial Intelligence to become a major platform for tomorrow’s intelligent apps.
As Microsoft CEO Satya Nadella says, “This is a new platform, a third ‘run time’ – the next platform. One that not just manages information but also learns from information and interaction with the physical world”.
What is an Intelligent App?
Applications that precisely understand the “Why” behind “What” are intelligent apps. Machine learning and data analytics are considered as the backbones of the intelligent app ecosystem. The conception of micro-services and the flexibility it offer to coherently interface with REST APIs increase the chances of using and re-using learning services and ML algorithms.
Furthermore, combining these algorithms with the particular data slice Tom understands is micro-intelligence, which again can be seamlessly incorporated into the apps. This integration marks a significant advancement in developing applications for iPhone.
The brand new genre of intelligent apps is the first fundamental step towards human-machine interaction. The ecosystem allows humans to interact with computers and increase their efficiency in knowing us.
In the process of understanding us, computers or smart apps start suggesting things, providing solutions to everyday problems, and accomplishing the chorus on our behalf. In short, intelligent apps have the ability to do one or more of the following things.
Study user context and preferences: the apps pay attention to our choices and behaviors, thereby predicting what we need.
Dependence on AI for making decisions: Algorithms used in building intelligent apps play an important role in empowering software to distinguish between relevant and irrelevant information.
Provide users with contextually relevant information: Having determined our needs, intelligent apps will not wait for us to search for something; instead, they will buzz or notify us with solutions to our potential problems.
Proactive response: Without waiting for us to act, these apps will act on our behalf.
Task Automation: The software or algorithm of the app is flexible enough to allow either users or the app itself to set up if/then commands for different applications and services.
Communicate on your behalf: The app predicts with whom you want to communicate and what you are going to say, they do the same saving your efforts. While doing so the recipient of the message thinks that they are communicating with you and not with the app. However, when both parties are using software agents for communication, then it is simply a software-to-software communication in context.
Bring ease to the users: Before you take any actions, the app predicts what you need thereby keeping it ready. Thus, users have to press a single button to get the action done instead of following a multi-step process to execute the same task.
Acts as your personal assistant: The app is capable of doing something necessary at the right time without bothering to notify you in advance.
