With the advent of the Machine learning and AI, the apps received a new transformation in terms of intelligence. Next generation apps have brought intelligence to software, enabling users to interact with everyday devices in new ways. Nowadays apps could take the input from the user and make changes in the app by learning from the user and improve the user experience accordingly. Apps technology is developed to the extent that the data collection and analysis is done on the real-time bases and product offering is also done real time based on the data analyzed. So, let’s consider what intelligent apps are and in what areas they are applied.
The definition of intelligent apps
Intelligent apps are applications that use real-time and historical data from user interactions and other sources to make suggestions and predictions, delivering adaptive and personalized user experiences. To make user experiences high-end these apps bring together the power of prescriptive and predictive analytics, operational data, consumer data and cutting-edge technologies, with latest user-centric design and application development tools.
Intelligent apps use the power of machine learning and AI to engage with users in previously unimaginable ways. These apps have embedded AI and analytic technologies, creating the ability to act intelligently on the feedback the app receives from its environment. Aware of their performance and interactions with the user and other applications, intelligent apps autonomously learn, adapt, and discover patterns of behavior. As an intelligent app is used, it increases what it learns and uses predictive analytics to quickly adapt to the information it receives.
The typical features
Virtual assistants, chatbots and recommendation engines on e-commerce sites are just some examples of intelligent applications. Though it’s difficult to formulate a overall of their definition, they have a number of common features:
1. Intelligent apps are adaptive and could easily upgrade their knowledge as per their surroundings. They adapt quickly to new demands, offer more insight than before, owing to its sustained learning path, an ever evolving one.
2. Intelligent Apps work upon huge amounts of data, read and store human a vast array of human interactions, process it combined with sensory inputs and powered by IoT and come up with truly intelligent valuable insights or results.
3. Intelligent apps deliver predictive behavior based on user activity. Deep analysis enables not only personalization but also continuous changes in the app behavior too to serve the changing demands of differential usage pattern.
4. Intelligent apps could just by reading gestures, motions, speech inputs and biometrics, produce results and allow the user to do away with the need to use keys.
Areas of use
Education
Intelligent mobile apps are bringing learners closer to the sources of knowledge. These apps are empowering students to make notes in the form of speech and images, along with text format. They are also providing assistance in determining which formula/principle to consider for solving a problem.
Healthcare
AI-based intelligent apps are transforming healthcare. These applications are bringing better opportunities for both patients and medical practitioners and simplifying their interactions.
These applications are easing the path to find the best nearest doctor, book a consultation, keep reminder of medication, getting a basic knowledge of each medication, and more. Whereas, it is helping doctors with remaining updates with real-time status of consultations, assigning duties to staff, ensuring the availability of equipment, maintaining a proper temperature for medicines, and more.
Fintech
Another industry enjoying the finest results from the usage of intelligent apps is Fintech.
The Fintech industry is using AI-based intelligent apps for analyzing the past and present expenses of users and providing them with better budget-managing tips.
Also, they are giving insights about every stock’ history helping everyone with deciding whether to make an investment or not.
Energy sector
Energy sector is another area where intelligent application is making massive inroads. Whether we talk about storage capacities, mapping of energy usage, or autonomous grids receiving mammoth sized data from sources as different as wind, solar, tidal, or in failure mitigation and management saving loss of life and money, intelligent applications based on AI are showing the way forward.
Human Resource Management
Human Resource is one of the activities, which requires a lot of screening and going through a chunk of profiles to gather the required information. Intelligent apps help to take out all of the “worst” elements of everyday HR job (mundane screening, time-consuming paperwork, and data entry) as well as deliver powerful tools and insights to make the work of HR professionals better.
Media and entertainment
The digital marketing strategy has gone for overhaul with advent of intelligent applications. Content creation, duration, SEO are all integrating resilient and robust AI based technologies with intelligent apps as the keystone.
Wrapping up
Nowadays, AI is used to build intelligent apps that help organizations be more efficient and enrich people’s lives. Intelligent apps are touching all areas of our lives – Media, Technology, Healthcare, Finance, Lifestyle, etc., by implementing tasks with the highest accuracy. So, let’s see how these applications are going to make everything smart around us in the next few years.
