Next Generation of Applications – Intelligent Apps

Intelligent apps use historical and real-time data from user interactions and other sources to make predictions and suggestions, providing individual and adaptive user experiences.

The next generation of mobile applications will result from the collision of multiple worlds: when application development is matched by artificial intelligence, the Internet of Things and big data analytics are the result of intelligent apps. Simply put, these are apps that constantly learn from user interactions and other data sources to make them more relevant and useful.

Features of smart apps

Chatbots, virtual assistants, and recommendation engines are just a few examples of smart applications on e-commerce sites. Although it is difficult to develop a complete definition of smart apps, they have several specific features.

Intelligent applications combine and process multiple data sources – such as IoT sensors, beacons, or user interactions – and turn a large number of them into valuable insights.

Contextual and relevant
Intelligent apps make the best use of a device’s features to provide highly relevant information and suggestions quickly. The Apps Users will no longer have to go to their application. Instead, apps will come to them.

Continuously adapting
Thanks to machine learning, intelligent apps consistently improve their productivity.

While anticipating user behavior with predictive analytics, smart applications offer personalized and actionable suggestions.

Progressive Web Applications (PWA) is rapidly blurring the line between local applications and mobile web applications.

While these are just a few of the uses, it’s clear that the next generation of apps provides great opportunities for companies looking to reap the benefits right now. Before moving on, though, companies should start by deciding how decision-making can be improved or what business processes need to be streamlined. Ready to start exploring the sweet spot of your company’s smart app?

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