How does AI for mobile app development work?


AI is proving to be one of the hottest topics in the business and digital world. Top leading tech companies and industries are interested in AI application development. The speed with which the craze and development of artificial intelligence is increasing is admirable because AI is everywhere these days. But how does AI help mobile app development Toronto?

From live chat box to prediction analysis, AI addresses cutting-edge ideas to provide better customer services and reassess business procedures with today’s modern technology. Artificial intelligence and machine learning are the new era technologies that are causing unexpected changes in the way a business operates.

AI thinking describes that a computer will perform a task that typically requires a human to complete. Amazingly, AI is about voice recognition as well as interpretation, describing that a program could function like a human in activities and thoughts. The application of artificial intelligence in mobile app development Toronto can be categorized into weak and strong levels.

Although the AI ​​accounts for less errors in the complete procedure, easily performs deadly tasks, and smoothly distinguishes the location in real time; AI decreases the amount of creativity and innovative ideas of a process that a human could think of. So, AI has its pros and cons. But we can’t deny the fact that this is the future of mobile application development and the technology industry.

Types of AI

AI is a very provocative subject, on which we have seen many intense discussions. But generally speaking, artificial intelligence can be categorized into 4 types. They are –

1. Reactive machines:

This IIt is the first type of AI that reacts to the current scenario by analyzing all possible moves and then selects the best one. A well-known example of a reactive machine is IBM’s chess program, Deep Blue, which defeated chess champion Garry Kasparov. This program analyzes its own movements as well as those of its opponent and selects the most tactical one. But, it cannot store previous experiences. Another example of such responsive AI is Google’s AlphaGO.

2. Theory of mind

In this type of AI, the term psychology is taken to mean understanding the desires, beliefs, and intentions of others that influence one’s decision. An example of this type of AI does not yet arise. This type of artificial intelligence would understand you and then make a decision.

3. Limited Memory

These artificial intelligence systems do all the discussed things that the responsive machine does, but they also store memory. These Ai are used in self-driving cars which use past observation to form a prediction such as car lane change etc. But memories are not permanently stored. They are stored for a limited time.

4. Self-awareness

It’s the kind of artificial intelligence you see in movies that has self-awareness, self-awareness, a sensitive feeling towards others. At the moment, we are very far from doing this kind of AI.

Importance of artificial intelligence in real life

Artificial intelligence plays a very important role in humanity. It is expertise that can bring more output with less input. Primarily, the AI ​​will perform tedious tasks, but it will also improve efficiency. Farmers can use robots to plant and grow seeds and then use drones to tend their field. This will exponentially increase the output. Similarly, progress is also being made in other areas such as health and education. But it will also create so many high-skilled jobs and make things much cheaper for people.

Artificial intelligence will affect and transform all industries on Earth such as manufacturing, healthcare, agriculture and many more.

What are examples of AI?

machine learning

In this technology, the machines act without the need for programming. They perform by studying past experiences and then predicting movements.

A realistic example of this type of AI can be a robot that analyzes the stock market by looking at previously recorded trades and then predicts new ones that will be successful in the coming days.


Developing mobile apps is a long process; programmers have to spend hundreds of hours coding something similar. Artificial intelligence will ease this burden by creating an infrastructure that programmers can work on. A company has launched the latest AI testing bot which will test different mobile apps. Simply put, it will help developers test smartphone apps more efficiently and get more out of quality assurance by doing less.

Industrial vision

Artificial intelligence is used to provide a machine with the skill to capture and analyze visual information. So an AI can witness and listen to things just like a human. Then analyze and react based on the information. The humanoid Sophia is powered by an artificial intelligence that can see and hear things and a facial recognition function is included with artificial vision to better recognize the world.

Speech Recognition

Currently, we have a lot of mobile apps that use artificial intelligence to understand your voice. You can also unlock or give commands through this feature. Apple has become the pioneer in this field as it has long associated Siri with Apple mobile gadgets. It can identify your voice and personalize the phone for the best user experience.


Chatbots are AI-powered robots that can interact with users just like humans. They learn through past practices. The basic idea behind this product is that if individuals do not wish to interact with anyone other than humans, they can use these chatbots. Bold360 and LivePerson are several popular AI-powered chatbots.

These are just a few popular artificial intelligence applications that are being used in today’s market.

How can you improve user experience and mobile app development?

AI helps to make a better decision

Artificial intelligence can analyze large chunks of data that humans cannot. Imagine that there is a large amount of data on consumer response to the app. You can create a program to get all these answers and comments. But artificial intelligence can be a game-changer by reading them in a human way and granting developers a superior conclusion. Later, this can be used to make an up-to-date decision.

User engagement

Most smartphone apps fail due to their lack of user engagement. Artificial intelligence is currently being used to analyze user behavior to better understand the consumer. AI can tell smartphone apps what users are looking for and how they use their apps. Professional developers can use this information to make changes to improve user engagement.

Personalization with artificial intelligence

The smartphone is already marketed as being tailor-made for each user. But most apps are the same for everyone. There isn’t much customization on an individual level. Recently, Flutter mobile apps have enhanced the user experience with their user-customized apps. The AI ​​mainly records the behavior of the user and then modifies its application or suggests modifications according to the practice of the user for a better experience.

Smartphone can better connect with users

As artificial intelligence can analyze vast amounts of data, smartphone apps can connect with consumers on a deeper level. Applications can store user behavior and give them more control over themselves. Amazon’s Alexa and Apple’s Siri are good examples that do the same thing.

Contextual UX

A smartphone can find your location; however, this does not affect the user experience at a significant level. But the AI-based algorithms can use the user’s location along with various crucial aspects and then come up with user-centric recommendations and messages. For example, if you are traveling, the artificial intelligence of your smartphone can suggest applications that can be useful to you or send you a notification informing you that there is no gas station at 100 odd km.


So by now you must be aware of how AI is affecting user experience and mobile amazingly application development. You have also gained some knowledge of how it works on mobile apps. However, the integration of artificial intelligence into mobile applications is still in its infancy. In the future, you can witness many transformations that can happen here. Your entire user experience can be enhanced through AI and then used in various mobile apps. We all need to see where AI can take user experience and mobile app development.

Now is the perfect time to engage your customers in AI-powered mobile apps. iQlance is the best mobile app development Companies Toronto. They have an expert team that has cutting-edge capabilities and delivers next-level mobile apps by integrating AI capabilities with machine learning as well as deep learning techniques.

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