How to Implement Artificial Intelligence and Machine Learning in an Existing App?

Artificial intelligence is the ability of machines or computers to imitate human behaviour. It is the branch of computer science whose aim is to give machines the same intelligence, reasoning, communication and creative abilities as people.

Artificial intelligence is a broad field with many parts. Data science helps gather, categorize and process data; algorithms help understand and apply that intelligence; and then there is machine learning.

Machine learning is the part of artificial intelligence concerned with training systems that can make decisions. These systems are fed large amounts of data, use algorithms to process it and learn from it, so that when they are given new input they can make a decision on their own.

Using Artificial Intelligence / Machine Learning in your app

Artificial intelligence and machine learning now dominate the tech world, and adding them to an existing application can increase revenue. There are several ways to do this that improve the efficiency and usefulness of the application:

Reasoning

Reasoning is commonly used in apps that involve logic, from games to route planning and more.

Behaviour

Artificial intelligence can act as a security tool that spots unusual behaviour online and shuts down malicious attempts to abuse services or access data.

Personalization

Artificial intelligence and machine learning let your business gather and evaluate user activity to make more individual recommendations, suggesting goods or services based on each user’s behaviour.

Better search technology

Artificial intelligence and machine learning can tailor search results to each user by learning from their previous search queries and adjusting the results.

Better safety

Image and voice recognition technology can provide an additional layer of security for mobile devices.

Relevancy

Machine learning and artificial intelligence use data to deliver relevant details and advertising to users.

Integrating AI recommendation systems into existing applications is one of the most valuable ways to apply these technologies.

Automated Reasoning Techniques:

Automated reasoning techniques work on studying massive amounts of historical data and applying the resultant insights in solving the problem at hand.

Adapting to User Behaviour:

AI and machine learning have now evolved to learn user behaviour patterns and provide a more seamless app experience.

Voice Optimization:

Voice interfaces, from voice search to voice commands, are becoming a standard way for users to interact with apps.

Opportunities to Creatively Deploy Code:

Artificial intelligence and machine learning are not only adding meaningful features to applications; they are also changing the way developers write, test and deploy their code.

How AppsInAi can help

We build the AI layer, not the app itself. Your app stays as it is; we add the models behind it, such as recommendations, smarter search and assistants or image and voice recognition, and expose them through an API your app team calls. Book a free consultation, tell us what you want your app to do, and we will suggest the best approach.