AI applications: integrating artificial intelligence into your software

Reworking software means taking over existing code to correct it and make it evolve.
We start by accessing the code, then carry out a free maintainability analysis.
Depending on the quality of the code, improvements are made using the same technology or part of the code (often the back-end) is overhauled.
Changing service providers allows you to unlock fixes when the current team is no longer available.
Updating a language or migrating a technology improves performance and security.

AI application Integrating artificial intelligence into software is no longer the preserve of “off-budget” projects, and that's precisely what this video clarifies, with benefits and concrete examples.

Why integrate AI into an application today?

The initial message is simple: with the advent of artificial intelligence tools, the integration of AI has become much less costly than ever before. Against this backdrop, Iterates explains that it integrates AI into a large proportion of its projects, including web applications and mobile applications.

If you're planning an application project incorporating artificial intelligence, find out more about our service dedicated to integrating AI into a web or mobile application.

AI in software: automate tasks and better assist the user

In the video, AI is presented as a “layer” added to an existing classic software for :

automate tasks in the application, automatically,
better support for the user answering their questions, proposing a chatbot, and, more generally, to help it move forward more quickly.

For the uses mentioned above, discover our service dedicated to integrating a chatbot into a web, software or mobile application.

Benefits: productivity, fewer errors, more accurate analyses

The benefits cited are highly operational:

productivity gains for the company and/or users,
avoid mistakes, particularly those related to double encoding,
carry out very precise analyses to make better decisions.

(In general terms: AI often brings the most value when it is used for repetitive tasks, controls, synthesis or contextual assistance - where human time is most “eaten up”).

Discover our solutions to automate thanks to AI.

Can AI be “trained” on your use case and your data?

The video emphasises one point: AI can be adapted to a specific application. practical case. In practical terms, this means defining what is expected of AI :

“when X happens, you answer Y”,
and/or “you do this action for the user”.

The aim, as explained, is to obtain answers to the following questions relevant and actions useful at the right time.

Concrete examples: coaching, medical, industrial defect detection, etc.

Several use cases are cited to illustrate what an AI application can do:

Coaching An application in which AI helps users to ask themselves questions and reflect on themselves and their interactions.
Medical a sector described as buoyant, with opportunities to feed AI via data, and photos or scanners, to better recognise situations/“problems”.
Automotive industry (paintwork / bodywork) an application which, on the basis of photos, It could detect defects (e.g. bumps on the metal that are difficult to see), in order to identify problems. before to the customer, and reduce returns.

(To clarify: these use cases often fall into two categories - assistance (dialogue, guidance) and vision/analysis (detection of anomalies in images).

AI + database: integrating AI into your processes

The video also talks about integration “in the process”: linking a database to the AI, and build the application so that the AI uses the useful information to better assist the team or customers.

Discover how to integrate AI into your web application database and how to integrate AI into your mobile applications database.

Integrating AI into existing software: reworking the project and adapting the code

An important point: AI integration is not limited to “creating from scratch”. If you already have in-house software, developed by yourself or a service provider, it is possible to add integrating AI.

Iterates explains power integrating ia into an existing project, adapt its code and add artificial intelligence to generate productivity gains for you and/or your customers.

Starting up a project: initial discussion, quick quotation, design and development

The approach described is “concrete” oriented:

an initial discussion to understand your business and your needs,
a offers fast,
then the next logical step: application design, development, and integration of AI where it makes the most sense (team performance/customer support).

The next stage

Take a meeting with an expert in integrating AI into an application to discuss your project
Or contact our IA application team using our form online

Balance sheet

Integrating AI into an application is said to be more accessible today than ever before.
AI can automate tasks in the app and better assist the user (chatbot, answers).
Benefits cited: productivity, fewer errors (double coding), more accurate analyses.
The AI can be adapted to the use case (expected responses, actions triggered).
Examples: coaching, medical (photos/scanners), defect detection via photos in industry/auto.
AI can also be added to existing software by transferring and adapting the code.

Tell us about your project

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