N°02
Data
Organize & Plan
IA & Gen AI

N 2 Data Transformation, organize and plan

AI used as a powerful driver for real growth

The many methods and tools of data Science and AI make it possible to address any business challenge in an effective, robust, and ambitious way. These business challenges are the central focus of our technical teams : the usability of an AI product and its adoption by end users are the most important metrics.

the
benefits

01

Overcome key obstacles

02

Fast-track your growth and expansion

03

Stay competitive

Our
Approach

Step #1

A clear need and
key success factors

An AI application only has value if it addresses a real and clearly defined need. That’s why we systematically involve end users from the very start of the project to understand their challenges, pain points, and the improvements they expect from the application. These gains become the key success factors that validate the relevance of the solution.

Step #2

A precise action
plan

An AI application must be designed with precise and rigorous methods. That’s why we always establish a clear plan for implementation, testing, validation, and deployment of our AI solutions.

Step #3

A powerful and relevant
AI product

Following this plan, our technical experts handle the implementation of the application according to best development practices. Because yes, AI and ML projects are also (and often primarily) development projects.

Step #4

Active and engaged
users

Too many AI projects tend to drift away from their ultimate purpose due to a lack of communication and clarity within technical teams. We make it a priority to foster constant interaction with the people for whom we develop these applications, ensuring they consistently meet their expectations and real-world use.

Step #5

A deployment capable
of scaling

The deployment phase is critical: it is what truly brings the application to life. We therefore leverage our 20 years of experience in deploying all kinds of Data Products to ensure that our AI applications can operate optimally in a production environment.

Step #6

Ongoing support

And finally, an AI application does not stop at its technological deployment. It must live and evolve over the long term. To that end, our teams support you throughout the entire lifecycle of the application: maintenance, feature enhancements, training for technical teams and new end users, replication across other domains, internal communication to C-Levels and stakeholders, as well as external communications.

#UseCase

The proof
In story!

Discover
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#NextStep

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