The virtualisation of the economy, the rapid evolution of technologies and hyper-competition have created fertile ground for Artificial Intelligence. Data has as increasingly large presence as a business. driver The race to make data intelligible—in the name of growth, performance and competitive advantages—has become a 21st century gold rush.
Graphène Advisory
Our mission :
Exploiting your company’s data with AI to create the businesses of tomorrow
Graphène Advisory’s strategy is based on two key areas: -Expertise and multidisciplinarity & -Comprehensive overviews of AI projects (technology, algorithmic solutions, security, governance and compliance)
Graphène Advisory’s value proposition is made up of 3 offers:
Experimentation
Using machine learning to develop an MVP to seize business opportunities or handle operational issues
Industrialisation
Reconciling existing infrastructures with AI experiments. Defining and implementing a suitable integration plan.
Performance
Change Management. Identification and diagnosis of performance indicators in AI initiatives.
Some of our achievements
A leading insurance company needs an audit and a redevelopment of its internal ChatBot because the processing and resolution of business claims is not efficient.
Réalisations :- Audit of the existing solution, its architecture and the technologies used.
- Integration and adaptation of the ChatBot to the existing client infrastructure (Algorithm and architecture)
> Adaptation of the existing solution (new algorithm more efficient), adaptation of its architecture and adaptation of the technologies used.
> Implementation of good practices for the development of MVPs
- Integration tests: integration into the existing architecture
Results: The new bot has improved performance in processing applications.
An international cosmetics company wants to set up a recommendation engine to customize marketing offers using CRM data.
Objectives: Enriching the customer knowledge and customize marketing offersAchievements:
- Framing for the development of the solution (ideation, federation and experimentation)
- Development of specific algorithmic solutions.
> Preparation and cleaning of large volumes of data
> Recommendations engine
- Integration of solutions into the existing and complex architecture. Visualization of the results.
Results: an optimized model with a precision of more than 80%, which allows to customize the offers
Aerospace company wants to improve its predictive maintenance and measurement solutions for existing KPIs
Réalisations :- Definition of the perimeter of diagnosis and IA initiatives
- Diagnosis, performance measurement and identification of KPIs
- Recommendations
- Implementation: development of proposed solutions and integration.
Newsletter
Please, fill in your name
Please, fill in your email
This email address does not seem valid
Une erreur s'est produite lors de l'enregistrement.
Your request is not complete
The requested language does not exists
You are already subscibe, do you wish to unsuscribe
Yes, remove my email address
Yes, remove my email address
You have been removed from the list
Your email has been saved