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 - Beijaflore Group
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.
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