Context and assignment
Development of AI-based tools for the IT department and business units.
Multiple data science use cases: chatbots, intelligent email processing, exploitation of text and image data, voice control, image recognition, monitoring. Support and training of junior Data Scientists.
The challenge
What was at stake
For EDF, the assignment covered: “Development of AI-based tools for the IT department and business units”. This kind of programme involves business departments, IT and data teams at the same time: it has to deliver quickly without weakening existing systems, and leave behind practices that hold once the assignment ends.
The relationship
Visian
EDF (160,000 employees) works with Visian on data science and building-related innovation.
Expertise involved: Data science, computer vision, NLP, MLOps, MVP development.
Deliverables
- Smart building and space management
- MVP development for the LumiLab
- Model industrialisation and monitoring
Team and duration
Duration, team and scope
- Duration: multi-phase engagement.
- Team: a multidisciplinary Visian team, sized to each phase, covering data science, computer vision, NLP, MLOps, MVP development.
- Scope: Smart building and space management; MVP development for the LumiLab; Model industrialisation and monitoring.
Approach
How Visian worked
- Scope: workshops with the departments involved, assessment of the existing set-up, prioritisation and deliverables approved in steering committee.
- Build: delivery in short iterations, shared milestones and project governance with the client teams.
- Handover: adoption support, documentation, skills transfer to in-house teams and move to run.
Results
Measured results
Scope
Methods and technologies
Expertise involved