L'Oréal started its global Beauty Tech transformation more than 3 years ago, launching a massive program to make the group the first beauty tech company in the world.

In the Tech accelerators, multiple use cases powered by AI are being built to deliver some cutting-edge tooling to the employers but also the clients. The Time to Market that is expected is extremely low, so how do we deliver complex software, fast, without scarifying neither their stability, nor their security of business value.  

Let me walk you through this passioned journey that led us to build a highly automated & industrialized delivery ecosystem, that made our teams concentrate on what’s most important: creating value for the users.

All of these use cases are built cloud native, on GCP, how did we design our environment strategy? How do we train our AI models?

What are the technical stacks that we use?

How did we automate EVERYTHING, from repo creation, IAM set-up, infrastructure… to application deployment, audit and testing?

How central was Infrastructure as code (Terraform) was in this ecosystem? And how did we manage to implement a real “everything as code” and an “everything as a service” for all our organization

How did GCP empower or limit all of our DevOps/CICD ambitions? What are the roadblocks that we came across?

If you want to know more about this and, join this session to discover more exciting topics!