Applying ML in Trustpilot: Lessons Learned when MLOps Wasn't Even a Thing

Do you want to start tackling Machine Learning Operations (MLOps) and know more about it? Or do you want to find more data engineering and MLOps solutions for your business needs? In this talk we will be dealing with MLOps principles and practices, lessons learned and the architectural solutions implemented in Trustpilot.

In the last 3 years Machine Learning (ML) engineers, data scientists, and data engineers have joint efforts to bring Trustpilot to have a more robust and consistent use of artificial intelligence (AI) under MLOps principles. From identifying and defining MLOps gaps within the data science journey and listening to business needs, this joint collaboration effort resulted in the creation of the MLOps infrastructure within the Google Cloud Platform (GCP).

As a result, the entire ML journey has been drastically improved, easing models prototyping, data retrieval processes and lowering models development and deployment time from months to weeks.