, to how we develop and share ML artefacts and insights. We have one for ingestions, one for data storage and processing... and one for insights & ML tooling. We have one data engineering talent pipeline for the whole tribe, where placements into specific squads...
, to how we develop and share ML artefacts and insights. We have one for ingestions, one for data storage and processing... and one for insights & ML tooling. We have one data engineering talent pipeline for the whole tribe, where placements into specific squads...
, to how we develop and share ML artefacts and insights. We have one for ingestions, one for data storage and processing... and one for insights & ML tooling. We have one data engineering talent pipeline for the whole tribe, where placements into specific squads...
insights and ML across the group. Our main users are the data scientists and analysts who sit inside the business units... everything from how we ingest and store data, to how we develop and share ML artefacts and insights. We have one for ingestions, one for data...