Talk: Machine Learning Pipelines for high performing Data Science teams

When analysing the work of Data Scientist teams, we discover that very often the actual machine learning related activities take very little time in the whole process. Most of the efforts are spent on building proper pipelines to facilitate adequate workflows. This is motivated by the desire of achieving repeatable processes enabling teams to get feedback faster and gain the business results quicker.

As the cloud is a standard tool for any production deployment, experimenting may require fewer resources. The teams are then in need of the hybrid solution that would be aiming into the more seamless experience. In this briefing, Barbara will present the current ecosystem of the tools supporting building machine learning pipelines to aim into the effective Data Science teams’
performance.