March 30th – April 1st, 2021
Data Engineering & MLOps
Focusing on the practice, engineering, workflows and DataOps of data science
Brought by
Understand the Practice of Data Engineering in the Real World
As data science extends its reach across an enterprise, the need for better management, workflow, production and deployment practices increases. The challenges of deploying and monitoring models in production, managing data science workflows and teams, and understanding ROI are a few of the issues organizations wrestle with.
Learn best practices for effective data science management
Sessions in this broad focus area will look at uses cases, best practices, and stories from the field to show how to effectively incorporate data science practice into the wider business process. This focus area will look beyond data sourcing and modeling towards the many challenges teams need to overcome to effectively apply data science in their organization.
Some Current Data Engineering & MLOps Speakers
Some Previous Data Engineering & MLOps Speakers
Who Should Attend
Data Science is cross industry and cross enterprise, impacting many different departments across job roles and functions. This track is not only for data scientists of all levels but for anyone interested in the practice and management of data science, including: