DataOps Committee

DataOps is a set of practices that aims to deliver trusted and business-ready data to accelerate the journey to build AI-powered applications.

The DataOps Committee in LF AI & Data is is a global group that consists of participants from various geographies focussing on:

  1. Identify Projects and tools in DataOps Space and get the community exposed to how these DataOps tools work together and where to use in the pipeline (with pros and cons).
  2. Exposure to industrial approaches for dataset metadata management, governance, and automation of flow.
  3. Understand usage of DataOps tools and practices through industrial use cases (by domain). Identify gaps in the use case implementation and discuss solutions to bridge the gap.
  4. Exposure to tools and technologies that can help control the usage of data and securely access it across the enterprise in a cloud-native platform.
  5. Provide an opportunity for committee members to perform research in the DataOps space.
  6. Educate the community about new developments in the DataOps space.