What Is AI Usage Data. How Enterprises Can Collect It.
Learn what AI usage data includes, how enterprises collect and track it, and why centralizing usage metrics is key to measuring AI adoption and ROI.
This first-of-its-kind survey asks data engineers and other data professionals about the State of Data Operations. The resultant report will provide a snapshot of the DataOps function in today’s companies. It will explore what is working, and where improvements need to be made to help companies most effectively use their data.
Immediately after taking the survey, you’ll receive an assessment your company’s current DataOps based on our model and your responses. Respondents will also be the first to receive the complete survey results, so they can benchmark their company against peers and learn more about best practices. We’re excited to learn about your experiences and help you accelerate time to value from your data! 
Learn what AI usage data includes, how enterprises collect and track it, and why centralizing usage metrics is key to measuring AI adoption and ROI.
Reusable data products unify databases, PDFs, and logs with metadata, validation, and lineage to enable join-aware RAG retrieval for reliable GenAI applications.
Governed self-service data embeds metadata controls, quality guardrails, and access policies. This enables business users to explore and transform data in no-code while preventing metric drift.