Subject archive for "data-governance"
AI costs rise with data & infrastructure needs. Domino's guide offers advice on cost controls, productivity, governance & risk - to save you money.
By Yuval Zukerman4 min read
Controlling and tracking AI, data science and related compute costs are often manual and error prone, and require tagging specific infrastructure to distributed IT workloads. Domino.ai provides the governance guardrails necessary to reduce and control infrastructure costs, including expensive high-performance compute (e.g. GPUs) resources.
By Nikhil Jethava6 min read
Reproducibility is a cornerstone of the scientific method and ensures that tests and experiments can be reproduced by different teams using the same method. In the context of data science, reproducibility means that everything needed to recreate the model and its results such as data, tools, libraries, frameworks, programming languages and operating systems, have been captured, so with little effort the identical results are produced regardless of how much time has passed since the original project.
By Sundeep Teki8 min read
What is Data Governance?
By Sundeep Teki12 min read
Domino and Okera - Provide data scientists access to trusted datasets within reproducible and instantly provisioned computational environments.
By David Bloch8 min read
Subscribe to the Domino Newsletter
Receive data science tips and tutorials from leading Data Science leaders, right to your inbox.