Remove Data Silos Remove DataOps Remove Document
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Take the Route to AI Success with DataOps and MLOps

DataRobot Blog

The survey asked companies how they used two overlapping types of tools to deploy analytical models: Data operations (DataOps) tools, which focus on creating a manageable, maintainable, automated flow of quality-assured data. If deployment goes wrong, DataOps/MLOps can even help solve the problem. Survey Questions.

DataOps 52
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9 data governance strategies that will unlock the potential of your business data

IBM Journey to AI blog

Transparency All participants must understand how data-related decisions are made and how data controls work. Policies, procedures and standards must be communicated, and stakeholders should have access to resources and documentation. Auto-generated audit logs : Record data interactions to understand how employees use data.

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Enterprise Analytics: Key Challenges & Strategies

Alation

Enterprise data analytics integrates data, business, and analytics disciplines, including: Data management. Data engineering. DataOps. … In the past, businesses would collect data, run analytics, and extract insights, which would inform strategy and decision-making. Business strategy. Analytics forecasting.