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Data integration

Best Data Lineage & Audit Trails Services for Enterprises

Learn how to choose the best Data Lineage & Audit Trails Services for enterprises with practical comparisons and insights on compliance and ROI.

by Datavid

Marklogic

How MarkLogic 11/12 Improves Performance and Reduces TCO

See how MarkLogic 12 TCO (Total Cost of Ownership) improvements boost performance, cut long-term costs, and ready your data platform for AI.

by Kurt Cagle

policy assistant blog post featured image

Data compliance

Policy Compliance with AI: From Burden to Advantage

Discover how policy compliance with AI improves interpretation, enforcement, and audit readiness across healthcare, life sciences, and finance.

by Avinash Dixit

Marklogic

Beyond ML10: The Business Case for a MarkLogic Upgrade to 11 or 12

Prepare for the MarkLogic 10 sunset. Discover why a MarkLogic upgrade to 11 or 12 reduces risk, cuts costs, and unlocks AI-ready features.

by Kurt Cagle

Data management

FAIR Data Principles: The Secret to Responsible AI Adoption

Discover how FAIR data principles (Findable, Accessible, Interoperable, Reusable) enable responsible AI adoption and prevent costly AI project failures. 

by Tim Padilla

Knowledge graph

Your lakehouse isn’t AI-ready (until you add a knowledge graph)

Discover how to transform your Microsoft Fabric, Databricks, or Snowflake lakehouse into an AI-ready platform with a semantic layer using Datavid Rover.

by Balvinder Dang

semantic layer foundation for ai readiness

Data semantics

How the Semantic Layer accelerates AI data readiness

Unlock AI-readiness across your enterprise. Learn how the semantic layer connects & enriches data to power agentic AI workflows - no need to start over.

by Balvinder Dang

Abstract representation of AI readiness in enterprise data systems

Ai and llms

6 considerations to make your enterprise data AI-ready

Is your enterprise data AI-ready? Use this 6-point AI readiness checklist to ensure your data is structured, contextualized, and traceable for agentic AI.

by Tim Padilla