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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

Knowledge graph

Past & future use cases of Knowledge Graphs and AI integration

Explore real-world transformations with knowledge graphs and AI integration across industries. Learn about the synergy between KGs & AI-LLMs!

by Sweta Kumari

Data management

Gen AI and Machine Learning for business applications

Explore how emerging technologies like Generative AI and Machine Learning can transform business applications through data platforms & unified data layers.

by Tim Padilla

Merging Large Language Models with Datavid

Knowledge graph

Merging LLMs and Knowledge Graphs

Discover how LLMs and Knowledge Graphs revolutionise data intelligence and search capabilities in this insightful blog post.

by Deepshikha Raghuvanshi

Ai and llms

How to integrate LLMs with your private knowledge platform

Learn how to integrate LLMs with a private knowledge platform in this guide. Dive into AI and discover the critical factors for a successful LLMs integration.