Datavid

Datavid The data intelligence company for global enterprise

Datavid helps large organizations make the most of their data by extracting and structuring valuable information from unstructured data: PDF, OCR, Word documents, emails, XML and HTML, data lakes, and more. Datavid optimizes your data solution for cost efficiency by making full use of your existing infrastructure, as well as working with a network of trusted partners who can solve complex data problems effectively.

Agentic AI Use Cases in Regulated Industries
03/09/2026

Agentic AI Use Cases in Regulated Industries

Six agentic AI use cases in regulated industries, scored by autonomy, evidence, and data prerequisites, plus how to sequence your first deployment.

The Company Brain for Enterprise AI: How Semantic Context Powers Reliable Agents
01/09/2026

The Company Brain for Enterprise AI: How Semantic Context Powers Reliable Agents

AI agents need more than data. Discover how semantic context, knowledge graphs, and governed knowledge build a trusted foundation for enterprise AI.

FAIR Data Principles in Life Sciences: The Cost of Delay
27/08/2026

FAIR Data Principles in Life Sciences: The Cost of Delay

Delaying FAIR data principles in life sciences can slow AI features, data reuse, and product delivery. See the evidence and when waiting is defensible.

Integrity screening for existing editorial workflows
25/08/2026

Integrity screening for existing editorial workflows

Integrity screening should fit editorial workflows, connect data, and reduce technical burden across digital publishing platforms.

Data Readiness for AI: The Semantic Layer Most Enterprises Miss
20/08/2026

Data Readiness for AI: The Semantic Layer Most Enterprises Miss

Data readiness for AI requires more than data quality and governance. Learn why semantic readiness is the missing layer for production-grade enterprise AI.

AI Data Governance: Foundation for an AI-First Enterprise
18/08/2026

AI Data Governance: Foundation for an AI-First Enterprise

AI data governance turns a data estate into a foundation an AI-first enterprise can operate on. See the three architectural foundations that make it work.

Why trust, not model capability, will define enterprise AI success
13/08/2026

Why trust, not model capability, will define enterprise AI success

Discover why trusted enterprise AI depends on governance, semantic context, explainability, and connected knowledge, not model capability alone.

Decision Governance: The Next Layer of Enterprise AI
11/08/2026

Decision Governance: The Next Layer of Enterprise AI

Learn how decision governance extends data governance for AI-driven decisions, with traceability, policy alignment, human review and audit-ready outputs.

How Semantic Architecture Makes AI Decisions Traceable
06/08/2026

How Semantic Architecture Makes AI Decisions Traceable

How semantic architecture delivers AI decision traceability: what a decision record must contain, and how ontologies and GraphRAG carry it.

AI-Readable Data: The Life Sciences AI Advantage
04/08/2026

AI-Readable Data: The Life Sciences AI Advantage

Learn what AI-readable data means in life sciences and how ontologies, knowledge graphs and semantic enrichment make data ready for trusted AI.

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