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Operationalizing AI With Forward Deployed Engineering

Ai and genai

Scaling enterprise AI: the role of forward-deployed engineering in operationalizing AI

Most AI pilots never ship. See why operationalizing AI is a delivery-model problem and how forward deployed engineering gets pilots into production.

by Datavid

Knowledge Graph for AI Agents: Running One in Production

Ai and genai

Knowledge graph for AI agents: what it takes to run one in production

What a knowledge graph for AI agents costs to run: ownership, maintenance, lakehouse fit, and where graphs earn their cost. A production operating guide.

by Datavid

Ai and genai

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.

by Datavid

Central AI brain and six-icon capability diagram (document search, knowledge graph, automation, Q&A, certification, analytics), rendered in glowing teal outlines on a dark navy background.

Ai and genai

AI agents don’t just need data. They need a company brain.

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

by Clive Smith

FAIR Data Principles in Life Sciences: The Cost of Delay

Ai and genai

The real cost of delaying FAIR data principles in life sciences

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

by Datavid

Integrity screening for existing editorial workflows

Trust signals

How publishers can add integrity screening without disrupting editorial workflows

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

by Elaine Ellerton

Data Readiness for AI: The Semantic Layer Most Enterprises Miss

Ai and genai

Data readiness for AI: why most enterprises aren't AI-ready yet

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

by Datavid

Data governance and quality

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.

by Datavid