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Technology Blogs

Build Compound AI Systems with own models and Data to unlock the value of the data and Integrate AI into decision making

Best practices in Vendor Engineering for Platform Engineering

Best practices in Vendor Engineering for Platform Engineering

Discover best practices in Vendor Engineering for Platform Engineering, focusing on optimizing vendor relationships and driving platform success

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Your AI Isn't Failing, Your Data Foundation Is

Your AI Isn't Failing, Your Data Foundation Is

AI programmes stall on scattered data, mismatched definitions and unclear ownership. The order of work: fix the data, build the context layer, then ...

The Real Problem with Agentic AI Isn't the Agent, and It's Not Your Data Either

The Real Problem with Agentic AI Isn't the Agent, and It's Not Your Data Either

Agentic AI breaks on business context, not intelligence or data. Why agents need a system of record for meaning: what data means, who owns it, which ...

How NexaStack and ElixirData Enable a Private AI Assistant Powered by an LLM Council

How NexaStack and ElixirData Enable a Private AI Assistant Powered by an LLM Council

From single-model answers to governed, multi-model decision intelligence: how a private LLM council debates, scores blind and returns options with ...

2026 Will Be the Year of Context and Ontology

2026 Will Be the Year of Context and Ontology

Models were never the bottleneck. Once AI acts, it needs context and ontology: a shared, executable picture of business reality and what is allowed.

AI as the

AI as the "Miracle Material" of Our Era: Nine Lessons for Builders

Steel shaped the Gilded Age. AI is the structural material of this one. Nine lessons for builders and buyers on context, coordination and governance.

Your AI Agent Didn't Fail, Your Infrastructure Did

Your AI Agent Didn't Fail, Your Infrastructure Did

AI agents fail because organisations lack infrastructure for meaning, memory and governed execution. The schema-truth gap and its four root causes.

Augment Data and Analytics WorkFlows with Agentic AI

Real Time, Dynamic Insights to adapt to evolving questions and user interaction and Data Management Delivered with Agentic and decision Workflows to revolutionise enterprise decision-making capabilities

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