AI agents hallucinate on company data because of context, not the model. A symptom to cause to fix table for the four real culprits.
Why Your AI Agent Hallucinates on Company Data: It’s a Context Problem, Not a Model Problem
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Data & AI Engineering
Data Readiness for AI Agents: A Pre-Deployment Checklist
A data readiness checklist for AI agents covering lineage, freshness, access control, PII, schema stability and evaluation data.
What a $2M Splunk Contract Actually Buys
A budget holder’s guide to Splunk pricing: what the reported per GB/day rates mean, what a $2M contract covers, and how to run the lakehouse comparison with your own numbers.
Context Engineering for Enterprise AI Agents: Beyond Prompt Engineering
Context engineering for AI agents goes past prompts: retrieval design, chunking, memory, tool context and how each one fails.
RAG Guardrails: Stopping Agents That Leak or Hallucinate in Production
RAG guardrails that stop agents leaking or hallucinating in production, mapped to the specific risk each control removes.
Bronze to Gold in Practice: Making Fragmented Enterprise Data AI-Ready
A practical walkthrough to make fragmented enterprise data AI ready, from raw sources to a gold layer an agent can safely query.
Databricks Panther and Lakewatch: What Splunk Buyers Should Know
Databricks agreed to acquire the AI SOC platform Panther on 16 June 2026, its third security deal. Here is what that signals for Splunk renewals, and the vendor-neutral lakehouse groundwork worth doing before you pick anyone.
Agentic SIEM Explained: The Lakehouse Shift in Security
An agentic SIEM uses AI agents to detect, triage and investigate threats, not just summarise alerts. Whether those agents help depends on the security data layer underneath them.
End-to-End Data Engineering Is Broken: Here’s How Databricks, the Medallion Architecture, and AI Agents Fix It
AI cannot rescue a broken data foundation. End-to-end data engineering — source ingestion, Bronze/Silver/Gold, certified BI, and governed AI agents — is the discipline that turns raw enterprise data into intelligence executives actually trust. The future state isn’t data plumbing. It’s intelligence engineering.