Newsletter Archive
Every past issue of the DataGOL newsletter, in one place.
The archive
Filter by topic or search for a subject. Click any issue to download it.
The four layers underneath every AI agent running in production
Context graphs, ontology, agent factory architecture, and AI-ready data, explained in plain terms. See how each layer builds on the last so every new agent ships faster and costs less.
Agents in production: delivering business outcomes
Six DataGOL agents that forecast revenue, flag churn, and close support tickets on governed data. Plus the three things that break agents in production and the industry news worth your time.
Meet DataGOL agents and attend DataGOL events
A tour of DataGOL’s AI teammates for analysis, SQL, charts, and customer success, a reading list for agent builders, and dates for our CTO and CDO roundtables.
Path to becoming an AI-native company: the 10 pillars of AI infrastructure
The 10 pillars of production-grade AI infrastructure, from unified data foundations and native context to evals, guardrails, and one shared platform for analytics, agents, and apps.
Context, MCP and governance: the foundation of AI in production
Why AI needs shared context and built-in governance to be trusted in real operations, and how DataGOL workbooks now work as MCP endpoints agents connect to directly.
Why the traditional data stack failed for AI
The three flaws that kept the modern data stack from powering AI, and how one intelligence layer connects your systems, standardizes business logic, and builds governance in from day one.
DataGOL 2025 in review
Everything DataGOL shipped in 2025: out-of-the-box AI agents, faster BI with alerts, smarter workbooks, an AI-native lakehouse, and pipeline orchestration with end-to-end lineage.
See what these ideas look like on your data
DataGOL connects your systems, keeps definitions and permissions consistent, and runs governed agents on top. Start a free trial or talk with our team.