The Medicare AI incident: what's new, what's old, and what it means for risk appetite
What the Medicare AI agent incident tells boards and risk leaders about setting AI risk appetite.
Read on altisconsulting.comInsights
Articles on AI readiness, AI governance, semantics and analytics engineering.
On altisconsulting.com
AI needs context, not just data
How to get AI to interpret your data the right way, by adding meaning and context to what you already have.
Read on altisconsulting.comTrust by design: why AI fails when meaning is unclear
Why unclear meaning is behind so many AI failures, and how to design for trust from the start.
Read on altisconsulting.comAI-ready data: you're more ready than you think
Why getting value from AI doesn't need perfect data, and how to start with a data set you already trust.
Read on altisconsulting.comOn this site
Derive It Once, Use It Everywhere: Introducing the Derived Meaning Store
A practical approach for storing LLM-derived meaning so it becomes stable, governed and reusable across your analytics pipeline.
Read articleTwo Meanings of "Semantic Layer" and Why Both Matter in the Age of AI
How analytics and knowledge management are converging in the AI era. Exploring the analytics meaning vs the ontology meaning of semantic layers.
Read articleSemantic Layers, MCP Servers, and the Fear of Non-Determinism
Exploring if, how, when, and where GenAI actually belongs in Data and Analytics through semantic layers and MCP servers that bring determinism back to LLM-powered queries.
Read articleSeries
For data and analytics teams
Analytics Engineering Today
My LinkedIn newsletter for the data community in Australia and New Zealand. It covers dbt, Snowflake, modelling and semantics in practice.
Subscribe on LinkedIn
2025 series
#DMBOKwithMeagan
A daily series from 2025 working through key areas of the DMBOK. Each post turned data management theory into practical advice.
Browse the archive on LinkedIn