Long-form analysis of how AI is reshaping enterprise operations, covering topics such as expense fraud controls, integration platforms in the agent era, and data retention inside AI systems. Each issue states a clear thesis, cites specific data points and gives executives concrete recommendations.

Weekly essays on why AI initiatives at growth-stage startups fail for data governance and platform reasons rather than model reasons. Each issue uses concrete incidents, such as stale notebook pipelines, misleading catalogue descriptions and unmanaged documents, to explain the failure and what to change.

Essays by a former grocery retail data leader who now advises boards on data and AI strategy, governance and regulation. Each issue uses concrete experience to challenge common assumptions about AI value, compliance claims and data practices.

Essays on business intelligence and data governance that use stories and analogies from architecture, firefighting and magic to make their points. Readers get practical perspective on certified datasets, self-service BI and managing a data team's workload.