Data & AI · Article
Context engineering is becoming an enterprise data discipline
Reliable agents need more than model access. They need trusted context, permissions, metadata and a clear way to know which information should shape an action.
Data & AI · Articles
Articles for Data & AI
Concise analysis of software decisions, operating questions and implementation trade-offs. This focused collection applies the format to data & ai technology decisions.
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Data & AI · Article
The small AI governance pack every team should have
Responsible AI does not begin with a thick policy. It begins with a few documents that help people make consistent decisions while the work is still moving.
Data & AI · Article
A better starting point for privacy engineering
Decisions about privacy engineering improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Article
A calmer way to evaluate business intelligence
Decisions about business intelligence improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Article
A practical review of vector databases for Data & AI leaders
Decisions about vector databases improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Article
How to frame the next model monitoring conversation
Decisions about model monitoring improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Article
How to make analytics engineering useful after the launch
Decisions about analytics engineering improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Article
How to reduce friction in MLOps
Decisions about MLOps improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Article
Modern data platforms: the operating question to answer first
Decisions about modern data platforms improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Article
The evidence a semantic layers plan should produce
Decisions about semantic layers improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Article
The hidden operating cost of weak data quality management
Decisions about data quality management improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Article
The minimum governance needed for data catalogues
Decisions about data catalogues improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Article
The ownership decisions behind effective AI governance
Decisions about AI governance improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Article
What a useful master data management decision should clarify
Decisions about master data management improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Article
What success should look like for lakehouse architecture
Decisions about lakehouse architecture improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Article
What to fix before adding more generative AI adoption technology
Decisions about generative AI adoption improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Article
Where data governance programmes usually become difficult
Decisions about data governance improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
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