GOVERNANCE & MDM · 3 min
Why Bayanat: trusted data and AI, explained by practitioners
What this publication covers, how it uses AI, and what you can expect every Tuesday.
Data and AI teams in Europe, the Middle East and Africa are asked to do three things at once: ship useful AI, keep their data trustworthy, and stay ahead of rules that keep moving. Most coverage treats these as separate worlds. Bayanat treats them as one job.
What we cover
- Governance and master data: catalogs, lineage, data quality, data contracts, reference data.
- Enterprise LLMs, seen from the data side: governed retrieval, model governance, evaluation, cost.
- Data and AI security: leaks, access control, prompt injection, vulnerabilities in the tools you run.
- Regulation as a common thread, with a tracker of the dates that matter.
How we use AI
A pipeline collects official pages, release notes, advisories and research, sorts them and drafts short summaries. The editor reads every item, checks it against its source, adds a point of view and decides what goes out. Nothing is published automatically. Our editorial charter sets the rules, including on sponsors.
What you get
One email every Tuesday, readable in eight minutes, and an analysis every two weeks. Free, and easy to leave.
How this was made. Research and a first draft were prepared with AI tools from the sources listed; the analysis is the editor’s and was reviewed before publication.
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