by Alejandra. Vital | Sep 18, 2026 | Blog
A productive lakehouse separates the data cycle into three layers: Bronze preserves the original data, Silver validates and standardizes it, and Gold turns it into information ready for decision making, BI, and AI. The value lies not in using three colors, but in establishing traceability,...
by Alejandra. Vital | Sep 14, 2026 | Blog
For decades, the composition of a board of directors was determined by a relatively stable combination of profiles: one financial, one legal, one industry-related. That combination reasonably covered the risks that a board had to monitor....
by Alejandra. Vital | Sep 11, 2026 | Blog
A data lake prioritizes flexibility to store diverse data; a data warehouse optimizes structured information for BI and reporting; a lakehouse combines flexible storage with governance, transactions, and advanced analytics. The right choice depends on...
by Alejandra. Vital | Sep 8, 2026 | Blog
Approve a project and ensure it is executed properly are two separate responsibilities, although in most boards they are treated as if they were the same. The first responsibility falls on the management team. The second responsibility falls on the board — and in...
by Alejandra. Vital | Sep 4, 2026 | Blog
A lakehouse architecture unifies analytics and AI by sharing a governed data layer, transactional table formats, and specialized compute engines for BI, streaming, and machine learning. Its value lies not in “putting everything in a lake,” but in reducing...
by Aranza R | August 28, 2026 | Blog
The real cost of artificial intelligence does not end with licenses, models, or tokens. Data, integration, RAG infrastructure, security, monitoring, follow-up work, and adoption can substantially modify the TCO. To protect the ROI, a company must...
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