by Alejandra. Vital | Oct 19, 2026 | Blog
Gartner said it without hesitation in mid-2025: more than 40% of agent AI projects will be canceled before the end of 2027. Not for lack of interest—on the contrary. It is unfiltered enthusiasm that is filling that graveyard. Last week...
by Alejandra. Vital | Oct 17, 2026 | Blog
A company needs 24x7x365 support when a failure outside of working hours can stop revenue, production, attention, regulated operations, or services with a RTO of a few hours. The decision should not be based on the size of the company, but on how much it costs...
by Alejandra. Vital | Oct 16, 2026 | Blog
There is no universally superior data lake platform. Azure usually fits better into Microsoft ecosystems; AWS in distributed architectures based on S3; Google Cloud in serverless analytics and open architectures with Iceberg; and Snowflake when prioritized...
by Alejandra. Vital | Oct 12, 2026 | Blog
One company is approving a pilot of an AI agent that used to only answer questions. Now it sends emails to customers, adjusts inventory, or approves minor payments without anyone checking it line by line. The question that was asked in the room was the same as always:...
by Alejandra. Vital | Oct 9, 2026 | Blog
A data lake becomes a data swamp when it accumulates information without cataloging, ownership, quality controls, lineage, permissions, or a lifecycle. To avoid this, six operational controls are required: ownership, metadata, quality by layers, traceability, security, and...
by Alejandra. Vital | Oct 6, 2026 | Blog
A multi-site corporate help desk should centralize attention, but not treat all users equally. It requires coverage by time zone, omnichannel channels, endpoint inventory and context, automation, remote resolution, L1-L3 scaling, and support in...
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