Snowflake automatiza la selección de modelos de IA para reducir costes
La compañía introduce el enrutamiento dinámico en Cortex AI Gateway y amplía su catálogo con DeepSeek-V4-Flash y GLM-5.3 para optimizar la inferencia.
La compañía introduce el enrutamiento dinámico en Cortex AI Gateway y amplía su catálogo con DeepSeek-V4-Flash y GLM-5.3 para optimizar la inferencia.
En contexto
- Tema: Estratégia e Governança de TI — Decisões de portfólio, custo total, governança e frameworks de referência.
- Fuente: Silicon España
- Publicado: 19/08/2026
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Extracto publicado automáticamente por el radar del sitio. El texto completo pertenece a su medio y se enlaza arriba.
Why it matters
What gives data value is not having it, it is somebody changing a decision because of it. It sounds obvious and it is the test most projects fail: the report gets built, gets published, nobody changes anything, and six months later the project is recorded as a success because it shipped on time.
When I assess a data initiative, the first question is which concrete decision gets made with this and who makes it. If the answer is that it provides visibility, I already know the dashboard will be abandoned within a year. Visibility is not an objective, it is a side effect.
What usually goes wrong
Where it usually breaks is capture. A lot gets invested in processing and nothing at the point where a person fills in the form, in a hurry, with no validation and no idea what it is for. No model fixes data that was born wrong; it only propagates it with more authority.
What to watch
- When the number arrives relative to when the decision is taken, which is what defines its usefulness.
- Who answers for the quality of the indicator when somebody challenges it in a committee.
- Which concrete decision changes because of this and who makes it: without that, it is one more dashboard.
How I read this entry
I would use it to review the full cycle, from where the data is captured to where somebody acts. The problem is almost never in the analytics but at the start: someone filling a field by hand, with no validation, in a hurry, not knowing what it is used for later.
The original story is published in another language; the excerpt is quoted as the publisher delivers it and the commentary is written in English.
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Living through this in your own team?
Open the chat and tell me how you're handling it. I'm interested in comparing notes.
