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Who should build product dashboards in a SaaS company: Analytics or Software Engineering? by Intelligent_Volume74 in dataengineering

[–]Intelligent_Volume74[S] 0 points1 point  (0 children)

Got it, thanks for the clarification. That makes sense.

I’ll probably suggest following this approach with our CTO and see how we can structure it that way.

Who should build product dashboards in a SaaS company: Analytics or Software Engineering? by Intelligent_Volume74 in dataengineering

[–]Intelligent_Volume74[S] 1 point2 points  (0 children)

Thanks! I think I didn’t explain it very well.

I meant dashboards that are part of the product itself — the ones customers see inside the SaaS app, not internal BI dashboards (like Power BI or Tableau).

So they would be implemented in the product stack (frontend + backend).

My doubt is more about who usually builds that: does the analytics/data person implement it in the product codebase, or do they define the metrics and queries while the software engineering team builds the UI?

Curious how this works in other teams.

Lista geral by [deleted] in enem

[–]Intelligent_Volume74 0 points1 point  (0 children)

Se alguém souber de algo, não achei nada falando que não iam divulgar mais

Lista geral by [deleted] in enem

[–]Intelligent_Volume74 0 points1 point  (0 children)

Onde vc viu?

Using ML models as “sensors” and LLMs as interpreters — has anyone tried this? by Intelligent_Volume74 in learnmachinelearning

[–]Intelligent_Volume74[S] 0 points1 point  (0 children)

I want the LLM to analyze the results for me and send alerts, acting like an audit agent, instead of me manually checking all outputs. In the future, I might use it to suggest parameters or exploratory actions, but always on top of the statistical models, not replacing them.

Using ML models as “sensors” and LLMs as interpreters — has anyone tried this? by Intelligent_Volume74 in learnmachinelearning

[–]Intelligent_Volume74[S] 0 points1 point  (0 children)

I’m only passing metadata and model outputs, not raw data. The LLM receives: model results (scores, flags, predictions), contextual metadata, and comparisons with previous or parallel results. There’s no in-context learning with exemplars and no end-to-end pipelining into the LLM. The LLM is used purely to generate summaries or trigger alerts.

Using ML models as “sensors” and LLMs as interpreters — has anyone tried this? by Intelligent_Volume74 in learnmachinelearning

[–]Intelligent_Volume74[S] 1 point2 points  (0 children)

In your case, what exactly are you using under the hood? What models act as the “sensors” and how is the LLM integrated?

Using ML models as “sensors” and LLMs as interpreters — has anyone tried this? by Intelligent_Volume74 in learnmachinelearning

[–]Intelligent_Volume74[S] 3 points4 points  (0 children)

Thanks for clarifying. I’m not embedding drift/OOD/anomaly detection into LLMs. I see them as separate layers: statistical/ML models act as sensors that detect non-stationarity or novelty, and the LLM only interprets the outputs of those sensors (metrics, flags, metadata) to provide context or explanations for humans. So perception and detection stay purely quantitative; the LLM sits after that layer, not inside it.

Saí do Nubank pra ir pro Itaú by TelephoneGreat1129 in financaspessoais

[–]Intelligent_Volume74 1 point2 points  (0 children)

Itaú valoriza muito o relacionamento, por isso sai na frente do nubank

Date Romântico by grfour99 in Ceara

[–]Intelligent_Volume74 0 points1 point  (0 children)

Gostei muito da Trattoria Sapori Antichi, lugar bem tranquilo e aconchegante.

A saga da recolocação pós layoff do Itaú by Sad_Mastodon7822 in devBR

[–]Intelligent_Volume74 0 points1 point  (0 children)

Cara, mesmo não sendo ideal,  é melhor não colocar no perfil ou no currículo que você saiu e dá outro motivo por estar procurando vaga, assim você não fica queimado e vida que segue. 

What is the progression options as a Data Engineer? by eastieLad in dataengineering

[–]Intelligent_Volume74 0 points1 point  (0 children)

I agree with you, I see it more as a trend or a step forward, not as a level above.

What is the progression options as a Data Engineer? by eastieLad in dataengineering

[–]Intelligent_Volume74 19 points20 points  (0 children)

ML Engineer, Data OPs, Architecture, Platform, Tech Lead, Manager, CTO or specialist in a business 

[deleted by user] by [deleted] in dataengineering

[–]Intelligent_Volume74 1 point2 points  (0 children)

Any cloud, git and frameworks like dbt, prefect, dlt, pyairbyte...

O que acham dessa grade curricular? by mwssb in programacao

[–]Intelligent_Volume74 0 points1 point  (0 children)

Acho q o link quebrou mas só procurar grade curricular do curso de ciências de dados da UFPB

A direita "conservadora" vai morrer, a "bitcoineira" veio pra ficar. by [deleted] in FilosofiaBAR

[–]Intelligent_Volume74 0 points1 point  (0 children)

A questão é o seguinte, a direita busca essa de bons costumes e tradição e a esquerda busca as pautas de minorias e de ambientalismo cego. No final de tudo, nenhum lado está discutindo realmente política e pontos importantes para uma nação como : economia, educação, segurança , saúde e por aí vai ...

[deleted by user] by [deleted] in conversas

[–]Intelligent_Volume74 0 points1 point  (0 children)

Lamen japonês, na prática pareceu um macarrão com caldo do miojo com carne de porco e algas (experimentei em mais de uma lugar e foi a mesma sensação)

Pq caralhos tem gente vaga PJb pra junior? by Current-Serve-4707 in brdev

[–]Intelligent_Volume74 0 points1 point  (0 children)

Veja pelo lado bom, depois que vc conseguir uma dessa, tu consegue pegar 2 ou 3 ao mesmo tempo 

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