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Datatron Technologies

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3 avis
  • 1 profils
  • 1 catégories
Note moyenne des étoiles
4.0
Au service des clients depuis
2016
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shlesha g.
SG
shlesha g.
Attended Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur
12/18/2022
Évaluateur validé
Source de l'avis : Invitation G2
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Traduit à l'aide de l'IA

Rentable et robuste outil ETL

L'intégration de données avec plusieurs sources m'aide beaucoup. Leur expérience fluide me fait gagner un temps précieux. Data Tron me fournit une vaste personnalisation et est vraiment facile à utiliser. J'aime aussi leur équipe de support technique. Ils aident leurs clients. Récemment, j'ai eu des problèmes avec les transferts FTP ; DataTron résout ce problème. De plus, après cela, j'ai passé moins de temps sur la validation des modèles.
Akashraj S.
AS
Akashraj S.
Senior System Engineer at Infosys, Datascience & ML enthusiast
12/30/2021
Évaluateur validé
Source de l'avis : Invitation G2
Avis incitatif

DataTron - Review

Moving Machine Learning models from scratch to production is somewhere tedious. However, Datatron comes to the rescue. Validating the models and detecting the bias in the models created has been much easier with datatron than with actual processes.
Sahil M.
SM
Sahil M.
Software Developer at Tata Consultancy Services
12/02/2021
Évaluateur validé
Source de l'avis : Invitation G2
Avis incitatif

A great platform to keep models organized.

I was working on some critical models where we had a lot of model turnover, we were creating and putting aside lots of models, and a time came where we could not even keep a track of all our created models. Our team looked for a model monitoring platform where we could organize, store, and keep an eye on all our models, and hence we started using Datatron. One of the best features of datatron that I've come across is the ModelOps that made deploying and managing AI models quite easier. With the help of this feature, whenever a model was ready, it was quickly sent into the production environment because of the automated platform.

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HQ Location:
San Francisco, California

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@datatron

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Année de fondation
2016