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Datatron Technologies

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3 avaliações
  • Perfis 1
  • Categorias 1
Classificação média por estrelas
4.0
Atendendo clientes desde
2016
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shlesha g.
SG
shlesha g.
Attended Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur
12/18/2022
Avaliador validado
Fonte da Revisão: Convite da G2
Revisão Incentivada
Traduzido Usando IA

Custo-efetivo e robusto ETL Tool

A integração de dados com várias fontes me ajuda muito. Sua experiência sem interrupções economiza meu tempo precioso. A Data Tron me oferece uma vasta personalização e é realmente fácil de usar. Também gosto da equipe de suporte técnico deles. Eles ajudam seus clientes. Recentemente, fiquei preso nas transferências FTP; a DataTron resolve esse problema. Além disso, depois disso, passei menos tempo na validação de modelos.
Akashraj S.
AS
Akashraj S.
Senior System Engineer at Infosys, Datascience & ML enthusiast
12/30/2021
Avaliador validado
Fonte da Revisão: Convite da G2
Revisão Incentivada

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
Avaliador validado
Fonte da Revisão: Convite da G2
Revisão Incentivada

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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Ano de Fundação
2016