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Digital.ai VS Datatron

Compare Digital.ai VS Datatron and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Digital.ai logo Digital.ai

Digital.ai is an intelligent value stream management software platform for digital enterprises and application delivery teams.

Datatron logo Datatron

Datatron automates the deployment, monitoring, governance, and validation of your machine learning models in scikit-learn, TensorFlow, Keras, Pytorch, R, H20 and SAS
  • Digital.ai Landing page
    Landing page //
    2023-10-10
  • Datatron Landing page
    Landing page //
    2023-02-11

Digital.ai videos

+ Add

Overview of Digital.ai Application Security

Datatron videos

+ Add

Harish Doddi demos Datatron @SFNewTech on 1 Mar 2017 #SFNT @getdatatron

More videos:

  • Review - Virtual Records Management from Datatron

Category Popularity

0-100% (relative to Digital.ai and Datatron)

Digital.ai

Datatron

Business & Commerce
68 68%
Business & Commerce
32% 32
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Machine Learning Tools
0 0%
Machine Learning Tools
100% 100

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What are some alternatives?

When comparing Digital.ai and Datatron, you can also consider the following products

Domino Data Lab - Domino is a data science platform that enables collaborative and reusable analysis of data.

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

MLOps - MLOps is a software platform that enables companies to manage AI production.

MCenter - Machine Learning Operationalization

SAS Model Manager - SAS Model Manager is a proven, reliable solution for the Analysis Services platform that enables you to integrate multiple environments, tools, and applications using open REST APIs.

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

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