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CloudFactory VS Evidently AI

Compare CloudFactory VS Evidently AI and see what are their differences

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CloudFactory logo CloudFactory

Human-powered Data Processing for AI and Automation

Evidently AI logo Evidently AI

Open-source monitoring for machine learning models
  • CloudFactory Landing page
    Landing page //
    2023-09-06

CloudFactory is a global leader in combining people and technology to provide workforce solutions for machine learning and business process optimization. Our growing team of data analysts prepare the data that powers products and trains artificial intelligence. We work with innovators across diverse industries and process millions of tasks a day for some of the world’s most innovative companies. We exist to create meaningful work for one million talented people in developing nations, so we can earn, learn, and serve our way to become leaders worth following.

  • Evidently AI Landing page
    Landing page //
    2023-08-19

CloudFactory videos

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Meet CloudFactory.

More videos:

  • Review - CloudFactory Partnerships

Evidently AI videos

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How to Monitor Machine Learning Models (Evidently AI)

Category Popularity

0-100% (relative to CloudFactory and Evidently AI)

CloudFactory

Evidently AI

Data Labeling
100 100%
Data Labeling
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Image Annotation
100 100%
Image Annotation
0% 0
AI
0 0%
AI
100% 100

User comments

Share your experience with using CloudFactory and Evidently AI. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Evidently AI seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

CloudFactory mentions (0)

We have not tracked any mentions of CloudFactory yet. Tracking of CloudFactory recommendations started around Mar 2021.

Evidently AI mentions (2)

  • [D] Using MLFlow for model performance tracking
    It is doable. However the main focus of MLFlow is in experiment tracking. I would suggest for you to look into another monitoring tools such evidentlyai . You can track more things than performance (e.g.data drift). Which may be helpful in a production setting. Source: almost 2 years ago
  • Five Data Quality Tools You Should Know
    Evidently is an open-source Python library that analyzes and monitors machine learning models. It generates interactive reports based on Panda DataFrames and CSV files for troubleshooting models and checking data integrity. These reports show model health, data drift, target drift, data integrity, feature analysis, and performance by segment. - Source: dev.to / over 2 years ago

What are some alternatives?

When comparing CloudFactory and Evidently AI, you can also consider the following products

Labelbox - Build computer vision products for the real world

ML Showcase - A curated collection of machine learning projects

Playment - Playment is a fully-managed solution offering training data for AI, transcription, data collection and enrichment services at scale.

Censius.ai - Building the future of MLOps

Hive - Seamless project management and collaboration for your team.

iko.ai - Real-time collaborative notebooks on your own Kubernetes clusters to train, track, package, deploy, and monitor your machine learning models.

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