Decanter AI

Decanter AI

MoBagel Inc.
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About

Empowering the enterprise to do real data science at speed and scale with a full-featured machine learning platform. Spend less time managing tools and infrastructure, so you can focus on building machine learning applications that move your business forward. Anaconda Enterprise takes the headache out of ML operations, puts open-source innovation at your fingertips, and provides the foundation for serious data science and machine learning production without locking you into specific models, templates, or workflows. Software developers and data scientists can work together with AE to build, test, debug, and deploy models using their preferred languages and tools. AE provides access to both notebooks and IDEs so developers and data scientists can work together more efficiently. They can also choose from example projects and preconfigured projects. AE projects are automatically containerized so they can be moved between environments with ease.

About

Decanter AI is a no-code AI platform to help data scientists, domain experts, and business stakeholders to design and deploy AI solutions seamlessly. Data provides a record of a business's successes and failures, enabling review and process improvement. However, the high technical requirements of dealing with big data to make informed business decisions will become a significant challenge in the near future, particularly for enterprises with limited knowledge and experience in building AI models. Decanter AI utilizes automated machine learning (AutoML), automation of the machine learning process, to help enterprises make AI-driven decisions and generate business value from their data. Decanter AI empowers enterprises with world-class machine learning technologies through an intuitive interface. By rapidly building, testing, and deploying highly accurate machine learning models, Decanter AI enables enterprises to solve business challenges and unique needs using an AI-driven approach.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Teams that want to do real data science at speed and scale with a full-featured machine learning platform.

Audience

Organizations that need an expert system for AI-driven decision making to help their data scientists and business analysts

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 4.8 / 5
ease 4.9 / 5
features 4.6 / 5
design 4.6 / 5
support 4.6 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Anaconda
United States
www.anaconda.com/enterprise/

Company Information

MoBagel Inc.
Founded: 2015
United States
mobagel.com/decanter-ai/

Alternatives

Alternatives

Categories

Categories

Machine Learning Features

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Predictive Analytics Features

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Integrations

Azure Data Science Virtual Machines
Azure Marketplace
Dask
Domino Enterprise AI Platform
IBM watsonx.data
Jovian
Kixie PowerCall & SMS
NVIDIA RAPIDS
OpenSCAP
Thunder Compute
statsmodels

Integrations

Azure Data Science Virtual Machines
Azure Marketplace
Dask
Domino Enterprise AI Platform
IBM watsonx.data
Jovian
Kixie PowerCall & SMS
NVIDIA RAPIDS
OpenSCAP
Thunder Compute
statsmodels
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