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What is Domino Enterprise MLOps Platform?

The Domino Enterprise MLOps Platform enhances the efficiency, quality, and influence of data science on a large scale, providing data science teams with the tools they need for success. With its open and adaptable framework, Domino allows experienced data scientists to utilize their favorite tools and infrastructures seamlessly. Models developed within the platform transition to production swiftly and maintain optimal performance through cohesive workflows that integrate various processes. Additionally, Domino prioritizes essential security, governance, and compliance features that are critical for enterprise standards. The Self-Service Infrastructure Portal further boosts the productivity of data science teams by granting them straightforward access to preferred tools, scalable computing resources, and a variety of data sets. By streamlining labor-intensive DevOps responsibilities, data scientists can dedicate more time to their core analytical tasks, enhancing overall efficiency. The Integrated Model Factory offers a comprehensive workbench alongside model and application deployment capabilities, as well as integrated monitoring, enabling teams to swiftly experiment and deploy top-performing models while ensuring high performance and fostering collaboration throughout the entire data science process. Finally, the System of Record is equipped with a robust reproducibility engine, search and knowledge management tools, and integrated project management features that allow teams to easily locate, reuse, reproduce, and build upon existing data science projects, thereby accelerating innovation and fostering a culture of continuous improvement. As a result, this comprehensive ecosystem not only streamlines workflows but also enhances collaboration among team members.

What is AI Squared?

Encourage teamwork among data scientists and application developers on initiatives involving machine learning. Develop, load, refine, and assess models and their integrations before they become available to end-users for use within live applications. By facilitating the storage and sharing of machine learning models throughout the organization, you can reduce the burden on data science teams and improve decision-making processes. Ensure that updates are automatically communicated, so changes to production models are quickly incorporated. Enhance operational effectiveness by providing machine learning insights directly in any web-based business application. Our intuitive drag-and-drop browser extension enables analysts and business users to easily integrate models into any web application without the need for programming knowledge, thereby making advanced analytics accessible to all. This method not only simplifies workflows but also empowers users to make informed, data-driven choices confidently, ultimately fostering a culture of innovation within the organization. By bridging the gap between technology and business, we can drive transformative results across various sectors.

Media

Media

Integrations Supported

PyTorch
Amazon EC2 Trn2 Instances
Anaconda
Apache Zeppelin
Bitbucket
Flask
GitHub
Jira
JupyterLab
NVIDIA EGX Platform
NVIDIA RAPIDS
QuickBooks Online
R
SPARK
Salesforce
Snowflake
Steams Online
TensorFlow
python-sql

Integrations Supported

PyTorch
Amazon EC2 Trn2 Instances
Anaconda
Apache Zeppelin
Bitbucket
Flask
GitHub
Jira
JupyterLab
NVIDIA EGX Platform
NVIDIA RAPIDS
QuickBooks Online
R
SPARK
Salesforce
Snowflake
Steams Online
TensorFlow
python-sql

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Domino Data Lab

Date Founded

2013

Company Location

United States

Company Website

www.dominodatalab.com

Company Facts

Organization Name

AI Squared

Date Founded

2021

Company Location

United States

Company Website

squared.ai/

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Machine Learning

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

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Machine Learning

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

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