Domino Enterprise AI Platform Description

Domino is a comprehensive enterprise AI platform that enables organizations to transform AI initiatives into scalable, production-ready systems. It supports the full AI lifecycle, including data access, model development, deployment, and ongoing management. The platform provides a self-service environment where data scientists can access tools, datasets, and compute resources with built-in governance and security controls. Domino allows teams to build machine learning models, generative AI applications, and intelligent agents using their preferred development environments. It also includes advanced orchestration capabilities to manage workloads across hybrid, multi-cloud, and on-premises infrastructures. Governance features such as model registries, audit trails, and policy enforcement ensure compliance and reproducibility. The platform enhances collaboration by providing a centralized system of record for all AI assets and experiments. Additionally, it helps organizations optimize costs through resource management and usage tracking. Domino is designed to meet enterprise standards for security and regulatory compliance. Ultimately, it empowers businesses to accelerate AI innovation while maintaining operational control and accountability.

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Pricing

Pricing Information:
Per user/per year
Free Trial:
Yes

Integrations

API:
Yes, Domino Enterprise AI Platform has an API
View Integrations

Reviews - 1 Verified Review

Total
ease
features
design
support
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Company Details

Company:
Domino Data Lab
Year Founded:
2013
Headquarters:
United States
Website:
www.dominodatalab.com
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Media

Domino Enterprise AI Platform Screenshot 1
Domino Enterprise AI Platform Screenshot 1 The Domino Enterprise MLOps Platform helps data science teams improve the speed, quality and impact of data science at scale. The Self-Service Infrastructure Portal makes data science teams more productive with easy access to their preferred tools, scalable compute, and diverse data sets. By automating time-consuming DevOps tasks, data scientists can focus on the tasks at hand. The Integrated Model Factory includes a workbench, model and app deployment, and integrated monitoring to rapidly experiment, deploy the best models in production, ensure optimal performance, and collaborate across the end-to-end data science lifecycle. The System of Record has a powerful reproducibility engine, search and knowledge management, and integrated project management. Teams can easily find, reuse, reproduce, and build on any data science work to amplify innovation. Model monitoring capabilities ensure that all production models maintain peak performance. Automated alerts provide notification when data and quality drift occurs so you can easily re-train, rebuild, and re-publish your model.
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Product Details

Platforms
Web-Based
On-Premises
Types of Training
Training Docs
Webinars
In Person
Training Videos
Customer Support
Business Hours
Online Support

Domino Enterprise AI Platform Features and Options

Artificial Intelligence Software

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)

Data Science Software

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

Deep Learning Software

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

Machine Learning Software

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

Data Management Software

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Domino Enterprise AI Platform Lists

Domino Enterprise AI Platform User Reviews

Write a Review
  • Name: Navneet N.
    Job Title: Software Developer
    Length of product use: 1-2 Years
    Used How Often?: Weekly
    Role: User
    Organization Size: 100 - 499
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    DDSP

    Date: Dec 18 2020

    Summary: Overall, if you want a notebook-based environment, this will suit you the best. It is powerful and easy to use with tons of great features.

    Positive: Domino Data Science has the following pros:
    - Great Customer service.
    - Flexibility with notebooks and the ability to define your environment as per your needs.
    - Collaboration is very much easy with this software.
    - Launches Quickly and easily scalable of Kubernetes infrastructure.

    Negative: The only cons that I found with this software were that the datasets are not accessible outside the platform. Other than that, this works fine for me.

    Read More...
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