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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.
Description
iDNA Applications provides an automatic analysis of application design components and code snippets to evaluate and rank their complexity. This allows you to swiftly distinguish between simpler applications and concentrate your efforts on the more complex ones that require significant redevelopment. By the time you initiate your modernization or migration initiative, you can effectively narrow your focus and achieve quick wins. Utilize visualized analytics to gain valuable insights that inform your decision-making process. The tool also facilitates the auto-discovery and categorization of applications based on their design attributes. It enables immediate recognition of applications that are no longer in use, making them prime candidates for archiving. Additionally, it helps developers save time by pinpointing code similarities throughout various applications. By comprehending the intricacies of your Domino applications and the associated data, you can achieve a holistic view that leads to more precise project planning. This comprehensive understanding ultimately empowers teams to streamline their workflows and enhance overall productivity.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Amazon EC2 Trn2 Instances
Yes
Anaconda
Yes
Bitbucket
Yes
Flask
Yes
GitHub
Yes
GitLab
Yes
H2O.ai
Yes
Jira
Yes
JupyterLab
Yes
MATLAB
Yes
Integrations
Amazon EC2 Trn2 Instances
No
Anaconda
No
Bitbucket
No
Flask
No
GitHub
No
GitLab
No
H2O.ai
No
Jira
No
JupyterLab
No
MATLAB
No
Pricing Details
Per user/per year
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Domino Data Lab
Founded
2013
Country
United States
Website
www.dominodatalab.com
Vendor Details
Company Name
panagenda
Founded
2007
Country
Austria
Website
www.panagenda.com/idna-applications/
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
Data Science
Access Control
Yes
Advanced Modeling
Yes
Audit Logs
Yes
Data Discovery
Yes
Data Ingestion
Yes
Data Preparation
Yes
Data Visualization
Yes
Model Deployment
Yes
Reports
Yes
Deep Learning
Convolutional Neural Networks
Yes
Document Classification
Yes
Image Segmentation
Yes
ML Algorithm Library
Yes
Model Training
Yes
Neural Network Modeling
Yes
Self-Learning
Yes
Visualization
Yes
Machine Learning
Deep Learning
Yes
ML Algorithm Library
Yes
Model Training
Yes
Natural Language Processing (NLP)
No
Predictive Modeling
Yes
Statistical / Mathematical Tools
Yes
Templates
No
Visualization
No
Product Features
Decision Support
Application Development
Yes
Budgeting & Forecasting
No
Data Analysis
Yes
Decision Tree Analysis
No
Monte Carlo Simulation
No
Performance Metrics
No
Rules-Based Workflow
No
Sensitivity Analysis
No
Thematic Mapping
No
Version Control
No