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ease
features
design
support

Average Ratings 0 Ratings

Total
ease
features
design
support

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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 

Screenshots View All

Screenshots View All

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 
NVIDIA EGX Platform Yes 
NVIDIA HPC SDK Yes 
NVIDIA NGC Yes 
NVIDIA RAPIDS Yes 
Okera Yes 
PyCharm Yes 
PyTorch Yes 
R Yes 
Snowflake Yes 
python-sql 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 
NVIDIA EGX Platform No 
NVIDIA HPC SDK No 
NVIDIA NGC No 
NVIDIA RAPIDS No 
Okera No 
PyCharm No 
PyTorch No 
R No 
Snowflake No 
python-sql 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 

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