Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
AI Cloud represents an innovative strategy designed to meet the current demands, challenges, and potential of artificial intelligence. This comprehensive system acts as a single source of truth, expediting the process of bringing AI solutions into production for organizations of all sizes. Users benefit from a collaborative environment tailored for ongoing enhancements throughout the entire AI lifecycle. The AI Catalog simplifies the process of discovering, sharing, tagging, and reusing data, which accelerates deployment and fosters teamwork. This catalog ensures that users can easily access relevant data to resolve business issues while maintaining high standards of security, compliance, and consistency. If your database is subject to a network policy restricting access to specific IP addresses, please reach out to Support for assistance in obtaining a list of IPs that should be added to your network policy for whitelisting, ensuring that your operations run smoothly. Additionally, leveraging AI Cloud can significantly improve your organization’s ability to innovate and adapt in a rapidly evolving technological landscape.
Description
Develop and implement deep learning models tailored to specific requirements. Our streamlined machine learning process empowers clients to design robust AI solutions using our top-tier models, customized to address their unique challenges effectively. Digital platforms can efficiently generate models that align with their specific guidelines and demands. Construct large language models for niche applications, including customer service and technical support chatbots. Additionally, develop image classification models to enhance the comprehension of image collections, facilitating improved search, organization, and various other applications, ultimately leading to more efficient processes and enhanced user experiences.
API Access
Has API
No
API Access
Has API
No
Integrations
Azure Marketplace
Yes
CData Python Connectors
Yes
Chainguard
Yes
CloudZero
Yes
Cranium
Yes
DataOps.live
Yes
Hive Data
No
Hive Moderation
No
Lyftrondata
Yes
Membrane
Yes
Integrations
Azure Marketplace
No
CData Python Connectors
No
Chainguard
No
CloudZero
No
Cranium
No
DataOps.live
No
Hive Data
Yes
Hive Moderation
Yes
Lyftrondata
No
Membrane
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
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
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
DataRobot
Country
United States
Website
www.datarobot.com
Vendor Details
Company Name
Hive
Founded
2013
Country
United States
Website
thehive.ai/solutions/auto-ml
Product Features
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
Deep Learning
Convolutional Neural Networks
Yes
Document Classification
No
Image Segmentation
Yes
ML Algorithm Library
Yes
Model Training
Yes
Neural Network Modeling
Yes
Self-Learning
No
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
No
Templates
Yes
Visualization
Yes
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No