Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Our identity verification and risk management solutions facilitate the instantaneous identification and tracking of individuals, businesses, assets, and their connections, granting organizations the ability to function with assurance. Presenting CORE™, a platform designed specifically for enterprises but adaptable to suit organizations of any scale, our innovative cloud-native technology stands as the most sophisticated identity intelligence solution available today. It features a highly automated framework that is engineered for large-scale applications, utilizing machine learning to enhance its capabilities. With automated monitoring, versatile APIs, and state-of-the-art batch processing, it offers near-unlimited capacity and exceptional performance. By evaluating billions of data points in real-time, it provides enhanced intelligence and unmatched insights that aid in decision-making processes. The system operates within a robust, fully auditable, multi-layered environment that adheres to the highest compliance standards in the industry. Furthermore, it employs a combination of supervised and unsupervised machine learning techniques to uncover even more profound insights. This comprehensive approach not only optimizes operational efficiency but also significantly improves risk management strategies for organizations.
Description
Paradise employs advanced unsupervised machine learning alongside supervised deep learning techniques to enhance data interpretation and derive deeper insights. It creates specific attributes that help in extracting significant geological information, which can then be utilized for machine learning analyses. The system identifies attributes that exhibit the most variation and influence within a geological context. Additionally, it visualizes neural classes and their corresponding colors from Stratigraphic Analysis, which reveal the spatial distribution of different facies. Faults are detected automatically through a combination of deep learning and machine learning methods. Furthermore, it allows for a comparison between machine learning classification outcomes and other seismic attributes against traditional high-quality logs. Lastly, it generates both geometric and spectral decomposition attributes across a cluster of computing nodes, achieving results in a fraction of the time it would take on a single machine. This efficiency enhances the overall productivity of geoscientific research and analysis.
API Access
Has API
Yes
API Access
Has API
No
Integrations
InterProse ACE
No
Pricing Details
No price information available.
Free Trial
Yes
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
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
IDI Data
Country
United States
Website
www.ididata.com
Vendor Details
Company Name
Geophysical Insights
Founded
2009
Country
United States
Website
www.geoinsights.com/products/
Product Features
Product Features
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