Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Monitor the performance of your models to identify and respond to data drift, enhancing accuracy for improved business results. Foster trust, ensure regulatory compliance, and promote actionable machine learning outcomes using Arthur’s APIs that prioritize explainability and transparency. Actively supervise for biases, evaluate model results against tailored bias metrics, and enhance your models' fairness. Understand how each model interacts with various demographic groups, detect biases early, and apply Arthur's unique bias reduction strategies. Arthur is capable of scaling to accommodate up to 1 million transactions per second, providing quick insights. Only authorized personnel can perform actions, ensuring data security. Different teams or departments can maintain separate environments with tailored access controls, and once data is ingested, it becomes immutable, safeguarding the integrity of metrics and insights. This level of control and monitoring not only improves model performance but also supports ethical AI practices.
Description
Regardless of the location of your data, it should empower you to achieve improved results. Enhance these outcomes by linking, exploring, and enriching your data effectively. Convert your data into practical insights and actionable information that can drive decisions. Ensure that your data remains accessible for every application you require. By uniting all of your disparate data sources, both structured and unstructured, you can attain a comprehensive view and oversight of your organizational data environment. Leverage no-code and low-code platforms to make data manipulation straightforward and inclusive for everyone. Provide valuable services to your organization by building a network of information that might otherwise stay concealed in separate data silos. The data fabric functions as a bridge, facilitating seamless and secure data transfer among various departments, databases, and platforms, regardless of their foundational technology. Manage expenses effectively while maintaining robust security measures. Avoid allowing your applications to dictate the processing location of your data. Objective 3Sixty is versatile, capable of being implemented either on-premises or in a cloud environment, ensuring flexibility for your organizational needs. This adaptability allows users to choose the most suitable setup based on their specific operational requirements and strategic goals.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Alfresco Digital Business Platform
No
Amazon S3
No
Box
No
DocuShare
No
Dropbox
No
Ephesoft
No
Gmail
No
Google Drive
No
IBM FileNet Content Manager
No
Infor CRM
No
Integrations
Alfresco Digital Business Platform
Yes
Amazon S3
Yes
Box
Yes
DocuShare
Yes
Dropbox
Yes
Ephesoft
Yes
Gmail
Yes
Google Drive
Yes
IBM FileNet Content Manager
Yes
Infor CRM
Yes
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
Yes
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
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Arthur
Founded
2018
Country
United States
Website
arthur.ai/
Vendor Details
Company Name
Objective Corporation
Founded
1987
Country
Australia
Website
www.objective.com/products/objective-3sixty
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
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
Product Features
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