Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Enable data for AI and analytics in a business-friendly manner through smart cataloging, supported by proactive metadata and policy governance. The IBM Watson® Knowledge Catalog serves as a powerful tool for discovering data, models, and more, enhancing the self-service exploration experience. Acting as a cloud-based repository for enterprise metadata, it facilitates the activation of information for AI, machine learning (ML), and deep learning applications. Users can access, curate, categorize, and share data and knowledge assets along with their interconnections, regardless of their location. By organizing, defining, and managing enterprise data effectively, organizations can ensure they have the appropriate context to generate value for various needs, including regulatory compliance and data monetization efforts. Furthermore, it safeguards data integrity, oversees compliance and audit readiness, and fosters client trust through active policy management and the dynamic masking of sensitive information. With user-friendly dashboards and workflows that can be easily shared with colleagues or integrated with analytical tools, businesses can consume and transform data efficiently to keep pace with their operational demands. By leveraging these capabilities, organizations can enhance their decision-making processes and drive innovation across their operations.
Description
DataOS, the flagship product of The Modern Data Company, transforms the way organizations manage, unify, and activate their data at scale by converting raw information into governed, reusable, and AI-compatible data products that enhance insights and decision-making without hindering team productivity. This innovative system provides a flexible, open framework that integrates seamlessly with existing data infrastructures, enabling businesses to find and utilize reliable data products equipped with comprehensive policies, clear ownership, traceability, and a universal semantic layer that standardizes metrics and definitions across various domains. By minimizing complexity and hidden expenses, DataOS accelerates the journey to realizing value from data. Additionally, it offers powerful discovery and search functions, allowing users to navigate through a collection of curated, business-ready data products organized by domain or use case, while also incorporating global metrics and lifecycle management to track the usage, performance, adoption, and return on investment of data products throughout their entire lifecycle. As a result, organizations can make more informed decisions faster, ultimately leading to improved business outcomes.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Amazon Web Services (AWS)
No
Angular
No
Databricks
No
Google Cloud Platform
No
IBM Cloud
Yes
IBM Cloud Pak for Applications
Yes
IBM Cloud Pak for Integration
Yes
IBM InfoSphere Information Governance Catalog
Yes
Jupyter Notebook
No
Microsoft Azure
No
Integrations
Amazon Web Services (AWS)
Yes
Angular
Yes
Databricks
Yes
Google Cloud Platform
Yes
IBM Cloud
No
IBM Cloud Pak for Applications
No
IBM Cloud Pak for Integration
No
IBM InfoSphere Information Governance Catalog
No
Jupyter Notebook
Yes
Microsoft Azure
Yes
Pricing Details
$300 per instance
Free Trial
Yes
Free Version
Yes
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
Yes
Live Rep (24/7)
Yes
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)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/cloud/watson-knowledge-catalog
Vendor Details
Company Name
The Modern Data Company
Founded
2019
Country
United States
Website
www.themoderndatacompany.com
Product Features
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