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Description
IBM FileNet Content Manager serves as a versatile and comprehensive content management platform, forming the core of IBM Cloud Pak® for Business Automation. It leverages artificial intelligence to extract valuable insights from unstructured data. This solution empowers you to develop cutting-edge business applications hosted on any cloud environment while effectively overseeing content from various origins. Content managers and business professionals can utilize low-code development tools alongside modern GraphQL APIs to build secure, content-focused applications capable of processing substantial document quantities to achieve desired outcomes. Users can swiftly search for content throughout the organization, including data obtained from physical documents. Furthermore, it allows for the secure sharing of content with external stakeholders across different devices and within pre-existing applications. By harnessing advanced deep learning AI, users can activate content to glean insights and information from unstructured data. This approach not only enhances productivity but also reduces the need for manual document classification and minimizes errors associated with metadata entry. Overall, IBM FileNet Content Manager streamlines content management processes, making it an essential tool for any enterprise looking to improve operational efficiency.
Description
MeaningCloud is the easiest, most cost-effective, and most cost-effective way to extract meaning from unstructured content (articles, documents, social conversations, etc.).
We offer text analytics products that provide the most accurate insights possible from any content in any language. We do it both SaaS-based and on-prem. We have worked in a variety of industries, including pharma, finance, media and retail. We develop tailored and industry-specific solutions.
Our scenarios include:
* Insight extraction
* Analysis of the voice and opinions of the customer, employee or citizen. (User experience analytics and customer experience analytics in general.
* Intelligent document automation
Our APIs are free to use (20,000 API calls per year). Get our add-ins for Excel or Google sheets. Our integrations with Dataiku RapidMiner, Automation Anywhere, and Automation Anywhere as well as our SDKs (PHP, Python, Java and JavaScript) are available.
API Access
Has API
API Access
Has API
Integrations
Adlib
Automation Anywhere
Bigtincan
Dataiku
DocShifter
Exterro
IDmission
Nekton.ai
Netreo
Objective 3Sixty
Integrations
Adlib
Automation Anywhere
Bigtincan
Dataiku
DocShifter
Exterro
IDmission
Nekton.ai
Netreo
Objective 3Sixty
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$99 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/filenet-content-manager
Vendor Details
Company Name
MeaningCloud
Founded
1998
Country
United States
Website
meaningcloud.com
Product Features
Content Management
Audio Content
Customizable Templates
Document Indexing
E-forms
Full Text Search
Image Editor
SEO Management
Text Editor
Version Control
Video Content
Website Management
Document Management
Access Controls
Archiving & Retention
Collaboration Tools
Compliance Tracking
Document Archiving
Document Assembly
Document Capture
Document Conversion
Document Delivery
Document Indexing
Document Retention
Electronic Signature
Email Management
File Recovery
File Type Conversion
Forms Management
Full Text Search
Offline Access
Optical Character Recognition
Print Management
Version Control
Product Features
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization
Social Media Analytics Tools
Campaign Analytics
Competitor Monitoring
Customizable Reports
Engagement Tracking
Influencer Tracking
Multi-Channel Data Collection
Text Mining
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering