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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
We have been pioneers in the development of clinical NLP platforms and their applications for over 15 years. This has resulted in high precision and accuracy. Our core competency is to interpret unstructured notes accurately and at scale. Tested on billions of real clinical notes and documents. AI that can explain with context, reasoning, and evidence for output. NLP with medical knowledge infused with 4M+ entities and 50M+ relationships. Innovative Machine Learning (ML), & Deep Learning(DL) models were used to build this NLP. Use a foundation of rich ontologies and clinician-specific terminologies. We can understand, interpret, and extract context & significance from the inconsistent, inconsistent, and non-standard data contained in medical documents. Our clinical domain experts continually infuse knowledge graphs to our NLP by mapping all clinical entities and their relationship between them. We have more than 4,000,000 entities and 50,000,000 relationships.
API Access
Has API
API Access
Has API
Integrations
Adlib
Assai
Bigtincan
DocShifter
Exterro
IDmission
Netreo
Objective 3Sixty
OpenText xPression
Origina
Integrations
Adlib
Assai
Bigtincan
DocShifter
Exterro
IDmission
Netreo
Objective 3Sixty
OpenText xPression
Origina
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
RAAPID INC
Founded
2022
Country
United States
Website
www.raapidinc.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