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Description

Azure AI Content Understanding empowers organizations to convert unstructured multimodal data into actionable insights. By extracting valuable information from various input formats including text, audio, images, and video, businesses can unlock essential insights. Employing advanced AI techniques like schema extraction and grounding, it ensures the generation of accurate, high-quality data suitable for further applications. This technology simplifies the integration of diverse data types into a cohesive workflow, resulting in reduced costs and an expedited path to value realization. For instance, businesses and call center operators can leverage insights from call recordings to monitor crucial KPIs, improve product experiences, and respond to customer inquiries more efficiently and accurately. Furthermore, by ingesting a wide array of data types such as documents, images, audio, or video, organizations can utilize various AI models offered in Azure AI to convert raw input into structured outputs that facilitate easier processing and analysis in subsequent applications. Such capabilities ultimately enhance decision-making processes across various sectors.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Assai
Azure AI Content Safety
Azure AI Services
Bigtincan
DocShifter
Exterro
IDmission
Microsoft Azure
Microsoft Foundry
Microsoft Intelligent Data Platform
Netreo
Objective 3Sixty
OpenText xPression
Origina
PSIcapture
Packed Data Exchange
Proventeq
iFinder

Integrations

Assai
Azure AI Content Safety
Azure AI Services
Bigtincan
DocShifter
Exterro
IDmission
Microsoft Azure
Microsoft Foundry
Microsoft Intelligent Data Platform
Netreo
Objective 3Sixty
OpenText xPression
Origina
PSIcapture
Packed Data Exchange
Proventeq
iFinder

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

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/products/ai-services/ai-content-understanding

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/filenet-content-manager

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

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

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