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What is IBM Watson Discovery?

Utilize AI-enhanced search functionalities to derive accurate answers and uncover patterns from a variety of documents and online resources. Watson Discovery employs cutting-edge natural language processing technology to grasp the specific jargon of your industry, allowing it to quickly find solutions within your materials and extract crucial business insights from extensive documents, websites, and data sets, significantly cutting down research time by more than 75%. This semantic search goes beyond conventional keyword searches; when a question is asked, Watson Discovery provides context for the answer. It adeptly navigates through interconnected data sources, pinpointing the most relevant passages and referencing the original documents or web pages. This advanced search experience, driven by natural language processing, guarantees that essential information is easily accessible. Additionally, it incorporates machine learning methods to visually organize text, tables, and images, while also emphasizing the most relevant results for users. Ultimately, this innovative tool revolutionizes how organizations engage with information, making it an indispensable asset in today's data-driven landscape.

What is Hyland Document Filters?

Discover what firms like Cisco, Reveal Data, and Absolute Software have learned about Catalyst and similar products! Document Filters serves as an essential toolkit for facilitating file inspection and processing capabilities within applications for eDiscovery, data loss prevention, text analysis, and content management. It empowers users to search through, archive, and retrieve files efficiently. Are your users overwhelmed by the variety of file formats and the sheer volume of documents? We delve into how Document Filters enhances efficiency and delivers customer value, significantly benefiting all users in the process. Furthermore, Document Filters enables software developers to embed top-tier file identification features into their applications. By utilizing intelligent file identification, Document Filters effectively analyzes source content without solely depending on the filename extension, ensuring more accurate processing. This innovative approach not only streamlines workflows but also elevates the overall user experience.

Media

Media

Integrations Supported

.NET
Azure Marketplace
C
C#
C++
Hyland RPA
IBM Data Refinery
IBM Watson
IBM Watson Studio
IBM watsonx Assistant
Java
Python

Integrations Supported

.NET
Azure Marketplace
C
C#
C++
Hyland RPA
IBM Data Refinery
IBM Watson
IBM Watson Studio
IBM watsonx Assistant
Java
Python

API Availability

Has API

API Availability

Has API

Pricing Information

$500 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/watson-discovery

Company Facts

Organization Name

Hyland

Date Founded

1991

Company Location

United States

Company Website

www.hyland.com/en/solutions/products/document-filters

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

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

Categories and Features

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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