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What is amberSearch?

Implement amberSearch to minimize your team's frustrations and boost their overall productivity. By adopting amberSearch, you can focus on high-value tasks rather than wasting time on monotonous internal searches. It enables you to concentrate on your goals by swiftly checking if relevant information is already available before starting new initiatives. As our world increasingly embraces asynchronous work styles, amberSearch eliminates the dependence on colleagues for responses, delivering answers instantly. With the rise of decentralized information, retrieving existing knowledge can become unnecessarily cumbersome, yet amberSearch acts as a centralized resource that allows users to effortlessly navigate various platforms. Its rapid adoption among users demonstrates the substantial advantages it brings, ensuring teams can optimize their efficiency and performance. Additionally, the user-friendly access and streamlined workflows facilitated by amberSearch contribute to a more collaborative and engaging work atmosphere, promoting teamwork and innovation. Consequently, embracing amberSearch not only transforms how your team operates but also fosters a culture of continuous improvement and adaptability.

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.

Media

Media

Integrations Supported

Azure Marketplace
IBM Data Refinery
IBM Watson
IBM Watson Studio
IBM watsonx Assistant

Integrations Supported

Azure Marketplace
IBM Data Refinery
IBM Watson
IBM Watson Studio
IBM watsonx Assistant

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$500 per month
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

amberSearch

Company Location

Germany

Company Website

ambersearch.de/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/watson-discovery

Categories and Features

Enterprise Search

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

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

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