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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 Asimov?

Asimov provides a crucial foundation for both AI-search and vector-search, enabling developers to effortlessly upload a variety of content sources, including documents and logs, which it subsequently processes by automatically chunking and embedding them, thus allowing access through a unified API that enhances semantic search, filtering, and relevance for AI applications. By optimizing the management of vector databases, embedding pipelines, and re-ranking systems, it simplifies the ingestion process, metadata parameterization, usage monitoring, and retrieval within an integrated framework. Through its features that facilitate content addition via a REST API and the ability to perform semantic searches with customized filtering options, Asimov equips teams to develop extensive search functionalities with minimal infrastructure demands. The platform adeptly manages metadata, automates the chunking process, oversees embedding tasks, and supports storage solutions like MongoDB, while also providing user-friendly tools such as a comprehensive dashboard, usage analytics, and seamless integration capabilities. Additionally, its holistic approach removes the challenges associated with traditional search systems, establishing itself as an essential resource for developers seeking to enhance their applications with sophisticated search functionalities. This allows organizations to focus more on innovation and less on the complexities of search infrastructure.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

$500 per month
Free Trial Offered?
Free Version

Pricing Information

$20 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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/watson-discovery

Company Facts

Organization Name

Asimov

Company Location

United States

Company Website

www.asimov.mov/

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

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