IBM Watson Curator overview

The ability of cognitive computing systems like IBM® Watson™ to provide accurate information quickly and with confidence depends on the collection and preparation of a large amount of trusted information. However, this requirement for relevant and reliable content with traceable provenance, available from a single system, is not typically met by most enterprise data.

Watson Curator is a Software as a Service (SaaS) solution that simplifies the process of building information collections. It enables you to locate, review, enhance, and track high-quality and highly relevant information for use by cognitive systems. In doing so, it reduces the work of identifying and managing the highest quality content by using a guided and repeatable process that makes subject matter experts more efficient and allows them to focus on what is most important.

Watson Curator offers cognitive solutions, such as Watson Engagement Advisor, the following benefits:

Simplifies the process of transforming raw data into high quality information collections that contain trusted, reliable, and current content
Guides curation teams through a streamlined, repeatable process of finding, reviewing, classifying, and enhancing with metadata the most relevant and highest quality data
Replaces time-consuming, labor-intensive manual processes with a single solution that combines best practices with technology to reduce the amount of time and effort that is needed to build and maintain information collections
Provides transparency into the source of information and the chain of custody, enabling governance of information collections with full provenance to assist with inquiries and challenges to responses
Provides a feedback mechanism that enables existing information collections to be updated and enhanced to further increase the quality of responses

What's new in IBM Watson Curator?
The March 2015 version of Watson Curator focuses on improving the productivity of curation team members while reducing the manual effort that is involved in curation.
Scenario: Curating content for IBM Watson
Watson drives value with expertise. By strengthening the partnership between people and technology, Watson enhances, scales, and accelerates the development of expertise, resulting in more people making better decisions across the organization. Developing expertise requires trusted information for training Watson. Trusted information is relevant, dynamic, defensible, and transparent. IBM Watson Curator implements the content curation methodology for cognitive computing that is known as the Watson Foundations Method. This methodology ensures that content that is prepared by Watson Curator is consumable by, and relevant for, Watson.
Scenario: Increasing the quality and relevance of IBM Watson Engagement Advisor responses
Cognitive solutions like Watson Engagement Advisor enhance expertise and provide actionable information to increase client satisfaction. For example, a healthcare provider might offer its customers a Watson Engagement Advisor solution that identifies various condition management programs, resources and activities to improve their quality of life. Unlike traditional systems, cognitive solutions are not programmed to provide the right answers; they are trained with trusted information to produce accurate, useful responses.
Scenario: Discovering and collecting content with IBM StoredIQ Data Workbench
IBM StoredIQ Data Workbench enables you to easily define criteria for data that you are looking for. It then shows you where the data lives with heat maps and visualizations of the results. In this scenario, a Content Curator collaborates with an IBM StoredIQ Data Expert to discover and collect useful information.
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