April 22, 2018 By Deepika Devarajan 2 min read

Go Lite with Watson Knowledge Studio

Watson Knowledge Studio (WKS) is now available with a Lite Plan, as part of IBM Cloud’s Lite Accounts that never expire and don’t need payment information. If you are involved with analyzing text data and have never used WKS or if you had signed up to use the Free Plan of WKS on IBM Cloud, you should read this!

Watson Knowledge Studio was launched a few months ago on IBM Cloud as a powerful application that allows users to teach Watson how to interpret specific terms in unstructured text. With a no-code approach, experts in a domain (such as life insurance or infectious diseases) can use examples to teach Watson about specific terms that are common vernacular in that domain. Experts can train Watson in a collaborative environment that combines individual expertise into a trained machine learning model. WKS models can then be deployed into the text analytics pipelines of Watson Discovery, Watson Natural Language Understanding or Watson Explorer to customize text extraction.

Highlights: Watson Knowledge Studio Lite Plan

  • The new WKS Lite Plan replaces the WKS Free Plan and will continue to offer free forever access to WKS.

  • All WKS Free Plan users will be converted automatically to the WKS Lite Plan – no action required on your part.

  • All IBM Cloud Lite account users can now find and access WKS in their IBM Cloud catalog (previously the WKS Free plan was available only to IBM Trial and Paid account users).

  • WKS Lite Plan users can seamlessly upgrade to a Paid plan without needing to manually migrate their data.

With an IBM Cloud Lite account, you can now easily execute a full use case to build a WKS model and deploy it in Watson Discovery or Watson Natural Language Understanding, without paying a penny.

Check out the FAQ on Lite Plans for more information. If have any questions or comments, drop us a note.

 

Try Watson Knowledge Studio!

More from

IBM unveils Cloud Pak for Data 5.0

7 min read - Today’s modern technology landscape is experiencing an explosion of data. Organizations need to be able to trust and access this data to generate meaningful insights. Enter IBM Cloud Pak® for Data 5.0, the newest release of the cloud-native insight platform that integrates the tools needed to collect, organize and analyze data within a data fabric architecture. IBM Cloud Pak for Data 5.0 enhances users’ data strategies by including these new features Immersive Experience: Customers can now streamline their IT and day 2 operations with…

Unify and share data across Netezza and watsonx.data for new generative AI applications

3 min read - In today's data and AI-driven world, organizations are generating vast amounts of data from various sources. The ability to extract value from AI initiatives relies heavily on the availability and quality of an enterprise's underlying data. In order to unlock the full potential of data for AI, organizations must be able to effectively navigate their complex IT landscapes across the hybrid cloud.   At this year’s IBM Think conference in Boston, we announced the new capabilities of IBM watsonx.data, an open…

What is AI risk management?

8 min read - AI risk management is the process of systematically identifying, mitigating and addressing the potential risks associated with AI technologies. It involves a combination of tools, practices and principles, with a particular emphasis on deploying formal AI risk management frameworks. Generally speaking, the goal of AI risk management is to minimize AI's potential negative impacts while maximizing its benefits. AI risk management and AI governance AI risk management is part of the broader field of AI governance. AI governance refers to…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters