What is Watson Knowledge Studio?
Teach IBM Watson the language of your domain with custom models that identify entities and relationships unique to your industry in unstructured text. Build your models in a collaborative environment designed for both developers and domain experts, without needing to write code. Use the models in IBM Watson Discovery, IBM Watson Natural Language Understanding and IBM Watson Explorer.
Watson Knowledge Studio benefits
Teach by example
Empower domain subject matter experts to teach Watson the language of your industry or organization without requiring deep technical skills or coding.
Engage your experts
You won’t need a single line of code. With a multi-user collaborative environment and a powerful user interface, SMEs easily build custom models without any coding expertise.
Apply what you’ve taught Watson in multiple applications by using models from Watson Knowledge Studio in Watson Discovery, Watson Natural Language Understanding and Watson Explorer.
Watson Knowledge Studio features
Point-and-click model development
Annotation, training, evaluation, and deployment are all included in a single, intuitive UI. Annotation is as simple as highlighting words in your sample documents.
Intuitive model evaluation
Built-in quantitative measurements like precision, recall, and inter-annotator agreement, all presented in a model performance dashboard with suggestions for improvement.
Secure to the core
Data is encrypted at rest and in transit, and is PII, ISO27001, ISO27017 and ISO27018 certified, as well as GDPR compliant. Your data, your model, your IP.
Fast model deployment
Simple dashboard to manage model deployments; deploy and undeploy models to Watson Discovery, Watson Natural Language Understanding, or Watson Explorer with just a few clicks.
Dashboard for users and storage
Workspace administrators can easily monitor users and storage from within the WKS UI, enabling you to only spend money on users and gigabytes you need.
Team members, from subject matter experts to data scientists, are brought together in a collaborative environment. Easily invite users, assign annotation tasks, and adjudicate among conflicting annotations.
Preannotation relies on your dictionaries of industry-specific terms, or Natural Language Understanding, to automatically annotate words and thus bootstrap the annotation process.
Rule-based annotators (experimental)
Rule-based annotators can automatically recognize text written in specific patterns, like license plates, ICD-10 codes, or phone numbers; no human annotation needed.
Watson for Customer Feedback
Derive more value from every client interaction with Watson. Packaged options to suit your budget and use case.
Our analysts can quickly search through millions or billions of records in an instant to get individual outputs of what customers are saying about certain issues and why they’re frustrated.
Chief Executive Officer and Cofounder
With Watson Knowledge Studio, we could customize and train a lot faster and with more refinement.
Paul van der Hulst
Director of Data Analytics, Jibes
Customer success stories
Watson Natural Language Understanding
Analyze text to extract metadata from content such as concepts, entities, keywords, categories, sentiment, emotion, relations and semantic roles using natural language understanding.
Uncover connections in data by combining automated ingestion with advanced AI functions with Watson Discovery.