Depths of Data with IBM Watson Discovery
March 02, 2023

Depths of Data with IBM Watson Discovery

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM Watson Discovery

We use Watson for several things:
  1. Content Analysis
  2. Personalization
  3. Knowledge Management
The scope ranges from analyzing educational content to providing personalized recommendations and improving knowledge management.

Pros

  • Content Anaylsis
  • Personalization
  • Knowledge Management

Cons

  • Quality of Data
  • Limited Training
  • Contextual Understanding
  • Less time spent analyzing text data
  • Shorter hold times for customers
  • Reduced costs from increased productivity
The platform is designed to be user-friendly and accessible to a wide range of users, including business analysts, content managers, and other non-technical professionals.
IBM Watson Discovery’s natural language processing capabilities has impacted our users’ experience by Improved Search Accuracy: With Watson Discovery's natural language processing capabilities, users can search for information using natural language queries instead of relying on specific keywords. This allows users to find relevant information more quickly and easily, even if they are not sure of the specific terminology or phrasing to use.

Do you think IBM Watson Discovery delivers good value for the price?

Yes

Are you happy with IBM Watson Discovery's feature set?

Yes

Did IBM Watson Discovery live up to sales and marketing promises?

Yes

Did implementation of IBM Watson Discovery go as expected?

Yes

Would you buy IBM Watson Discovery again?

Yes

Customer Support: Watson Discovery is used to improve our customer support by analyzing customer feedback and support tickets. By extracting insights from customer inquiries, Watson Discovery can identify common issues and provide recommended solutions to support agents.

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