IBM Watson Discovery | TrustRadius

Overall Satisfaction with IBM Watson Discovery

Use Cases and Deployment Scope

Its advance OCR helps organization to recover valuable text from old editions of printed magazines

Pros and Cons

Pros

OCR which helps extracting text from old editions of magazines
It helps extracting text from low-quality scans which was stored in database, fonts which are not available now, and varied backgrounds.
As this works beyond traditional keyword-based search by leveraging Natural Language Processing (NLP) and machine learning to understand context, this helps lot.

Cons

Prices always comes first when asked for improvement. Little pricey compare to other products in competition
Slow performance with large set of data.
Complex setup

Return on Investment

ROI is not impressive
Slow in performance when there is a large pool of data
Challenges while integrating with API or platforms which is not compatible.

Usability

5

Keeping its high cost and complex to setup with certain limitations, this is not the best product in the industry to choose from.

Alternatives Considered

Azure AI Document Intelligence and Alibaba Cloud Elastic Compute Service (ECS)

Weightage given for name IBM

Key Insights

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

No

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

Yes

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

I wasn't involved with the selection/purchase process

Did implementation of IBM Watson Discovery go as expected?

Yes

Would you buy IBM Watson Discovery again?

No

Other Software Used

AWS App Mesh, Google Analytics, Microsoft 365

Likelihood to Recommend

It suits when recovery from old, unclear text, poor scan.

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