IBM Watson Discovery
Use Cases and Deployment Scope
Its advance OCR helps organization to recover valuable text from old editions of printed magazines
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
Alternatives Considered
Azure AI Document Intelligence and Alibaba Cloud Elastic Compute Service (ECS)
Other Software Used
AWS App Mesh, Google Analytics, Microsoft 365


