IBM Watson Explorer Primary Use Case
We use WEX for one of our applications called Watson for HSEQ. It's performing brilliantly. We bring together over 11 databases, process over 1.2 million documents, and effectively, from there we can do great visualizations. Also, Watson is starting to do basic analysis for us as well. It's really good.
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DevopsEn35ff
Devops Engineer at a comms service provider with 1,001-5,000 employees
It's hard to say, simply because the team level is pretty big.
My specific use case would be taking raw, unstructured data, and using the Watson Explorer services, the NLU, the WKS, the Knowledge Studio, to create relationships between entities, and certain phrases - they always say, their "utterances" - and produce a graphical output and an Excel-type output that coincides with that graph. The goal is to give us sentiment, and break those different entities, and subject matter, out into four different buckets.
View full review »It's primarily used with business analytics and also to take care of some of the fraud detection.
I've been using it for two years and it has been working well.
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Data Mining
March 2024
Find out what your peers are saying about IBM, SAS, Knime and others in Data Mining. Updated: March 2024.
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We are constructing a heterogeneous knowledge base from scientific papers and from about 100 different publishers, around 50,000 titles of scientific journals. We are using Watson to create a big index of the articles.
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reviewer1319820
Lead Engineer at a computer software company with 10,001+ employees
The solution is used for a government company for data collection and analysis.
View full review »I'm working on development of an application with a bank, Banco Bradesco, and they use it to integrate with Watson. It's a new technology for the bank and they continue learning technical and other skills for this technology, to apply this app in the future, to integrate with other technologies in the bank as well.
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SalesEnge92b
Sales Engineer at a tech vendor with 501-1,000 employees
I was just running a PoC with a showcase between our integration on our platform to the Watson STK essentially; using the cognitive responses that we could give it, using natural language and sentiment analysis.
Essentially, we would take natural language that was happening in our repositories and our application and then feed it to the Watson APIs, and then we would receive JSON payloads as an API response to get cognitive feedback from the repository data.
We are analyzing unstructured data using Watson Explorer.
We are business partners and have been implementing it for customers for about three years already, and we are quite satisfied.
The main use case is FAQ for the user.
It works for almost 80% of the use case coverage. It works.
View full review »Buyer's Guide
Data Mining
March 2024
Find out what your peers are saying about IBM, SAS, Knime and others in Data Mining. Updated: March 2024.
768,740 professionals have used our research since 2012.