Devops Engineer at a comms service provider with 1,001-5,000 employees
Real User
Mar 27, 2018
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.
IBM Watson Explorer integrates diverse information using AI to uncover insights from unstructured data. It excels in data visualization, simplifying complex queries and enhancing machine-learning integration with ease of use through its APIs.IBM Watson Explorer stands out with its ability to analyze unstructured data and provide visual representations, aiding in simplifying complex queries. Its machine-learning integration and easy-to-use API functionalities offer businesses unique insights....
The solution is used for a government company for data collection and analysis.
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.