We have data on 26 companies that use IBM Watson Knowledge Studio. The companies using IBM Watson Knowledge Studio are most often found in United States and in the Information Technology and Services industry. IBM Watson Knowledge Studio is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for IBM Watson Knowledge Studio usage goes back as far as 2 years and 11 months.
|Company||Aponia Data Solutions|
|Company||IT PEOPLE CORPORATION|
|Company||Tanisha Systems Inc|
|Aponia Data Solutions||aponia.co||United States||1M-10M||10-50|
|IT PEOPLE CORPORATION||itpeoplecorp.com||United States||50M-100M||50-200|
|Northwestern University||northwestern.edu||United States||>1000M||>10000|
|Tanisha Systems Inc||tanishasystems.com||United States||100M-200M||500-1000|
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Natural Language Processing (NLP). By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. In the Natural Language Processing (NLP) category, IBM Watson Knowledge Studio has a market share of about 0.8%. Other major and competing products in this category include:
IBM Watson Knowledge Studio is a cloud-based application that enables developers and domain experts to collaborate on the creation of custom annotator components that can be used to identify mentions and relations in unstructured text.
Looking at IBM Watson Knowledge Studio customers by industry, we find that Information Technology and Services (40%), Computer Software (12%) and Higher Education (8%) are the largest segments.
65% of IBM Watson Knowledge Studio customers are in United States.
Of all the customers that are using IBM Watson Knowledge Studio, 0% are small (<50 employees), 28% are medium-sized and 40% are large (>1000 employees).
Of all the customers that are using IBM Watson Knowledge Studio, 17% are small (<$50M), 22% are medium-sized and 29% are large (>$1000M).