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IBM Watson Media (formerly Ustream and IBM Cloud Video) is an American virtual events platform company which is a division of IBM. Prior to the IBM acquisition, it had more than 180 employees across San Francisco, Los Angeles, and Budapest offices. Ustream had received $11.1 million in Series A funding for new product development from Doll Capital…
The analysis highlights History, Applications, Companies and Products as prominent areas in the source structure around IBM Cloud Video.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around IBM Cloud Video shows recurring relationship patterns in the source. For example, IBM Cloud Video → Barack Obama, California, Deadmau5, E-TARD The LifeCaster, Fox Sports, Georgia, Grohe, Herman Miller, Hillary Clinton, Jimmy Buffett, John Edwards, Kanye West, Lifecasters, Linkin Park, Mazda, Mr, Notable, Pennsylvania Wharton, Plain White T's, PlayStation Another extracted example is IBM Cloud Video → AI, API, Gold, HD, Here, IBM, Other, Platinum, Silver, Silver/Gold/Platinum, The. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
ibm video cloud ustream watson media million division new plans automatic content blocking acquisition years used silver gold platinum features
TTTA extracted 66 structured relationships around IBM Cloud Video. Examples in this analysis include IBM Cloud Video → Available in → English, German, Hungarian, Japanese, Russian, Spanish and Korean and IBM Cloud Video → Commercial → Yes. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| IBM Cloud Video | Available in | English, German, Hungarian, Japanese, Russian, Spanish and Korean | 1.00 | infobox |
| IBM Cloud Video | Commercial | Yes | 1.00 | infobox |
| IBM Cloud Video | Current status | Active | 1.00 | infobox |
| IBM Cloud Video | Launched | March 2007; 19 years ago (2007-03) | 1.00 | infobox |
| IBM Cloud Video | Native client(s) on | iOS, Android | 1.00 | infobox |
| IBM Cloud Video | Owner | IBM | 1.00 | infobox |
| IBM Cloud Video | Registration | Optional | 1.00 | infobox |
| IBM Cloud Video | Type of site | Video streaming | 1.00 | infobox |
| IBM Cloud Video | URL | ibm.com/watson/media | 1.00 | infobox |
| Hillary Clinton | instance of | Notable usersIBM Cloud Video was used by politicians | 0.80 | text |
| Barack Obama | instance of | Notable usersIBM Cloud Video was used by politicians | 0.80 | text |
| John Edwards | instance of | Notable usersIBM Cloud Video was used by politicians | 0.80 | text |
The concept neighborhoods around IBM Cloud Video bring nearby vocabulary together. In this analysis, examples include Video, Cloud and Ibm. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For IBM Cloud Video, one of the stronger structural bridges in this analysis connects IBM Cloud Video with Notable users. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around IBM Cloud Video to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Applications, Companies & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — IBM Cloud Video · EN edition · Analysis: TopicsToTalkAbout