Enriching content exploration and discovery with supervised machine learning

As enterprise enters further into the digital age, data has become the strategic asset that knowledge workers, small or large, rely on to guide their decisions. However, managing such large volumes of data has exposed some unprecedented challenges for the enterprises. Enterprises have learned that the data that they hold, comes in a variety of formats, resides in different and distributed systems and is specific to the organization and its domain. Setting these challenges as the backdrop, IBM’s Watson division has built solutions that not only allow for data connectivity but also the analysis of unstructured data and its customization to an enterprise domain. Figure 1: Watson Explorer analyzing medical device content residing in multiple data sources. IBM Watson Explorer is Watson’s flagship product for text analytics and discovery. Watson…


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