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Watson Explorer

Combine the power of cloud-based enterprise search, content analysis and cognitive solutions to connect and view data insights across silos for better outcomes.

Watson Explorer is a cognitive platform that provides intelligent inputs that drive intelligent action, improved decision-making, and enhanced customer service by giving a holistic view of structured and unstructured data. Watson Explorer is a cognitive search and content analysis platform that gives you access to insights from all the data you care about, so you can drive business performance and growth.

Why is this different?

Unlike conventional processes to computing which can only handle neatly structured data, such as what is stored in a database, Watson can understand unstructured data, which is 80% of data today. Unstructured data consists of all of the information that is produced primarily by humans for other humans to consume. This includes everything from literature, articles, research reports, blogs, posts and tweets. While structured data is governed by well-defined fields that contain well-specified information, Watson relies on natural language that is governed by rules of grammar, context and culture. It’s implicit, ambiguous, complex and a challenge to process.

When it comes to text, Watson doesn’t look for keyword matches or synonymous like a search engine.  It actually reads and interprets text like a person. It does this by breaking down a sentence grammatically, relationally and structurally, thereby discerning meaning from semantics of the written material.

Watson understands context. This is very different from very simple speech recognition, which is how a computer translates human speech into a set of words.  Watson tries to understand the real intent of the user’s language and uses that understanding to possibly extract logical responses and draw inferences to potential answers through a broader array of linguistic models and algorithms.

How does Watson learn?

What can Watson do for your business?

Technical Aspects and Features