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Today, while traditional keyword based search is still relevant, there is technology based on artificial intelligence (AI) that is redefining our imagination. The biggest challenge while working with keyword based approach is that it is not always accurate when working with unstructured data. Today, data is growing exponentially and a major share of organizational data is unstructured. This calls for a more efficient approach and semantic search is the solution enterprises need today.The Challenges of Keyword Based SearchAccording to a study conducted by IBM, Stanford and MIT, search can be classified into 2 types navigational search and research search. The former involves looking for a specific document or page and this is where the traditional keyword gold wedges based approach works wonders.

In other words, it is all about results that are in context with the query.The semantic search engines use advanced cognitive features to understand the meaning of the query, and this opens new possibilities in relevancy and accuracy of results. So, when you type in a query, you get all relevant information, including the ones that feature synonyms and related terms. This broadens the scope and is great when you are working with data that is unorganized and unstructured. Enterprise data is mostly unstructured, with data collected from different sources, including email and social media.