Cognitive Search: A Silver Bullet?
January 2, 2020
Search is a basic function that requires tinkering to make it intuitive and a useful tool for enterprise systems. In the past, most out of the box search solutions stink and require augmentations from the IT department to work. Enterprise search, however, has dramatically improved and that makes a slow news day for search experts. Most headlines based enterprise search include the latest buzz topics, like, “Significance Of Cognitive Search In The Enterprise” posted on Analytics Insight.
Cognitive search is apparently the newest thing. It is basically enterprise search injected with machine learning/artificial intelligence steroids. An undeniable truth is that enterprise systems are pulling their data across many systems, on site and in the cloud. A good search tool will crawl each dataset and return the most accurate results. Cognitive search uses AI to make search smarter aka “more cognitive,” which basically means the search tool learns from search queries, make search suggestions, and offer predictions. The official jargon sounds smarter:
“Cognitive search is associated with the concept of machine learning, where a computer system processes new insights and convert the way it reacts based on the newly gained data. By using the form of AI, it provides more in-depth search outcomes based on local information, previous search history and other variables. It also brings more specific results to an end-user as the cognitive system learns how an individual or system acts these searches.
This makes the cognitive search method a variable implementation into an enterprise’s network search capability.”
In other words, based off the latest technology craze enterprise search is going to become smarter and more intuitive for users! Blah, blah, semantic search, blah, blah, search engines, blah, blah, algorithms. It is the same “new and improved” spiel that comes every year.
Whitney Grace, January 2, 2020
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