Will Cognitive Search (Whatever That Is) Change Because of Squrro?
July 2, 2018
We are not exactly sure what cognitive search is. That’s a plus. Changing cognitive search should be easy. Tweak technology, do some wordsmithing, and the landscape is different. I think this works for some search wizards in today’s fluid environment for information access.,
Cognitive search is ready to undergo a major shift and a few companies seem to be leading the pack. The way that we not only process search, but the questions we ask, could see a drastic change quite soon. We were alerted to this move from a recent product called Squrro, with their post “Add Context, Accuracy, and Speed to Your Enterprise Searches.”
According to the piece:
“Cognitive search is the new generation of enterprise search that uses artificial intelligence (AI) to return results that are more relevant to the user or embedded in an application issuing the search query. The benefits of understanding and extracting more insights from content changes search from, “This document has the keyword in the title so it must be more relevant” to understanding user intent…”
According to reports, a wide variety of businesses are responding to this more detailed ability of cognitive search to serve customers. For example, one Swiss insurance company recently adopted Squrro technology to provide customers with better search options. The company, Helevetia, claims its five million customers are benefiting from this change.
We will have to wait until industry fonts of wisdom like LinkedIn and CMSWatch provide their views. LinkedIn is, however, a Microsoft entity and there is that Fast Search ESP stub. CMSWatch often views the world from the perspective of content management or CMS. (Is there such a thing as cognitive CMS?)
Clarity will be forthcoming in step with the anticipated Elastic IPO. That financial event makes enterprise search more interesting again. Frankly making IBM Watson and Coveo equivalents did not do it for our research team.
Here in Harrod’s Creek, we want our old fashioned Boolean queries to return relevant results. We like the old school precision and recall approach.
Patrick Roland, July 2, 2018
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