Machine Learning Resolves Enterprise Search
August 26, 2015
One of the main topics of discussion on Beyond Search is enterprise search. We always try to find the juicy details behind enterprise search’s development, groundbreaking endeavors, and problems that search experts need to be aware of. One thing we can all agree on is that enterprise search is full of problems. The question is will all of enterprise search’s problems ever be solved?
Ron Miller proposed a possible solution on TechTarget’s Search Content Management blog, “Will Machine Learning Revamp Enterprise Search Software?” Machine learning offers a bevy of solutions for many industries and what is very intriguing about the process is that we have yet to scratch the surface of its possible applications. Miller points out that machine learning should deliver more accurate and broader search results than the traditional search index.
Miller imagines this scenario:
“I think we’re going to see tools where the machine can automatically generate results, based on what the user is working on. The information could perhaps populate onto a split screen, suggesting additional information that could potentially be helpful for the user, and then apply machine learning to the user’s response.”
He suggests machine learning driven enterprise search will anticipate a user’s information need and even help shape their daily work routine. These are very feasible conjectures and machine learning has already shaped such industries as the medical field and engineering. The main item to ask is when will machine learning become inexpensive enough to implement in enterprise search?
Whitney Grace, August 26, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
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