ImplicitSearch™'s ability to find something "like" something means it can be used to classify content via its implicitness.
It's as easy as 1-2.
ImplicitSearch™ is breakthrough, personalized ML search with patent-pending AI that learns on the fly by whatever you train it with.
Find content like already-classified content then simply tag it.
Do this for as many content types as you like. It's entirely up to you and what you use to train the ImplicitSearch™ engine powering your personalized search session.
We don't limit the number of searches you perform - nor do we limit the number of users at your organization.
New content types emerge continually in our data-rich and digitally transforming world. As new content types are created and managed, regulations governing their security and access are oftentimes enacted as well. This means companies need to know things like WHAT they have, WHERE they have it, WHO can access it and WHY, and WHEN it must be destroyed.
ImplicitSearch™ is useful for answering the WHAT question that then feeds the rest of the regime.
Simply start a new ImplicitSearch™ session, train it on what you're looking for, and then classify those results that come back.
This can be done at the document level, or at the content element (within a document) level.
Want to classify the text content within a PDF or image? Or find other content implicitly similar to the text content in that PDF or image?
Do you have Robotic Process Automation (RPA) bots pulling in loads of content but it's piling up because you're not sure what's in it or who the best teams are for reviewing it?
Classification is useful for ...
The paint image above was chosen for a reason. Once you classify and understand the content you have (or are able to find more quickly versus keyword search or other AI search techniques) you can start "painting a more accurate picture" of what's happening in our content-rich and digitally modernizing world.
And since the ImplicitSearch™ experience is enabled via API calls, and is offered as a subscription service after a one-time-setup, YOU can use this technology to power YOUR solutions so that YOUR customers can do the same.
The functionality described above refers to document / content classification which is defined generally as assigning information to one or more classes or categories.
This is different from machine learning classification algorithms such as Decision Trees, Neural Networks, Nearest Neighbor, or Linear Classifiers.