![]() ![]() The search results are typically more accurate and naturally line up with your specific desires, whether you’re having a vegan ice cream craving or just want to know how it differs from vegetarian ice cream (is there such a thing?). Intelligent AI-powered search engine technology considers all of these variables, so you’re less likely to have to repeat a search query because the first one fails. Rather than know where you can buy it, you might just want to find out what determines authentic vegan ice cream, or what ingredients are in it. Then you can quickly zero in on the category you had in mind and drill down in the results. When you search on a broad-based term like this, an intelligent search application groups results in intent-based categories, like shopping options, recipes, and answers to frequently asked questions. AI-powered intelligent engines still use web crawlers and rank web pages, but the software also analyzes user intent. If you type “vegan ice cream” in the search box in Google, your experience will be considerably more impressive. This is where modern intelligent search solutions come in more handy. But you may have been looking for something more specific related to vegan ice cream. If you were looking for basic information on where you could grab a gallon of vegan ice cream, this search method could have worked fine. That’s pretty amazing when you realize that it wasn’t long ago when the only kind of search available was the “dumb” (for lack of a better word) kind, now called “traditional search.” What’s an example of traditional search?Ī few years ago, you might have done a text search on a website that used a traditional search engine maybe you entered something like “vegan ice cream.” You would have been presented with the highest-ranking pages for the term, basically a list of links to products on websites of various grocery stores that sold vegan brands. Once that’s identified, the right search query results can be provided. Also known as cognitive search and AI search, it utilizes a range of technologies, such as natural language processing (NLP) and machine learning, to better understand what each user wants. Intelligent search capabilities are what you get from a search engine that has the ability to “understand” user intent based on what the person enters in the search box. But smaller-scale, enterprise search-engine versions tailored for corporate knowledge bases and other use cases aren’t far behind in adopting this expanding functionality. That’s because it’s an intelligent search engine, in fact the smartest one on the planet. AI-powered search tools are now being used in applications ranging from corporate data management to ecommerce shopping experiences.įor instance, you’ve probably noticed lately how smart Google has gotten at giving you relevant information from the Web. The domain of search is one area where smart technology is certainly taking over. Artificial intelligence is powering more of humanity’s technology, and computers and software are “studying” and getting smarter every day. Emo PhilipsĮver wondered if (more like when) computers will get the bright idea to boot out their human overlords and take over? A computer once beat me at chess, but it was no match for me at kick boxing. ![]()
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