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Knows about everything and has everything. This is the principal motor for searching something, Google, is capable of processing more than 1.000 millions of petitions daily. Key words, images, news, movie billboards, recipes, tutorials, song lyrics, time or flights…nothing resists the number in this search engine.

“Nothing resists Google. It can process 1.000 millions de petitions daily.”

This responsibility is not allowed to stay behind. That’s why, this great, justified, Larry and Sergey Brin page, keeps on making us greater. What is this reason? A little bit ago, a new way of intelligent searching is focused on artificial intelligence. In the future, it makes sense waiting for Google to have more precise searches, but until what extent is this tool unbeatable?


How does Google’s new way of intelligent searching work?

Since it is easier showing something than describing it with words, Google is working on what has already been baptized in Google’s Visual Search (a supplemented version of what Google Googles failed). Now, you can find an Internet product by seeing a picture of it on your phone or an image we have kept.



In case of having a doubt, Google has established a series of categories to help recognize an object: Clothes, footwear, backpacks/bags, sunglasses, barcodes, products, places, cats, dogs, and flowers. These categories not only help improve the search velocity, but Google’s Visual Search will continue to learn. When searching something, Google will show us images of a carrusel, products or similar results.



 Some experts consider this method will face some issues in regards to camera problems, not being able to recognize all the objects, even though this function has stood out in tries. Is the brand thinking about introducing a new Google Assistant system?

What´s certain is Google was born as an Internet searcher, but since technology has kept advancing, ways of finding things online have changed. As we know, the search engine gave the first step in regards to the indexing process associated with keywords (only appeared as searches with one concise word). The semantic search added a natural language (did not appear as a word, but as a meaning associated with it) and from then on, machine learning was added to contextual searches. 

What is the second step?

Just like Forrester mentions, there is no doubt searches will pass by cognitively, adding a human interaction, we have to keep in mind the tool is part of the new generation of business searches. A piece of information we should not miss out on is 54% of workers are interrupted by their work from information searches, doubts, and answers.

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As we have observed in the graphic, everything seems to indicate, in the future, we will get to know the “Neural Lace” a concept developed by Lain M. Banks, when the brain works as a dispositive. Is this unlikely? We do not for sure, but what we do know is technology keeps on advancing with big steps and especially with intelligent searches.

What about you? Do you think the new Google intelligent searches will be successful?


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