SEO consultant Qamar Zaman provides an overview of how Google MUM, run by AI, will transform the search space.
The MUM or Multitask Unified Model will intensify some search features in the coming months. A thousand times more powerful than BERT, Google’s upcoming search algorithm, MUM, is a new AI step for information comprehension. This latest algorithm has the potential to change the way Google Search returns results from complex queries that require multiple answers.
What makes MUM stronger than BERT, which came before it, is that it understands language and produces it. According to Pandu Nayak, Google Search Engine, MUM is trained in 75 languages.
“It is trained in 75 different languages and many different activities simultaneously, allowing it to develop a fuller understanding of information and world knowledge beyond the earlier forms,” wrote Nayak. .
One of the reasons MUM is so powerful is that it has the ability to understand multimedia information.
“And MUM is multidisciplinary, so it understands information in terms of text and images and, in the future, can expand into more forms such as video and audio,” Nayak continued to share.
To better understand how MUM works, Nayak wrote an example of how MUM interprets complex questions.
Take a question about climbing Mount Fuji: MUM could understand that you are comparing the two mountains, so high-level information can be important. It can also be understood that, in the case of mountaineering. , “preparation” can include things like exercise training as well as getting the right equipment, “explained Nayak.
In-depth MUM knowledge can provide insight and return detailed, accurate answers.
“Since MUM can produce light in terms of its deep earth knowledge, it can highlight that although both mountains are about the same height, rain is the rainy season on Mount Fuji so you may need a jacket that doesn’t fit. water. MUM can produce helpful articles for in-depth analysis – such as state-of-the-art tools or best-in-class tutorials – with helpful illustrated articles, videos and images from the web, “Nayak he wrote again.
Another advantage of using MUM to boost Google Search is its ability to remove language barriers. This new algorithm can transfer knowledge to all languages. According to Nayak, MUM can learn from unregistered sources from language users who have written their search and help bring that information to them. He gives a very helpful example of how MUM does this.
“It says there is a very helpful information about Mt. Fuji written in Japanese; today, you probably won’t find it if you don’t research it in Japanese. But MUM can transfer knowledge from sources across languages , and use that information to get the right result in the language of your choice. A beautiful view of the mountain, the onsen area, and the famous souvenir shops – all the information available most often when you search in Japanese, ”wrote Nayak.
Because MUM is so versatile, it understands simultaneous information in a variety of media formats. Nayak elaborates: “Finally, can you take a photo of your foot boots and ask, ‘Can I use them to climb Mount Fuji?’ MUM would understand the picture and link it to the question of “It can only work for you. It can point you to a blog with a list of recommended resources,” wrote Nayak.
With MUM’s powerful capabilities, Mark Sullivan, Google’s Liaison Liaison, predicts that search may begin to look like a search, and Google could act as a search assistant at the end of the user.
Sullivan wrote: “Unlike a genius who knows where everything is, he can act as an experienced research assistant.”
From the point of view of working websites, Qamar Zaman, SEO Consultant and CEO of KISS PR, predicts that MUM could affect search engine optimization techniques in the near future.
“The need to create improved multimedia content for longer tail words and interview queries is more important than ever,” Zaman said. “If you want your content to be up-to-date on Google after MUM is published, you need to do things that provide complete responses and solutions to the problems of your audience.”
Google says they will use data providers to evaluate the results that MUM will produce. The search engine reassures users of Google Search to look for signs of bias that may be displayed in the training material.
KISS PR Story, a leading PR storytelling / video company, helps businesses retell their stories and grow. Qamar Zaman is the CEO of KISS PR Story. By paying more attention to what your business does, your potential customers will understand why they should buy from you or use you – all of whom are telling them a story. your unique and compelling. Until then mom voice! You can follow Qamar Zaman for such light.
This article Google MUM – A new report by SEO expert Qamar Zaman helps to understand the future of search that emerged before BreezyScroll.