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3 Technologies That Shape The Future Of Search Engines

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3 Technologies That Shape The Future Of Search Engines

3 Technologies That Shape The Future Of Search Engines

In the digital era, Internet and Google search are quite inseparable. Whatever you might be searching for, Google has an answer. But the way search industry is evolving over the years, it won’t be too late when Google and contemporary search technologies would be seen with the nostalgia of typewriters. And when it comes to optimizing your content for the search engine, you must consider the rapid change triggered by the dramatic innovations in the search technology.

SEO professionals look forward to the future changes, expecting a strategic move on behalf of the industry. Earlier the changes that happened were more on a smaller scale, and hence it is the revolutionizing change that the industry is waiting for. Those who have been in the search industry for quite some time can recognize how algorithm updates like Penguin, Panda, and Florida have brought in a sea change. Here are the four technologies which are expected to revolutionize the search industry:

Mobile Search

The mobile phones have already brought in a sea change in human lives, and it continues to do the same in the search industry too, perhaps on a larger scale than it ever did. Giving the mobility to the users and allowing them to navigate the web in any environment gives mobile search the edge. Unlike the earlier days, you do not need to pinch or zoom in a page to read out the texts. But if you believe that mobile search is restricted to only smartphones and tablets, you are wrong. There are smart watches and even internet-enabled vehicles which allow the users to search on the go. Speed is the most critical factor in any search, but when it comes to mobile search, it is even more important because the mobile devices lack the bandwidth of desktops. New development tools and technologies are used to make  websites suitable for the ever-growing mobile search.

Artificial Intelligence and Machine Learning

The artificial intelligence and machine learning have already marked their presence firmly but standing in the current day scenario, it is obvious that they have a long way to go. SEO and social media have previously identified the potential of AI and machine learning technologies in driving result. But a lot more needs to be worked out since AI is still in an infant stage, but how it can evolve over the years can be explained by a simple example. If you are in a geographically alien location for a business tour, and you have to leave for an appointment, you have to open the map app to guide you. This is precisely where AI and machine learning can intervene and help you out. AI can save you from searching the location manually by helping you out in the following ways:

  • AI can automatically open the app with the address on your calendar.
  • It can even offer a prompt service tallying the places you often visit.
  • Or AI can ask for your permission before booking the cab for you and help you reach the destination.

This exemplary service can be further explored, and the assistance can be provided in better ways and also in areas in which people have never expected it to be.

Voice Search

This particular search method has been tried quite a few times, but along with it comes a considerable portion of online garbage, since the misspellings couldn’t be ignored. But over the years, the development has gone way beyond expectations. It should be noted here that the keyword search has evolved dramatically, and the transition has been slow and steady. Starting with a rigidly keyword-based approach, it eventually shifted to a topic-based approach, with the concept of the ‘natural language’ being introduced into the mix, giving rise to an entirely new model. Even though the voice search has been in the market for some time, this new model has given power in the hands of an average person where a search can be done even without a keyboard and a mouse. As voice search keeps growing it will depend more on machine learning to enable the search engine to refine the brain behind the AI.

Are We Looking Forward to an Exciting Or a Terrifying Future?

Suppose you have a fever and you discuss it with your wife, and decide not to go to the office. You have Alexa in your room, and it listens to your conversation. Your boss automatically receives a mail applying for your leave, and your co-workers and clients are notified of the situation based on the calendar you had set earlier. But the next morning, when you wake up, you find a package from Amazon which contains a pack of throat lozenges, a bottle of Vitamin C and also a bottle of Echinacea. While you are wondering where it came from, you remember Alexa hearing to your conversation. The rapid adoption technology of personal assistant devices like Google Home, Siri or Alexa enacts according to what they hear. So what’s needed is the consistency and a more sophisticated and presumably more complex AI algorithm will prevent them from carrying similar actions.

As of now, you are at ease, since your AI is sharing half of your responsibilities, but it needs to be channelized and taught to understand your needs better.

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