Semantic Search Engines With Added Precision
AI will continue to contribute to the new norm of an eCommerce website, i.e., the Semantic search engines.
Instead of displaying results merely based on keyword inputs, NLP (Natural Language Processing), and AI together will be able to help in understanding synonyms of the searched text.
Furthermore, NLP & AI enabled semantic search engines can quickly identify typos, suggest auto-correction, provide a dynamic display of targeted merchandising; enabling the customers to choose from more relevant search results.
Thanks to the modern AI-based solutions, real-time tracking of fleet and workforce from the first mile to last mile to the long haul is made possible.
Using heat maps and trend lines, businesses can now analyze the entire supply chain operations and also compare the planned vs. actual SLA’s.
The surreal turnaround that we have witnessed in the mobile apps over the past few years is unreal and unimaginable.
According to the research done by Global Web Index, 27% of the total Smartphone population around the globe is using voice assistant apps or voice search on their mobile devices.
No doubt that the expansion of technology has helped it, but it is the usability and the integration that has got more users hooked on to it.
We all are living in a digital space, and voice assistants have greatly optimized efficiency and speed, the two things that are endearing to the users.
The voice assistant applications can carry a vast amount of data with it with the help of big data integration and can save it in a very synchronous manner.
The other benefit the voice applications will provide to the businesses using them is new-age interactive marketing.
Voice search SEO keeps your website more visible although the most of the people were shift towards to the technology of the voice search.
Google voice search is one of the products of Google lab that is triggered by voice command.
It is driven by Artificial Intelligence (AI) and allows users to search by speaking instead of typing.Read more - http://5ines.com/blog/optimize-your-website-to-voice-search/
There is nothing higher than a Monday morning read, about things that are going to change the world, is there?
That voice that talks in the iPhone and the copied version of that Google Assistant or Cortana.
The year of two 2s and two 0s is upon us, and this is going to change the course of SEO forever.
If yes, a fake wave of celebration to you, you are doing an excellent job, good sire, way ahead of time.
For the rest of the soggy ones, start working on it, we are going to reach “destination hacked”.
Abbotsford Online Marketing is going to be affected the most; these bad boys are working really hard.
Voice search is somewhat of a new phenomenon, allowing users to use their voice when giving commands. While voice recognition may not have been used for Internet searches until a few years back, it has been in use for quite a while now. If you have ever worked with a program that has the speech-to-text feature or the voice dialing feature, you have already used the voice search technology. Even programs like Google Assistant, Alexa, Siri, and Cortana use the voice search technology in order to carry out orders.
For one, you can optimize your websites to be a better fit for voice searches. Brands are trying to design their interfaces in a way which would be compatible with voice search nowadays. This would help them get more traffic.
Why Voice Search SEO Matters to Business Owners?
The trending voice search technology will undoubtedly impact the way you frame your digital marketing strategies. In order to use voice search to your advantage, you need to prepare according to the changing landscape.
Voice Search SEO is going to play a significant role in how you craft your marketing schemes. Moreover, you will also have to take into account Google’s recent mobile-first index, which ranks websites based on their mobile version. You need to take your SEO game up a notch if you want to be visible, and that is where voice search comes in.
I asked: “Hey Siri, do you know Alexa?”
Siri replied: “I offer no resistance to helpful assistants!”
Reminiscing “Hierarchy of Anticipation” by Robert Stephens, one of the co-founders of Assist – The automated assistant platform for message and voice, Siri has been designed to recognize preferences driven by past behavior.
The most prevalent voice assistants for smartphones, available along with iOS and Android devices are Apple’s voice-controlled digital assistant for iOS, Amazon’s Echo (Alexa) and Google Voice assistant for both Android and iOS.
Nine years on from Siri, six years on from Alexa and four years on from Google Assistant; Apple, Amazon, and Google have spread their voice assistants far and wide respectively.
Siri is intelligent enough to handle all the language processing and semantic analysis that is required to turn these spoken requests into instructions that the app can handle.
Despite the fact that voice technology has been accessible and usable for several years now within our smartphone devices, consumers never really caught on to how useful these digital assistants could be until Amazon introduced Alexa through their Echo lineup.
According to Deloitte Global, the smart speaker industry and use of digital assistants will be worth close to seven billion US dollars and will have approximately 164 million units sold this year.
Even though smart speaker sales have been largely confined to English-speaking markets, with about 95% of the sales being in the United States and the United Kingdom alone, digital voice assistants are primed to enter other non-English markets this year.
According to Deloitte Global, sales should take off in countries that speak Japanese, Spanish, French, Italian, and Chinese (Cantonese & Mandarin), as smart speakers are starting to penetrate urban consumer markets in Germany, Urban China, Australia, and the United Kingdom alongside continuous sales in Canada and the United States.
This is mainly because smart speaker technology is finally becoming more sophisticated with regards to speech recognition and build quality and the market is seeing more demands for their use in commercial enterprises like hotel chains and fast-food restaurants.
Digital voice assistants have come a long way in speech recognition accuracy and as such, we are seeing machine learning narrow down the accent gap, no longer getting befuddled when presented with a strong national accent and Google’s word error rate for English speech recognition is down almost 50% since 2016.
