Artificial Intelligence

Artificial Intelligence, Digital Solutions, Voice Search Optimization, Website Development Company

Guide To Voice Search Optimization

Until 2011, voice search or voice assistant or even voice search optimization had never been used by people. Once Siri was introduced, it was considered by people as a tool for making them laugh and handling their to-do list.

Not many people predicted that looking for voice would be a big future phenomenon. Not many people predicted that searching for voice would become a major future trend. Yet voice search has grown just like everything else. And it is said that 50% of the searches will be through voice search by 2020.

Google research showed that people are using voice search because of the following advantages:

Users can easily multi-task with voice searches when searching for things.
It gives convenience to people in their daily tasks.
Searching for voice helps people search more easily than any other app.
Users can get the answers and knowledge they are searching for instantly.

Users already use voice assistants to get their routine right, such as setting the alarm, calling their family, making an appointment, feeding their pets, etc. this also presents a huge marketing opportunity for advertisers and owners of small businesses. Since digital problems need digital solutions, small businesses often need help from the professionals, that’s where we come in.

Optimized for searching semantically? Only think about yourself, Lucky!

If you have heard of changes in Google Hummingbird, I’m assuming you’re aware of semantic search. If not, this is going to be the case. Google found that more keyword searches should be introduced than basic queries. They needed talent. It gives rise to comprehension. Rat than simply questions, keyword fragments, Google started to examine the context behind each query. In doing so, Google was able to predict people’s intent to look for online items. This prompted advertisers to turn to the optimization of voice search.

Forget the long list of pointless keywords for your quest that you need to customize. Avoid seeing search queries as words and change your mindset to mindset optimizing voice search.

The optimization of voice search mindset

In ancient times, by imitating others, the cave people used to live. Our ancestors have worked hard and grown like crazy, which is how generation after generation we will live. Whether you’re an entrepreneur or employed in a tedious job, you are going to die of you don’t change. The same applies to your article. You need to get your hands dirty with voice search optimization if you want to deal with the formidable rivals out there.

With that mindset, we need to focus all our efforts on optimizing voice search. Rather than leave things as they are. It’s time to begin delivering content that responds to the customer’s needs. To do this, you first need to get rid of the over-optimized text lingering on your main page that is not going to serve any big purpose now. As the saying goes, the right SEO is a win for all.

Transform keywords into requests

Understand that it is quite different for people to type and speak. For example, if someday decides to buy a new tv, they’re going to type “buy television” while they’re going to go like this if they say the same thing. “What’s the best tv?”

Are you able to see the difference between the two in Semantic Search? Luckily online tools will help you do this. Response to the public is one such device. A fascinating method takes as an input one root keyword and provides a list of commonly asked keyword questions.

The “People Even Ask” functionality in Google works similarly. Only type in any question, and you’ll get what you’re looking for online.

Ouriken is a standalone web design and digital agency. We design and implements powerful solutions for small and medium businesses in technology, business, and operations. Our digital solution services not only help the client create integrated digital ecosystems but also to strengthen brands, increase ROI, new business value.

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Artificial Intelligence, Website Design and Development, Website Designing, Website Development Company

What is Web 1.0, 2.0, & 3.0?

Web 1.0

In the evolution of the World Wide Web, Web 1.0 refers to the first stage. With a huge majority of users who are content consumers, there were only a few content creators in Web 1.0. Personal web pages were normal, hosted on ISP-run web servers consisting mainly of static pages, or on web hosting services.

Advertisements on Web 1.0 were banned while surfing the internet. Web 1.0 enables to showcase of the piece of information on the websites which is known as Content Delivery Network (CDN) also can be used as personal websites. Cost formula is per page view and it has directories that enable users to retrieve a particular piece of information.

Design Essentials of web 1.0

Pages are static.
From the file-system of the server, the content is served.
Using Common Gateway Interface (CGI) or Server Side the page sare built.
To position and align the Elements, frames and tables are used on a page.

Web 2.0

User-generated content, usability, and interoperability for end-users are some of the highlights of Web 2.0 which is also known as a worldwide website and another name for it is a participative social web. It doesn’t refer to any modification to technical specification, but to recreate in a good way web pages are designed and used. When the changes have occurred the transitions are beneficial, but it doesn’t seem that way. Collaboration is allowed with each other by Web 2.0 in a social media dialogue as the creator of a user-generated cant in a virtual community. Web 1 is an enhanced version of 2.0. In web 2.0 development the browser technologies are used, and it includes ajax and JavaScript Frameworks.

Features of Web 2.0

It permits users to retrieve and classify the information collectively, and it also provides free sorting of information.
It provides dynamic content that is responsive to user input.
By means of evaluation and online commenting, information flows between site owners and site users.
APIs are developed to allow self-usage, such as by a software application.
Web access leads to an issue different from the traditional user base to a wider variety of users.

Use of Web 2.0

To share the perspectives, thoughts, opinions, and experiences the social web contains a number of online tools. Web 2.0 applications tend to have a conversation much more with the end-user. The end-user is also a participant of the 8 tools mentioned below:

Podcasting
Blogging
Tagging
Curating with RSS
Social Bookmarking
Social Networking
Social media
Web content voting

Web 3.0

The evolution and utilization of web interaction with the inclusion of alteration of the web into the database. After a long time of focus on the front-end, it enables the upgradation of the back-end of the web. To describe the evolutions of web usage and interaction among several paths web 3.0 is used. Instead of owning data, it is shared, where services show different views for the same data / same web. All the development process is done in Web 3.0, and all the Website Development Companies uses Web 3.0 for the website designing services.

Establishments of “the world’s information” is promised by the semantic web (3.0) in a responsible way than Google can ever attain with their existing engine schema. From the perspective of machine conception, this is particularly true as opposed to human understanding. It is necessary for the semantic web for the use of a declarative ontological language like OWL to produce domain-specific ontologies that machines can use to reason about information and use it make new conclusions, and not simply match keywords.

Features of Web 3.0

Semantic Web

There is an involvement of the semantic web in succeeding in the evolution of the Web. In order to create, share and connect through search and analysis based on the capability to comprehend the meaning of words, instead of keywords or numbers, al this is used in the development of and improvement of the semantic web.

Mixing this capability with natural language processing, computers can distinguish information like humans in order to provide faster and more relevant results in web 3.0. to fulfill the requirements of the user it becomes more and more intelligent.

3D Graphics

In Web 3.0 the three-dimensional design is being used widely in websites and services. Computer games, museum guides, eCommerce, geospatial contexts, etc. are some of the examples that use 3D graphics.

Connectivity

Thanks to semantic metadata, the information is more connected to web 3.0. As a result, the UI evolves to another level of connectivity that leverages all the available information.

Ubiquity

The services can be used everywhere, content is accessible by multiple applications. Every device is connected to the web.

Ouriken is a standalone web design and digital agency. We design and implements powerful solutions for small and medium businesses in technology, business, and operations. Our standard web designing services include many features that contain home, blog, images, faq, contact us and many more. It is the best website designing firm.

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Artificial Intelligence, Business Process Management, CRM Software, Digital Solutions, IoT

Why Businesses Must Integrate Artificial Intelligence [AI]?

In 2017, Artificial Intelligence became one of the hottest topics and is still attracting attention and investments. There was a void in businesses without AI – Artificial Intelligence, before that social networking, mobile apps, the Internet of Things, and Data Analytics have filled that void. Scientists have been working upon the technology and been talking about the benefits of AI from the past four decades, it’s about time that society’s AI dreams are coming true.

When the term AI is told, people think of the AI we encounter in personal lives which is web ads dependent and based on our search history, facial recognition on Facebook, or the IVR of banks or other companies. Or perhaps, some people think of personal digital assistants namely, Siri (Apple), Alexa (Amazon), Cortana (Microsoft), and Google Assistant (Google). But AI applications impacted both consumer and business operations. For example, a Harley Davidson dealer implemented an AI-driven marketing platform into his marketing mix and the results were astonishingly high. He witnessed a 2930 percent increase in sales, which literally tripled his business over the previous year. But every AI integration is not as successful as that dealer. Social Networking and Smartphones were into the consumer world first then they moved into Business, in the same way, we can expect AI to seep into business applications in a natural way. However, with an increase in the volumes of people, places, and things plus there is also an increase in computing speeds and real-time processing power. AI applicability and business benefits are becoming a reality with immediate effect.

AI Estimations

A survey of Cowen and Company, currently 81% of IT leaders are investing in or planning to invest in AI. CIOs are also heralding to their companies for the integration of AI into their entire technology hub. Meanwhile, 43 percent are doing a proof of concept for AI, and 38 percent of organizations have already implemented AI and been planning to invest more into it.

Estimation from McKinsey research states that tech giants spent $20 billion to $30 billion on AI in 2016. Of that, R & D and deployment will get 90 percent and 10 percent to AI acquisitions. Artificial Intelligence will grow to a $47 billion market by 2020, says industry analyst firm IDC with a compound annual growth rate of 55%. Companies will spend around $18 billion on software applications, $billion on software platforms, and $24 billion on services and hardware, states IDC. Your business will risk irrelevancy if your business doesn’t already have a strategy to incorporate AI or machine learning (ML) into your development efforts by 2020 that too with this level of investment.

Related Post: What is Internet of Things [IoT]?

Exponential Growth of AI

Google, Amazon, and Facebook are leading the AI race right now, with Microsoft just behind between those three are catching up rapidly with the investment of a lot of time and resources in AI. With access to thousands of researchers on staff and billions of dollars set aside for investing in capturing the next generation of leading data scientists, proving these organizations a head start over the rest of the market. For example:
1. Google’s 25,000 engineers, only a few thousand are knowledgeable and proficient, that makes roughly 10 % and they are making efforts to make that number 100 percent.
2. The AI and research group at Microsoft grew by 60% through hiring and acquisitions in the first year of its operations.
3. FBLearner Flow is being used by over 750 Facebook engineers and 40 different product teams, which helps them leverage AI and ML. Over a million models have been trained on the new software.

Moreover, Infor, Microsoft, and Salesforce have also been researching and implementing AI in their business. In the market today, these tech giants are just a few of the serious artificial intelligence contenders. It makes smaller companies very tough to attract and retain the skilled work required to make their AI dreams a reality. Recruiting efforts won’t just be it to create an impact, but also the time required to conduct a new employee onboarding, supervised learning, and training to effectively scale AI programs.

Most companies lack analytical infrastructure and general knowledge needed to apply AI and ML to its full potential. Secured access of data without having to deal with multiple authentications must be enabled by engineers. Often it’s a case if the company has several isolated data warehouses or enterprise resource planning application systems. IT leaders must have the ability to bring large data sets together from several unique and varied data sources into centralized, scalable and observed data repository, for this they have to attempt to successfully deploy and conquer an enterprise-wide AI strategy.

Development of AI Applications Market Place

When it’s clear that the use of AI is important, not all companies have the IT budgets to hire the employees required to build AI-fueled applications that too in-house. For that reason, we can expect to see on an immediate effect, the rise of AI services marketplace in the near future. There is already an emerging form of companies providing AI self – service tools that are very easy to use for the non-data scientist and not that expensive to acquire. These AI market places will resell AI services and specialized algorithms that companies can completely buy and implement within their business, which will make the business process management more easier to handle. To compete in this race of AI, this marketplace will provide companies AI services which are in a modest budget.

Conclusion

We have only seen a few examples of the major AI benefits, we will see a rise in the integration of the AI in the coming future. Having the roots in computer science since, a few decades. It is only now that this concept is getting popular among the organizations as well as the consumer applications, and the need for it increasing day by day. By embedding AI into the core functions of the software enterprise software providers are making AI a necessity. We can see this integration more in the coming years. For businesses, this will mean that they no more need to hire computer scientists or invest large capital to develop their own AI systems.

Ouriken is a standalone web design and digital agency. We design and implements powerful solutions for small and medium businesses in technology, business, and operations.