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Artificial Intelligence (AI)

The New SEO Game Changer – Google Voice Search

Google voice search is an alternative function that enables you to search or navigate the internet using Google through voice commands rather than typing.




Google Voice Assistant Google Voice Search

The widespread adoption of voice search technology is now one of the most significant developments in the digital world today. For users, it is a convenience at its best. But for businesses, this means coming up with strategies to stay relevant with the latest trends, according to one SEO reseller.

The rise of digital assistants is changing the way people do things. Today, you can literally ask a question to a smartphone and receive a human-like response – instantly. Think about anything, whether you want it to wake you up at 5:00 AM, or give you directions to the nearest gas station or even for the weather projections, and its but a tip of the iceberg. This is what millions of users are doing each day with Google Assistant, Amazon Alexa, Microsoft’s Cortana, Apple HomePod, and Samsung’s Bixby. It is safe to say that the voice search is here to stay. And if all aspects are held constant, then these assistants will soon be at the center stage of our normal lives.

Google Voice Search

If you aren’t convinced by this yet, maybe these statistics will serve as an eye-opener for you.

According to Gartner, voice searches will account for 30% of online browsing session by 2020.

A report by ADI Consumer Electronics reveals that more than 50% of all voice assistants’ owners use it at least once every day, with more than 20% depending on it for online shopping.

A 2015 survey by Mindmeld on 1,800 adult smartphone users in the US found that there has been a rise on voice search and voice assistant usage, with 60% stating that they have been using these tools in the last 12 months.

The latest research shows that 72% of smart device users use voice assistants as a faster, smarter, and more convenient way of searching something online, texting, shopping, and playing music.

Considering the uptake of smart devices, we can’t stop but wonder how voice search could be the new SEO game-changer. So, to gain some insights on the same, we talked to one SEO reseller and here is what we found out.

Understanding Google voice search

Google voice search is an alternative function that enables you to search or navigate the internet using Google through voice or spoken commands rather than typing. The technology is growing at a rapid rate and is going to revolutionize the digital marketing prospect sooner than later. Google voice search is not slowing down any time soon – in fact, no one knows how far it will go with regards to its influence in the online marketing arena. But still, one thing is clear; it has made online searches faster, accurate, and fun.

Google Voice Assistant

The role of voice-search in SEO strategies

One thing that explains the rapid growth of voice searches is Google’s 2013 ‘Hummingbird’ update that led to a shift in natural language processing. Today, users don’t have to modify their verbal communication while commanding the assistant because its algorithm understands user intent and query context and reads the snippets that include concise and precise answers. At the moment, the Google assistant supports around 60 languages and enhances voice search optimization.

Besides, the assistants depend on featured snippets that offer straightforward answers that are easy to read. Meaning, SEO experts may need to think about developing vast snippets to gain an edge in the voice search competition and also better engage with their prospects.

Despite the uptake of voice search, personal data breach and invasion of privacy are still top concerns for many digital assistant users. In fact, most users still prefer traditional systems for credit card purchases rather than depending on these assistants alone. So, even though the digital assistant has proven to be effective when it comes to entertaining, telling jokes and responding to simple requests, it’s still early days to predict whether voice search optimization will take over SEO strategies in the coming years.

Is it time for voice search optimization

The simple answer is, yes. If you optimize your site for voice search, then you are likely to be a step ahead of your peers. You don’t have to wait until everyone is doing it to join the bandwagon. Now is the right time to optimize your website as well as marketing strategies for voice search, as it gives you enough wiggle room without having to worry about losing your existing searchers.

The difference between voice and text-based search

Although both of them perform almost the same function, a majority of voice search users query the assistant as though they were talking to a person that’s listening to them. This makes the voice searches more direct and accurate.

According to the SEO reseller, optimizing your site could be forward-thinking and the best way to stay ahead of the curve.

We are an Instructor, Modern Full Stack Web Application Developers, Freelancers, Tech Bloggers, and Technical SEO Experts. We deliver a rich set of software applications for your business needs.

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Artificial Intelligence (AI)

How to Build a Rewarding Career in Data Science?

We’ll explore the interesting world of data science, investigate its numerous applications, and offer you valuable tips on how to establish and grow a successful career in this exciting new sector.




How to Build a Rewarding Career in Data Science

As the need for qualified data scientists grows, acquiring a Data Science Certification might lead to exciting new opportunities. Why Choose Data Science as a Career? This is a prevalent worry among students and recent grads interested in data science, predictive modelling, and AI/ML professions. If you are naturally strong with numbers, like solving riddles, and are naturally curious, consider a career in data science.

In this blog, we’ll explore the interesting world of data science, investigate its numerous applications, and offer you valuable tips on how to establish and grow a successful career in this exciting new sector.

1. Understanding Data Science: What Is It All About?

Data science is the process of gleaning valuable information from enormous databases. Understanding data patterns and making informed business decisions are aided by a combination of principles from computer science, statistics, and domain expertise. Businesses in every industry are racing to harness the power of data. This is where the services of trained data scientists with the appropriate tools may be invaluable.

2. Why Choose Data Science as a Career?

Before we go into how to get started in the industry, let’s discuss the advantages of a career in data science. Technological innovation is at the forefront of data science. From medicine to finance to retail to the arts, data science is having a profound impact. The potential to have an influence, solve problems, and make a difference in the world is great for those who work in this sector.

3. The Path to Becoming a Data Scientist

You’re obviously interested enough in data science to want to know how to get started in the field, so let’s talk about that. The road ahead may seem challenging, but with focus and strategy, you may make good progress.

a. Educational Foundation

A solid educational foundation is crucial for a successful career in the data science sector. Many data scientists get their start in the field by earning a bachelor’s degree in a quantitative field like Computer Science, Mathematics, or English. If you want to stand out in this competitive field, consider pursuing a master’s degree in data science or a related field or being certified in data science.

b. Develop Technical Skills

Data science requires a diverse range of abilities because of its technological nature. You should study Python and R since they are both widely used programming languages with practical applications in data analysis and machine learning. Use tools for displaying data, such as Matplotlib, and libraries for altering data, such as Pandas.

Understanding Object Lock A Shield for Data Immunity

c. Dive into Statistics and Machine Learning

Statistics act as the backbone of the data science field. Study the ins and outs of creating AI algorithms and statistical analysis. To get the most out of these strategies, try applying them to actual problems.

d. Build a Portfolio

The best way to display your ability is by practical practice. Take part in hackathons and open-source projects. A portfolio is an excellent way to demonstrate your skills and passion.

e. Network and Collaborate

Building your network in the data science community might open doors to paid and unpaid internships. Learn from industry experts by participating in seminars and online discussion groups. The results of collaborative activities are often shared knowledge and shared responsibility for tasks.

f. Stay Updated

Data science is a dynamic field that’s constantly evolving. Be informed about the latest advances in the area. Continuous learning is essential for keeping one’s competitive edge in the workplace.

4. Job Opportunities in Data Science

If you have a varied set of talents and a data science certification, you’ll be eligible for a variety of opportunities in the data science ecosystem.

  1. Data Analyst: Determine actionable insights from data via analysis.
  2. Machine Learning Engineer: Machine learning engineers develop and implement intelligent software that can teach itself.
  3. Data Engineer: Manage data pipelines and infrastructure.
  4. AI Research Scientist: Work as a scientist who focuses on artificial intelligence and does research to better the field.
  5. Data Scientist: Data Scientists use their knowledge and expertise in specialized fields to solve complex problems.

5. Final Thoughts

Data science may be a fulfilling and intellectually stimulating career. Start a productive career by investing in your education, technical skills, and experience. Data science certification might help you succeed professionally. Data science may be appropriate for you if you love data and want to change the world. If you study hard and work hard in this field, you can influence global enterprises.

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