How Google Is Using Artificial Intelligence: The Ultimate Guide

How Google is Using Artificial Intelligence: The Ultimate Guide

Artificial intelligence has greatly boosted in the last decade, especially after the launch of advanced generative AI tools like ChatGPT and Gemini.

Companies are investing billions in grabbing all possible opportunities to develop the most reliable AI. OpenAI is a big example that has given a new face to artificial intelligence. Meta and Amazon are all establishing research units to give humans the best AI experience; it all started some time ago. However, in this hoard, there is one company that has been working with AI for the last two decades: Google.

How Google Is Using Artificial Intelligence

Google is using artificial intelligence to generate better search results, provide the best routes to travelers, and detect spam in emails; they have powered each of their products with complex AI algorithms. 

Within the last two decades, Google has been able to develop products like language translators, which were completely developed using complex machine learning algorithms. As of 2024, Google has become so powerful that it understands search queries better than humans. Google is using artificial intelligence in its latest algorithms like BERT, LaMDA, and MUM, enabling it to provide better results and experiences to users.

Here are five ways Google is using artificial intelligence:

  1. Maps

Google Maps is one of the most complex products that Google has developed. It helps find locations and the best routes. The AI that supports Google Maps is so intelligent that it can analyze the most tedious details and let you know the traffic on upcoming routes, such as Starbucks near you or a small salon you visit frequently.

  1. Youtube

Billions of videos and shorts are uploaded daily on YouTube. Google has developed AI that automatically finds the best video for you so that you keep scrolling. Not even YouTube algorithms are so advanced that they can auto-generate captions and make them fit for those who can’t hear properly.

  1. Assistant

Google uses a wide range of neural networks combined with machine learning algorithms to generate the required results according to the user’s task, whether setting up reminders, switching up the fan, or answering simple questions. The AI can pick up the user’s voice and perform all the tasks mentioned earlier.

  1. Emailing and Advertising

Google uses artificial intelligence to filter unwanted emails from your bucket list, detecting spam and viruses in your emails. Google also empowers its advertising services with AI, allowing advertisers to target the best audience available in different geographies. 

  1. Google Search:

Google has developed complex AI to empower its understanding of users’ intent and every query they search on their browsers. Google has launched a lot of algorithms that have been making this successful for them. A few of them are RankBrain, launched in 2015; Neural matching, launched in 2018; Bidirectional Encoder Representations from Transformers (BERT), launched in 2019; and the latest one, Multitask Unified Model (MUM), launched in 2021.

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What’s The Buzz About Google Cloud AI Tools?

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Google Cloud was primarily launched in 2008, with features like the Google App Engine, showcased as a tool to help developers in API and web app development with a serverless runtime environment.

So what’s the big deal? Why is it creating a buzz again after almost 15 years of existence?

What is Google Cloud? 

Google Cloud is a library of different cloud computing services, such as hosting, data storage, big data analytics, Networking and computing, and machine learning. 

These services are developed so businesses can quickly go digital over the complex internet. Google Cloud is open to all. Experts can easily access all the mentioned services through the cloud.  google.com.

Below are a few services that can be accessed through Google Cloud Suite:

1. Cloud AutoML

GC provides this machine-learning service to help professionals and data scientists efficiently deploy and test custom machine-learning algorithms.

2. Cloud Natural Language

It is another machine learning service that helps developers and analysts with sentiment analysis, language understanding, and entity recognition.

Other ML services covered by Google Cloud are Cloud Speech-to-text, Cloud Text-to-Speech, Cloud Translation and Vision APIs, and Cloud Video Intelligence.

3. Compute Engine

Google Compute Engine (GCE) is a hosting and computing unit of Google Cloud Service that lets developers test and run applications on Google hardware provided by Google Cloud. This is based on Google’s global platform, which hosts YouTube, Gmail, and search engines. GCE is an infrastructure-as-a-service (IaaS) product designed by Google. 

GC also covers other computing and hosting services, such as the app engine, cloud run, and cloud functions. In hosting, GC also supports storage facilities such as Cloud Storage, Cloud SQL, Cloud Bigtable, and Datastore.

4. Cloud CDN

Cloud CDN  is a networking service provided by Google Cloud. It is a content delivery network deployed on Google’s global network to help businesses grow their reach to the audience with their applications.

VPC, Cloud Armour, Cloud DNS, Clour load balancing, and Interconnect are other networking services that Google provides through GC.

5. Cloud SDK

It is a developer tool provided to developers that ensures smooth interactions between multiple languages. Cloud SDK is a cloud-specific library that supports the natural conventions and styles of different languages.

Google provides other developer services under GC, such as Cloud Build, Cloud Code, Cloud Task, and Cloud Scheduler.

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Google Search’s Guidance About AI Content

Google has been working to make search easier and more human-related. They have developed their products so that out of billions of blogs uploaded daily to Google search, they have provided the best content to the users. Google wants all content uploaded to be created for humans, not for Google algorithms.

Google has laid down various guidelines that content creators must follow to ensure they get the best from the search engines; here are a few of them:

1. Focus on E-E-A-T

Google has clarified that whether you produce content manually or use any generative AI tool must complement their EEAT policy.

EEAT stands for expertise, experience, authority, and trust. Google’s algorithms are designed to detect whether a piece of content has all these four features, and if you miss any of those, you’ll probably not get any benefit from Google.

So make sure while creating any piece of content, you take references from the best sources, get expertise in what you are writing, and ensure that nothing is copied from some other source; make sure that you are technically correct with facts and attach good references to prove yourself.

2. Create people-first content

Try to generate content that is more relatable and helpful for the users. Ensure you are not telling what others are saying because Google believes it will not add any extra value to the user looking for a particular piece of information.

Consider whether the user will stay on your website after reading your content. If not, then it’s not people-first content. 

3. Provide a better User experience.

User experience is one of the most important factors in improving user retention; hence, make sure that your website is mobile-friendly and has good user flow, which means each page has good connectivity across different parts of the website. Ensure your website has a proper sitemap with the latest changes and internal linking.

4. Focus on SEO, not on Search engine-first content.

Implement all the SEO strategies to ensure your content can rank on search engines. Here are a few things you must perform:

  1. Embed primary and secondary keywords properly.
  2. Maintaining a good content flow and structure is crucial.
  3. Create SEO-optimized URLs and meta tags.
  4. Create SEO-optimized reference links and link names. 
  5. Reduce duplicate content and scraped content.

5. Self-assessment with (Why, How, Who)

Once you are confident that you have done everything right, start assessing your content by asking who created it, what content is being developed, and how it has been created.

Here are a few other questions that you can keep in mind to self-assess your content:

  1. Does your content provide details about the authority who created it? What are the references? If not, then add them.
  2. Do the meta tags and headings provide descriptive details about your content?
  3. Does your content have enough caliber to be published by some international magazine or printing press?
  4. Is your content grammatically strong?
  5. Is your content original, providing real-time value to the user?
  6. Are there any factual misinterpretations, or are they wrong?
  7. Most importantly, will a user leave your page with the full satisfaction of getting all the required value he/she was looking for? 
  8. Are the headings and meta tags a clickbait created to attract more users from search engines?

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Google is using artificial intelligence across its various products and services to improve user experiences and provide better search functionalities. From Google Maps, YouTube, and Assistant to email filtering and advertising.

Additionally, Google Cloud offers a suite of services, including machine learning tools like Cloud AutoML and Cloud Natural Language, infrastructure services like Compute Engine, and networking solutions like Cloud CDN. It is a one-stop solution for businesses to connect with diverse audiences available across the Internet.

Google promotes human-centric content creation, focuses on  E–E-A-T principles, and prioritizes user experience. Content creators are advised to focus on people-first content, optimize for SEO, and conduct thorough self-assessments for quality and relevance. This holistic approach underscores Google’s commitment to delivering high-quality, user-centric content and services by integrating artificial intelligence and cloud computing technologies.

Now, how can I do this? How about you join Google so that you can also share your hands in this AI journey?

If you are in the same boat as me, join Be10x’s AI workshop, where you will learn about various tools like ChatGPT, Google Gemini AI, and other tools for creating content, video editing, and generative coding, all just at Rs 9.

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