Six Best Examples of Online Industries that Use AI Algorithms to Better Your Experience

Artificial Intelligence is all the rage, these days. Mark Cuban believes it will create the first trillionaire. Jack Ma believes it’s good for our lives.


Artificial Intelligence is all the rage, these days. Mark Cuban believes it will create the first trillionaire. Jack Ma believes it’s good for our lives while Elon Musk says it should be approached with care.

Online Industries that Use AI Algorithms

What do you lean in this debate? Regardless, AI is here with us. In fact, it’s been influencing our daily lives, from communication and shopping to gaming and online industries for a while.

If you need more proof, read on and discover how seven popular online industries use backend algorithms to improve your experience.

E-Commerce—Alibaba, Amazon and eBay

Jack Ma is a huge proponent of artificial intelligence as we mentioned above. So, it comes as no surprise that his brainchild, Alibaba, relies heavily on AI to improve shoppers’ experiences. For the uninitiated, Alibaba is the biggest shopping website in the world and sells more than eBay and Amazon combined.

Alibaba combines AI with natural language processing to determine what you might want to buy. It then produces a list of these items and their descriptions. Beyond shopping, Alibaba also uses backend algorithms to help drivers reduce traffic jam and farmers to improve their yields.

Amazon and eBay use similar technology to increase sales. Think of Alexa, one of the most well-known shopping assistants. Alexa is a byproduct of AI. And it’s so effective that over half of Amazon shoppers use the voice box for shopping.

Multimedia—YouTube and Netflix

If you use YouTube regularly, you get recommendations on videos to watch regularly. Netflix does the same. They observe your searches and then use AI to determine the content that could also interest you.

YouTube also uses backend algorithms to flag and remove unwanted content. Last year, the Google-owned website removed 76% of objectionable content automatically. Crucially, two-thirds of the videos were pulled off before they got any views.

Another AI feature on YouTube is “Up Next.” It’s a helpful piece of data that informs you what will be played next during your entire YouTube experience. Netflix has a similar section plus more features that help you organize your videos.

Online Gaming—Casinos and Streaming Sites

The online casino industry is growing incredibly fast. And it has the AI industry to thank, at least partially. Casinos use Artificial Intelligence to help players sort out games or find slots they most likely would want to play fast.

This New Zealand Casino site uses a search bar and filters to help you narrow down to specific games. You can select a slot machine based on its theme, software developer, bonus features or format.

Alternatively, you can search for games by their names. You could also discover new games by scrolling through the website. However, it’s easier to let backend algorithms help you find the specific game you want to play.

Video game streaming sites work in the same fashion. They use algorithms to automate nearly every aspect of their platforms. Take Twitch as an example. It lets AI do the heavy lifting so that you can find broadcasters and channels hassle-free.

Search Engines—Google and Baidu

When was the last time you searched something on Google and failed to get a result? Exactly. Google has some of the most powerful algorithms out there. And it uses them to ensure everyone who uses its search engine finds precisely what they want.

Let’s you want to find a song but don’t know its title. You can type anything you remember about the song and Google will help you find it. Of course, Google doesn’t just bring up one search result.

It produces thousands of results on any topic. That’s why some people think Google can be overwhelming as a resource platform. It brings out so much content that it’s difficult to sift out the good from the bad.

Google’s equivalent in China, Baidu, is no different. It uses machine learning and AI to help searchers find all kinds of websites.

Like Google, Baidu supports voice searches through its Deep Voice tool. Interestingly, you can utilize this feature to feed the search engine with your favourite author, actor artist’s voice and it will clone their voice.

Social Media—Facebook, Instagram and Twitter

Social media networks use nearly similar algorithms to understand their audience. Facebook uses DeepText, an algorithm that analyzes text to determine what a Facebook user is talking about.

It uses the same algorithm to determine who would be interested in a specific post. It does that regardless of the language used. On Instagram, the social media giant analyzes images plus their captions to bring people with varying interests together.

According to Forbes, Instagram’s image-identifying algorithm is so effective at identifying people that it’s better than humans. It’s the same tool used to remove revenge porn and other malicious content on the platform.

Moving on, Twitter uses a mix of algorithms to make sense out of short texts, analyze images and graphs. It then structures unstructured data to organize all content on its website. The result is a smooth system that helps people find the content they want or distribute tweets to the right audiences.

SAAS Companies—Microsoft and AWS

Software as a Service (SAAS) live and breathe AI. A prime example is Microsoft, whose products range from Skype and Office 365 to Bing and Cortana. Microsoft is so dependent on backend algorithms that it includes them in its mission statement.

On Skype, Microsoft uses algorithms to drive communications through chatbots. It also helps to synchronize contacts or to translate information. On the flip side, Cortana helps you find products easily through a search voice.

In the cloud computing scene, Amazon Web Services is one of the biggest names. It ranks up there with Google and Microsoft. AWS uses AI to improve security, increase engagement and recommendations.

Additionally, it also depends on machine learning to integrate apps and websites. That way, everything flows smoothly without human intervention. Of course, it doesn’t depend on AI alone. It has a wide range of algorithms in its arsenal that make everything possible.

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