Engineering

14 Companies Using Machine Learning

5 min read

Companies using machine learning understand that business growth requires continuous innovation. 

Via machine learning, organizations are improving their businesses, both on the consumer level and in terms of business activity too.

To find out more about what machine learning can do, keep reading! You’ll learn all about 14 major companies using machine learning to change business for the better. 

What Is Machine Learning?

Machine learning (ML) is a subset of artificial intelligence in which computers use data and algorithms to improve upon themselves. 

Artificial intelligence (AI) itself describes any computer system that demonstrates human-like intelligence. 

While most machines are set out to do a single task or a set of tasks, AI technology is more flexible. 

Through machine learning, digital systems are constantly adapting to their surrounding environment. 

Most businesses use artificial intelligence as a means of digital transformation

By using AI, you can automate a number of tasks without so much as lifting a finger, from tracking lead behavior to sending mass emails at optimal times. 

Consumers use AI technology too. And you have probably used AI more than you even realize. 

For example, smart applications like Google Assistant and Siri are digital assistants that rely on artificial intelligence and machine learning to respond to user data and complete complex tasks. 

smart speaker
Digital assistants like Google Nest use smart speakers to gather data for AI capabilities.

In short, machine learning is more than capable of helping businesses and individuals alike meet their objectives. 


Related reading: 8 Best Programming Languages for AI Development in 2022

15 Companies Using Machine Learning

Machine learning has been a popular concept in modern application development trends. Companies using machine learning have a variety of applications for this clever technology. 

Here are some examples of major companies using machine learning:

1. Yelp

Yelp hosts reviews from a large assortment of businesses all over the world. 

The website can give locals and tourists recommendations of restaurants, bars, salons, and even dentists in their residing area. 

With the use of machine learning, Yelp has fine-tuned image curation to provide users with more accurate photo captions and attributes. 

Surely, if you take to reviews to learn whether or not a new spot in town is worth the hype, pictures are an essential part of the decision-making process. And obviously, accuracy is appreciated. 

2. Pinterest

Pinterest is a social media service that’s a bit off-target from the norm. On Pinterest, users share ‘pins’ to help other users discover recipes, style inspiration, DIY projects, and other lifestyle ideas. 

In 2015, Pinterest announced the acquisition of Kosei, a company that provides business-to-business (B2B) machine learning capabilities for its clients. 

Now, machine learning is a fundamental part of almost everything that happens on Pinterest. 

Spam moderation, content discovery, and even ad monetization take place with machine learning at the center. 

3. Facebook

Facebook is a notorious social media network that you’re likely well-familiar with. But did you know Facebook Messenger has an AI embedded within its infrastructure? 

Or rather, businesses create chatbots that depend on the messenger’s internal software for its operations. 

For example, you can message Domino’s Pizza for an app to take you through the ordering process. 

Similarly, you can book a flight and hotel through Kayak with just a quick, easy chat. 

You can even schedule a makeover at your local Sephora’s, all through Facebook Messenger!

4. Twitter

Twitter is a social media service where users exchange information through concise, primarily text-based blurbs. 

That said, not every tweet is welcome. Depending on who you are, you might find some tweets more relevant and/or entertaining than others. 

Luckily, Twitter uses a machine learning algorithm to score tweets based on various metrics. 

Then, Twitter curates your feed, making an educated guess about what you would like to see most. 

5. Google 

Google is a proud user of neural networks. In humans, neural networks allow the brain to create relationships between large datasets. 

Naturally, artificial intelligence can imitate this ability. 

Right now, Google still uses classic algorithms for natural language processing (NLP), speech translation, and search ranking, among other things. 

But they are deeply invested in researching and refining neural networks to enhance further development. Google dubs this project the DeepMind. 

6. Baidu 

Baidu may not be a major company in the United States, but it is definitely one of the top companies using machine learning. 

In fact, Baidu is one of the largest AI and internet companies in the world. It’s based in China. 

Like Google, Baidu is also interested in neural networks. Through a project called Deep Voice, they plan to engineer human speech with genuinely human voices. 

7. HubSpot

HubSpot has always put its best foot forward when it comes to investing in emerging technology. 

As one of the more comprehensive marketing tools in the industry, machine learning is vital to how HubSpot works. 

Marketing automation tools leverage artificial intelligence to optimize business activity all-around. 

Predictive lead scoring or automatic record cleaning name only a few of the possibilities. 

8. IBM 

IBM, or International Business Machines, is one of the oldest technology companies that’s still alive and kicking. 

But unlike other old companies, IBM continues to expand its technological resources. New and innovative technologies are regular addendums to the metaphorical IBM grocery list. 

And thus, they continue to grow as a business. 

One of IBM’s newer technologies is Watson, a machine learning tool that several hospitals and medical centers use to get treatment recommendations for different types of cancers. 

But Watson can do more than that. The retail sector also uses Watson to assist shoppers. The hospitality industry uses Watson too. Truly, AI can do it all!

9. Salesforce 

Salesforce and HubSpot compete in the same industry. Like HubSpot, Salesforce gives businesses the tools to scale their marketing efforts. 

Much of this happens through the Salesforce CRM, or customer relationship management tool. 

Salesforce software uses ML and AI to analyze customer engagement and work with you towards amplifying the customer experience. 

10. Apple

Apple needs no introduction. But just in case, you should know that Apple is a multinational company that specializes in computer software and consumer electronics. 

This means that not only is Apple behind the iOS that runs on iPhones but the iPhone itself. You can credit Apple with the Mac and its various operating systems as well. 

Apple is also behind Siri. Siri is technically an AI machine in the form of a handy digital assistant. 

She can send text messages, check your email, and answer random questions, among other tasks. 

11. Intel

Although Intel does fall into the category of major companies using machine learning, Intel’s use of ML is unique. 

Intel is a chip manufacturer, which sounds vague. But you very well could be using an Intel chip right now to power your computer’s core processor. 

It could be the very reason you’re navigating 12 tabs at a time with glee. 

That said, Intel has more than one niche. Their Nervana chips, for one, are designed for data center servers and utilize ML for major data processing. 

Nervana chips are able to transfer 2.4 terabytes per second with very low latency, and apparently, machine learning is key to this prowess. 

12. Microsoft

Microsoft is the backbone of numerous technologies, your Xbox and favorite word processor being only two examples. 

As far as machine learning goes, that mostly has to do with their Maluuba acquisition. Maluuba is known for its impressive deep learning labs for NLP. 

In practice, Microsoft might use this acquisition to empower its voice computing and voice search technologies. 

So if you ever get annoyed with a few too many accidental Cortana pop-ups on your PC, expect your frustrations to be assuaged very soon. 

13. Amazon 

Amazon is one of the largest retailers in the world.

Most people love Amazon because of its 2-day shipping, which makes immediate gratification an unhealthy but realistic expectation for consumer desires. 

That aside, Amazon uses ML for many of its retail-oriented tasks, such as product recommendations, forecasting, data cleansing, and capacity planning

14. Netflix

Can you guess why Netflix is on the list of major companies using machine learning? Think suggestions.

Netflix is a highly-favored streaming service with more films and television shows than you can count readily available at its users’ fingertips. 

But if that’s not reason enough to be enthusiastic, you don’t even have to do the work of figuring out what to watch. 

That’s because Netflix's primary use of ML technology is to give user suggestions, catered specifically to their unique interests. 

Conclusion

Machine learning can be instrumental in boosting productivity in your business or even revamping your latest software product. 

Like most newer technologies, it may be a bit difficult to wrap your mind around the concept. 

In this case, seeking out professionals to guide you in implementing ML within your organization is not a bad idea. 

At Trio, we have expert developers at the ready for consultation and to fulfill any development need you have down the road. 

Hire Trio developers today!

Frequently Asked Questions

What is machine learning?

Machine learning (ML) is a subset of artificial intelligence in which computers use data and algorithms to improve upon themselves.

What is artificial intelligence?

Artificial intelligence (AI) describes any computer system that demonstrates a human-like intelligence.

What does machine learning do?

Machine learning is a fundamental part of deep learning models, natural language processing, and processes that enrich the interaction between machines and humans.

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