Artificial intelligence has been around since the 1950s when it was first introduced by Alan Turing, an English mathematician who also created the computer that would become famous as the world’s most powerful supercomputer. In recent years, artificial intelligence (more commonly referred to as «machine learning») has taken off like wildfire with applications ranging from speech recognition and text generation to image processing.

In this article we will discuss how artificial intelligence can be used for content creation. We’ll show you how to get started creating your own custom machine learning app. Finally, let’s take a look at what AI is doing right now—and why it might not always be so good!

What is Artificial Intelligence and How Do I Use It?

Machine learning refers to the use of algorithms to teach computers new skills. Machine learning uses data to recognize patterns and make predictions based on past experiences or observations. The process involves three steps: training, testing, and deploying. Training refers to getting machines to learn things such as facial expressions or voice tones. Testing is about verifying whether the system can accurately predict future outcomes based on its knowledge. Deploying means making sure that everything works properly once deployed.

The concept of using machine learning to create content is relatively new but there have already been several examples of companies using it successfully. One example is Apple which uses machine learning to generate iTunes playlists. Another is Google Photos where you can train your camera to automatically capture moments worthy of being stored.

The other side of the coin is that some people think using machine learning to improve content could actually ruin our favorite media. What if Siri told us to watch TV shows that were just junk food? Could we trust a program that was designed to help us find information rather than give us accurate information? And don’t even mention the possibility of a robot taking over the human workforce!

The truth is somewhere in between. While we cannot currently expect a fully automated AI solution to replace all of humanity anytime soon, we do need to consider the possible impact of AI and machine learning technology on how we communicate. For instance, one area where machine learning could really shine is content marketing, or more specifically, generating engaging articles. If you know nothing else about me, you should know that I am obsessed with content marketing. I want my readers to connect with my writing because they feel something during their reading experience. They shouldn’t just be passively consuming information, they should be engaged by my words.

If you’re looking for ways to engage your audience through content marketing, artificial intelligence is definitely worth considering. In fact, there are many different tools available today that allow you to build your very own artificial intelligence engine to generate compelling content. Here are three of them:


This amazing tool allows you to turn any piece of plain text into high quality copy written in under 40 minutes. All you need to start is a sentence or two. Then iWriterbot does the rest. Its algorithm analyzes the text and then generates beautiful sentences, captivating paragraphs, and engaging headlines. You can see exactly how well iWriterbot performs by checking out its demo video.

Think of iWriterbot as a virtual editor. Simply paste in a few lines of text, choose your preferred style, click Publish, and wait until the whole thing gets converted. This feature makes iWriterbot ideal for business blogs, website pages, social media posts, newsletters, press releases, and more.


Sorting files can be tedious and time-consuming. Tinysort solves this issue by helping you sort large volumes of data quickly and easily. Using natural language processing, Tinysort is able to analyze documents in batches and determine the appropriate sorting order. When finished, Tinysort produces a report detailing its findings. Not only does this save you hours of manual labor, it also helps you stay organized, allowing you to focus on higher level tasks.

Although Tinysort doesn’t offer much customization, it comes with plenty of features. Among these include an intuitive interface, multiple languages, and customizable reports. With Tinysort you no longer have to worry about wasting valuable time with file management. Plus, you can keep your mind free from mundane tasks while still maintaining control over important projects.


Let’s face it—the internet is full of great content. Unfortunately, finding relevant pieces of content can sometimes be difficult. Buzzsumo is another tool that gives you access to thousands upon thousands of webpages and blog posts. However, here’s the catch: unlike Tinysort, you won’t be given the option to “sort” anything. Instead, you must manually enter keywords related to the topic you’re interested in. Once you do this, BuzzSumo takes care of the rest. After analyzing each webpage, Buzzsumo determines which ones contain the highest number of similar terms. These results appear in a nice, easy to read format that highlights the best performing sites.

Once you’ve chosen the perfect site, you can simply add it directly to your favorite bookmarklet and never have to worry again. By utilizing Buzzsumo you can get useful insights into your industry without ever having to spend too much time researching topics yourself.

Now that you’ve seen three ways to utilize artificial intelligence for content creation, it’s time to put those ideas into action. Let’s explore how to use artificial intelligence for content generation.

How to Use AI for Content Creation

There are lots of different reasons why someone might want to automate his or her content creation workflow. Maybe he or she wants to maximize productivity, increase efficiency, save time, eliminate boring chores, or maybe they just enjoy working with code. Whatever the reason may be, artificial intelligence can certainly come in handy for anyone serious about developing professional online content. Here are five specific areas where you can leverage machine learning to boost your efforts:

Identify the Problem You Are Trying To Solve Using AI

You probably wouldn’t hire a programmer who didn’t understand the purpose of his or her work. Similarly, before you begin building any kind of machine learning application, it’s crucial to identify the problem you are trying to solve. You should also decide what type of output you ultimately desire. For instance, if you’re going to be writing blog posts, you might benefit from using the Tinysort tool mentioned above. On the other hand, if you’re planning to develop a sophisticated search engine, you might want to try something more advanced like Google Lens.

Choose the Right Platform

Not every software development platform is suitable for all types of machine learning apps. Some platforms are better suited to certain tasks while others are more effective at solving particular problems. Ultimately, though, you will likely need to combine various technologies together. Fortunately, it’s easier than it sounds. There are numerous open source alternatives available that provide support for almost any task imaginable. Just head over to Github and browse through the project repository. You will undoubtedly find resources that fit perfectly with the needs of your project.

Start Coding!

Don’t panic, coding isn’t hard. At least, it hasn’t been traditionally. The key to success lies in understanding the fundamentals behind programming. As long as you have basic familiarity with Python, Java, HTML5, CSS, JavaScript, SQL, PHP, and VBScript, you should be fine. Remember, the goal is to write code that automates tasks that normally require human effort. So instead of focusing solely on programming, it’s critical to keep an eye on your end product. Be sure to test regularly to ensure that everything runs smoothly. Also, remember to keep track of the performance metrics associated with your AI app so that you can monitor changes made over time.

AI in the News

As you saw earlier, artificial intelligence is becoming increasingly popular among businesses. A 2017 study published by McKinsey & Company found that 90% of organizations plan to incorporate AI into their operations within the next 5 years. Furthermore, 80% of executives believe that the adoption of AI in 2018 will result in substantial financial benefits.

Among the top ten emerging trends identified by Gartner, nine involve the use of AI. Specifically, Gartner predicts that AI will lead to innovations in every stage of the customer journey including research and development, new products, sales enablement, service delivery, supply chain optimization, customer engagement, and customer relationship management. Here are some of the predicted impacts:

Empower employees to perform complex tasks more effectively with minimal supervision.

Improve customer satisfaction levels.

Optimize production processes.

Reduce costs across the board.

Generate more revenue streams.

Increase the overall profitability of the organization.

With AI, the possibilities seem endless. Companies around the globe are embracing this revolutionary technology. Whether you are a small business owner hoping to streamline internal processes or a budding entrepreneur seeking to compete against bigger competitors, artificial intelligence holds the potential to revolutionize nearly every aspect of modern life.