Machine learning falls under an array of artificial intelligence (AI) technologies that learn how to do certain tasks with the intention of automating them. These systems use historical data to predict future patterns and execute their tasks according to accurate data gathered. The more data machine learning gets, the more accurate it becomes and improves in doing its tasks. This is how machine learning works and how it relates to the wider concept of AI.
Many industries have started implementing this technology and they include warehousing and logistics, medical sector, manufacturing, and many others. Lately, the development of machine learning systems has changed the content industry dramatically.
The way content is created and how it should be structured has been directly impacted by this technology. How has this been done? Here are a few good examples of how AI and machine learning are changing the content industry:
Improving productivity
The time of content marketers and writers can be spent inefficiently doing mundane, repetitive tasks. The time wasted could be better used in writing high-quality content that will boost the audience’s engagement, leveraging the revenue.
By automating some of these tasks, the burden on the shoulder of content writers will be lightened, giving them more time to focus on the more important tasks. Some of these tasks include analyzing keyword data and finding the most suitable to use relevantly in the content being written.
The task can be automated and be accomplished in less the time that humans take to do it. If you provide the most relevant information to a machine learning program, it will provide you with the best keywords that will draw more traffic.
All the mundane parts of that task will be fully automated and done by the AI-powered program. Other tasks, such as optimizing the content you write for SEO, will help you focus solely on producing high-quality content.
The content you write will also improve because there will be more time to do comprehensive research and the time to focus on the details will be sufficient. The improved productivity might exponentially improve the revenue made because with more content production, the number of engaged readers will increase. That audience has a high potential to be your loyal customers as time goes on.
Personalizing content
Content marketing is very reliant on reaching the hearts of the targeted audience, and catering for all types of people can be a nearly impossible task. People of different demographics often have different personal preferences. If you are targeting to reach more than one group of people, you need to personalize the content according to their preferences.
Even in one group of people with the same demographics, they may also prefer different products or communication methods. That is a very huge task to accomplish and without help, it might not be possible.
Manually filtering the data you have on existing clients and trying to apply it to hundreds or even thousands of customers will take a lot of time. To address that issue, AI-powered programs have been developed to personalize content sent to potential customers.
With machine learning, you can gather personalized, specific data about the audience you are marketing to. The data gathered by these computer programs is mostly the targeted audience’s online activity, which includes social media likes, internet searches, products they are interested in, etc.
That data can then be implemented in email marketing, digital advertising, and social media campaigns. The product will be tailor-made to solve the problems they face and the items that they love. Different tools can be used for this intention, and some of them are Granify, CaliberMind, Opentopic, Personyze, and OneSpot.
Sourcing relevant content
There is also another time-wasting task that is essential in content writing which is sourcing the relevant content. The task requires a lot of intensive research which takes time and for most is boring, this process really wastes valuable time. The good news is that machine learning can address this matter by handling all the sourcing of material used to write an in-depth article.
Through term frequency – inverse document frequency (TFIDF), AI can understand what each article is about and provide the most relevant articles. However, sometimes writers may spend too much time trying to find the perfect title to base an article on before they even need to source the relevant content.
That can also be very stressful because most writers won’t even know where to begin. Through AI-powered systems, content writers can find the best topics that people are searching for and even predict future trends in this regard.
That will put the content you write at a better chance to trend and attract the targeted audience when the time comes. That will help you stay on top of the competition by having up-to-date content that is also futuristic in a sense. The topics generated by these AI machines will help you add value to the lives of your customers, which beats any other written content on the net.
Measuring metrics
Another important aspect of content marketing is measuring the results of the campaign you were running. The insight you can get from the data sourced from measuring the results of that campaign can help you improve it for future implementation.
Perhaps you are focusing on content that isn’t driving more traffic or a certain platform doesn’t generate many conversions. By knowing this information, you will know where to allocate more resources and where to cut back or completely eliminate.
The data will also enable you to avoid spending money on content marketing methods that are costing more than they generate. Because of that, some AI technologies were developed that make it easy to track the success of failures of a content marketing strategy. Using Google Analytics can help you determine which platform generated more conversions by assessing the method that customers used to access the website.
If most users used Facebook to get to the website you are writing for, it might be beneficial to also focus on generating more content suitable for that platform.
Also, there are tools that can help you rate the quality of the article you have written using AI-powered software. Knowing how you did and your failing points will help you plan a better content marketing campaign.
Reducing costs and increasing revenue
The industry of content writing has come a long way from the pen and paper system to a fully digital workplace. Over the years, most developments have shaped this industry to be more cost-effective on various fronts.
For starters, the stationery and logistics involved in writing with pen and paper wasted a lot of money which could have been reallocated in the budget. Undoubtedly, AI and machine learning’s involvement in the content industry yields positive results in terms of cost-savings.
Through automating certain tasks as outlined above, you can reallocate the budget to other business proceedings. Not to mention that with improved productivity, the revenue you are generating is also likely to increase. That reduction of costs and leveraged revenue will result in more profits being generated. You can either reinvest them into improving the AI systems you have or take them.
Also, with AI, you may do less outsourcing because you will have more free time. Tasks like marketing and business admin can be done by you and instead of paying other people hundreds of dollars, and they can be directed to your revenue stream. Also, accurate predictions of market trends and topics to write about will increase the revenue you make and improve the overall content you generate.
Proofreading the content generated
Content writing can be fun, but sometimes you may be rushing against time to post timely or submit to clients within the deadline. Because of that, sometimes content writers may be inclined to post their work without even proofreading it.
That can have serious blowback because when the readers identify typographical or grammatical errors, your credibility will be in jeopardy. Content with these errors might appear unprofessional and internet users don’t take lightly to sites that have the slightest stain of unprofessionalism.
The problem is that sometimes even after reading the article multiple times, there are some minor errors that might remain. To conquer this problem, there are AI-powered programs that read the content and then identify mistakes.
You can use these software programs to ensure that your content is 100% professional and presentable to the target audience. Some of these tools are free to use but very useful when you would like to make the content you are writing appear professional.
These tools include the very popular Grammarly and Hemingway that give suggestions on what you can change to make the article being tested more grammatically correct.
You can also use a plagiarism checker to ensures that the content you are posting is original and unique to avoid being penalized by the Google Algorithm. The latter uses AI to search through all the web pages currently active on the internet and checks if there are any plagiarism markers. If there are, rework the content before posting.
Video content generated by AI
One of the most peculiar ways that AI is changing the content industry is its role in the production of videos. It is unexpected for AI to be involved in the video content industry because mostly — it is designed to connect with people’s emotions and machines don’t.
The sound and visual effects need to be optimized to make it realistic but yet exhilarating, which will glue the viewers to the screens. Did AI succeed in trying to dominate this industry?
IBM Watson took a crack into creating a movie trailer of a horror film packed with suspense and did an exceedingly great job! Trailers have the huge responsibility of driving viewers to watch the entire movie and because of that, excerpts should be carefully chosen and edited. That’s exactly what IBM Watson’s AI program did; it analyzed the movie and then cut out different scenes.
It extracted the most action-filled scenes as well as with contrasting quiet character moments and autonomously created the trailer. You can view the trailer of the movie Morgan yourself on YouTube to see the job done by AI in creating it. Also, IBM Watson also generated the highlights of the U.S. Open using machine learning technologies.
AI personalized news
Many people would like to be conscious of what is happening around the world, and one way of doing so is reading the news. The task of accessing the news has been made very easy because they are now available on digital devices just by tapping your screen.
The benefits of this are that you can easily read the news without going to the shops, and you don’t have to carry excessive printed newsletters while on commute. Another benefit that wasn’t realized by many that are now prevailing is the personalization of news.
People don’t have the same preferences when it comes to news because of various factors. Their job may have an impact; the recreation they choose will also affect their decision as well as their upbringing.
For example, an economist won’t focus much on sports news, and someone who was never exposed to economic matters will prefer regular news.
Because of those conflicting preferences, some may prefer not following the news because some newsletters prioritize subject matter that doesn’t tickle their fantasy.
AI has been piloted in offering news according to a certain person’s preferences, which will make them more interested in reading them. Using data collected from their internet activity, AI programs will list the articles that are most likely fit their criteria of news.
Novel written by AI
Although AI affects the content industry in so many ways, no one ever thought that it would have the capability to write autonomously. Another book titled “The Tech Whisperer” tested the writing capabilities of AI and wrote one chapter of the novel. The chapter is quite ironic because it is about the pros and cons of the use of artificial intelligence in the real world and its impact on humans.
The author of this book noted that it is difficult to determine that it was written by an AI program because of its realistic content. He further mentioned that the chapter is well-structured and features facts and logic just as a person would author it. However, as exciting as this concept is, it is still rough around the edges and critics also reviewed it as so.
Even the author agreed that although the structure is sound, the chapter still needs a human conversational voice that is descriptive.
That is a sigh of relief amongst content writers because this proves that AI is far from fully replacing them. Although, the power of AI and its capabilities can be used to automate different processes of a paper writing service. Some companies have used AI programs to compile reports and this is their forte because they are more factual in their writing.
Automating some of the processes involved in the content industry
AI can also be used to automate other processes apart from the ones listed herein and simplify the lives of content marketers. Those tasks include social media management which entails content curation and distribution. The time that you choose to post the content and the distribution channels being used can be preset by yourself.
You can also automate the process of monitoring the content you post on social media and find out how people are reacting to the posts you make.
By getting the reactions and engagement levels, you will be able to redevelop the strategy you are using. On the other hand, you can totally rely on AI to create the best social media content marketing strategy by giving you suggestions for engaging content.
For example, quizzes, hashtags and so forth can be used to better engage the targeted audience. These tasks, just like others, can be tedious and spending too much time posting content on social media wastes time. These tasks can alternatively be easily automated for more efficient operations. The more time you spend writing, the chances of making more revenue and profit heighten.
The bottom line
AI has many useful applications regarding the content industry. It can help generate valuable trendy content that will attract viewers. It can even generate engaging video content like movie trailers and game excerpts that connect with human being’s emotions.
AI is also used to personalize the news directed to different audiences and engage them in the subject matter they prefer. AI programs can be used to proofread articles and remove any grammatical errors to make it appear more professional. The most interesting fact is that AI can write a whole chapter autonomously. Although the chapter still needed improving, this was considered as a win for AI developers.
