Many People see Artificial Intelligence as the Death of Content Creation. But Does it Hold True?

Many People see Artificial Intelligence as the Death of Content Creation. But Does it Hold True?

We have seen how incredibly helpful artificial intelligence is to workers, students, and professionals. They help sort out millions of article, figures, and studies into neatly-arranged packages and generate the top content to help people save time on research and documentation.

At the moment, it may seem that the AI marketing landscape is full of clutter leaving many people thinking that there’s nothing more that artificial intelligence can do. However, the cogs that would elevate the utility of artificial intelligence are continuing to turn and take shape. The next frontier of AI marketing?

Content creation.

Why content creation is the next big step for artificial intelligence

Right now, there are various companies and organizations that are starting to invest in the idea of content created by artificial intelligence. Natural Language Processing (NLP) has already been applied to handle simple fact-based questions with the likes of chatbots and customer service handling.

Various NLP platforms even have the ability to summarize and organize web resources, including performing researches with context. This is going to be a big help to companies worldwide, as artificial intelligence content creation will make business processes more efficient and streamline marketing strategies.

How AI-driven content creation will work

Google is one of the first companies to utilize NLP summarization to draw the line of content creation higher. At the moment, Google’s AI summarizes fact-based questions to answer queries that don’t require much context or linkages. However, the gradual improvement of artificial intelligence’s created content will rely on the development of the following:

  • Advanced summarization and extraction from top results

Over time, artificial intelligence needs to be smarter about summarizing data to provide high-quality answers to peoples’ queries. It needs to organize the top results, condense and summarize the gathered content, and find linkages between these data. Additionally, this technology also needs to find the best and most meaningful sentences within the summarized content and integrate those within the newly-generated content.

  • Improve abstractive summarization

Abstractive summarization is based on machine learning and involves the “creativity” of AI when it comes to word choice. It isn’t enough to just completely copy to the content of already-existing articles. AI also needs to come up with its own words to give context to every sentence and make a meaningful article.

  • Develop a cohesive sentence and paragraph structure

Apart from improving word choices, it also needs to learn how to best arrange a text’s sentences and paragraphs. A quality article does not rely on words alone, but also on how well they are organized and presented.

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AI Content Generators

Engaging consumers and building a broader base through advertising require engaging content to support. However, producing engaging content isn’t an easy process. To best optimize the content creation process, more companies are starting to consider the use of artificial intelligence and related emerging technologies.

What is an AI content generator?

An AI content generator learns audience data and produces engaging content through a set of technological processes. The application of AI content generation ranges from artificial intelligence systems writing entire articles, to software that assists human writers in analyzing and organizing data.

AI content generators can take existing content, such as blog posts and feature articles, and combine, edit and shuffle them around to create new content.

The content generated is intelligent and readable. They can be dynamic, with input from old articles, forums, and social media. Machine learning and related technologies are built to use natural language processing (NLP) and natural language understanding (NLU).

Automation has made its way to the very human art of writing and journalism, to excellent results. For example, Yahoo creates fantasy reports custom-made for its users using their software, and Fox uploads sports recaps which were auto-generated. The Associated Press is known to use software to create new stories on corporate earnings reports. Automated Insights provides easily understood analytics using natural language generation software.

All the latest systems can create semantically-based intelligent summaries.

As technology evolves, so should advertising and marketing. AI content generators have the power to make content advertising easier, faster and smarter.

Creating engaging and complex content narratives with AI

Marketing agencies and creative content writers are both interested and apprehensive about the thought of algorithms writing content. On the one hand, artificial intelligence can make the content creation process easier and faster. On the other, people always have that fear of being replaced by machines.

In such a creative and dynamic field as advertising, artificial intelligence has the power to transform the space in combination with human oversight and creativity. Marketers and creatives can continue to write complex content to engage old and new customers. However, with the help of AI, the content can be more optimized for better returns.

Artificial intelligence can supplement the content generation process in the following ways:

  • AI software can compile relevant information and create an optimized automated bot report. Writers can come in to add insight, context and more personality to the content. Using artificial intelligence to narrow down the focus and details of an article gives marketers more time and energy to be creative.
  • AI can process thousands of data points to transform unstructured data into intelligent reports. Algorithms produce stories from data. The processing of more data gives advertising agencies better insight into consumer behavior and customer purchase interests.
  • AI can take over the content of brands that human creatives do not want to do, such as regular earnings reports and weekly sports recaps.

Content generated by artificial intelligence systems can be as formal and dry as official business reports, or they can be fun and full of slang and jokes.

How the future of content creation will look like in conjunction with artificial intelligence

When it comes to creativity and crafting ideas for content, artificial intelligence has a long way to go. Although articles created by machines already exist, they lack one particular aspect that makes reading enjoyable and entertaining: humanity.

While the day that artificial intelligence will surpass humans when it comes to the speed of content creation may happen soon, the day it would topple human creativity and idea-generation may never come. However, that isn’t a reason why people should stop clamoring for improved artificial intelligence and content creation.

AI can still help companies create meaningful content that will drive conversion and inspire patronage. Artificial intelligence is humanity’s partner in technological advancements, and content creation is just one of the many ways AI can help us be more efficient and effective.

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