The rise of AI and machine learning has unfolded at stunning speed. While these technologies have been gaining traction steadily over the last decade, their explosion into popular culture has been driven by large language models like ChatGPT.

Many non-technical people are starting to explore the possibilities of this technology. If you’ve been working in the Tech and SaaS industry, this is not news to you.

However, to people unfamiliar with this technology, it opens up a new avenue for knowledge, growth, and connection – both at home and work.

As a content marketer, you’re probably used to navigating technical subjects. But with AI and machine learning, you have to engage both technical and non-technical audiences, which can add some complexity to your strategy.

In this article, we’ll dive into how you can perform the balancing act of doing both successfully. Let’s get to it.

Technical and Non-technical Audiences

Understanding Technical and Non-technical Audiences in AI and Machine Learning

The only way to effectively craft AI-driven content for both technical and non-technical audiences is to fully understand each group’s distinct characteristics and needs. Then you can craft a proper AI and Machine Learning content marketing strategy to engage both groups.

Technical audience

Technical audiences are typically professionals with a deep, practical understanding of the subject matter. They’re likely familiar with the details of concepts like algorithms, models, and programming languages. When they search for content, they’re looking for in-depth analysis and detailed explanations of the latest technology news to further their expertise.

Non-technical audience

On the other hand, non-technical audiences are usually individuals who are new to AI and machine learning. They may have heard about it on the news or social media and are looking to deepen their understanding of basic concepts and potential practical applications without getting overwhelmed by jargon.

Recognizing the differences between these two audiences is key to striking the right balance between technical accuracy and accessibility. Through that, you can create content that is both educational and engaging.

Crafting Content for Technical Audiences in AI and Machine Learning

Striking the right balance by offering technical knowledge in an accessible way is easier said than done.

Here are a few of our best tips for crafting content that appeals to technical audiences in AI and machine learning.

Know your technical audience

Know your technical audience

Writing great content is impossible if you don’t know your audience. Before you start writing your next AI and machine learning piece, take some time to get to know your technical audience. You can ask questions like:

  • What field are they in?
  • How do they typically consume content?
  • What are they looking to get out of their content?

Understanding your audience’s background and interests is crucial because it helps you align your content with the latest industry-specific challenges, trends, and interests. For example, if your audience consists of data scientists, they may be more interested in advanced algorithms and model architectures, while software engineers might focus on implementation and deployment considerations.

And if you don’t have technical writers with the right expertise in-house, don’t be afraid to outsource your B2B SaaS content.

Create engaging, in-depth content

No one, even the most technically savvy among us, likes to read dry, boring, and dull content. Writing a technical piece is no excuse to sacrifice originality. Instead, focus on the most interesting elements of the technology that you know will appeal to a technical audience, and use your creativity to explain the implications for their field.

Using visualizations and infographics

What would you rather read – a dry article with no photos or diagrams to break up the content or an in-depth piece that uses images and other visual aids to enhance the text?

The answer is clear regardless of whether you classify yourself as a technical or non-technical person. Using visual aids like diagrams, charts, infographics, or images enhances comprehension and adds undeniable visual appeal.

Creating Non-Technical Content for AI and Machine Learning Audiences

When creating content for non-technical audiences, you need to ensure they can easily understand everything you write. This involves creativity, originality, and a thorough understanding of the subject matter.

Here’s how to start:

Simplify complex concepts

When you’re writing about AI and machine learning, simplifying complex concepts is an essential skill.

Explaining complex ideas in an accessible way requires the writer to break down complicated technobabble and instead use everyday language and intuitive analogies to get their point across. Instead of using technical details, focus on explaining and relating the overarching idea to the audience’s daily life.

Use storytelling and real-world examples

Use storytelling and real-world examples

Using storytelling and real-world examples is another effective way to convey your message when writing for a non-technical audience. Showcasing practical applications of the technology is a great way for people to learn and feel more comfortable interacting with the technology.

Create interactive, visually interesting content

Both technical and non-technical audiences alike can appreciate interactive and visually stimulating content. Adding infographics, images, and other visual aids is a great way to increase engagement with your content. The visual aids provide a roadmap that facilitates comprehension and enables readers to understand these intricate concepts more effectively.

And if you’re struggling with ideas, we’ve got you covered with our top five ideas to drive your Tech and SaaS strategy.

Balancing Act: Catering to Both Audiences

While it may seem like creating content for technical and non-technical audiences in AI and machine learning requires two very different approaches, there are many more similarities than you would think.

For both audiences, it’s important to:

  • Know your audience so you can deliver content to match
  • Simplify complex concepts, so they’re easy for anyone to understand
  • Use visual aids to increase understanding and engagement

By following these basic principles, you can easily create content that engages your audience, regardless of their current level of knowledge.

Content that Speaks to Any Audience

Create Content that Speaks to Any Audience

If the prospect of creating content on AI and machine learning for different audiences still sounds intimidating, let us help!

At ClearVoice, we make it easy to elevate your Tech and SaaS content marketing efforts with vetted, knowledgeable software and tech writers. Our creators have the expertise and skill set to produce the content you need, when you need it. Connect with us to learn how we can take your content marketing efforts to the next level.