6 concrete examples of artificial intelligence usage

Since the end of 2022, artificial intelligence has entered our lives. Businesses, individuals, government, ... Everyone uses AI, almost daily. To the point that this technology is expected to have no less than half a billion users by 2027. Content generation, automation, marketing strategy, keyword research, cybersecurity, analytics, ... the examples of artificial intelligence usage are numerous. Discover how you could take advantage of this revolutionary technology.

1. Content generation, the best example of artificial intelligence

Although artificial intelligence has existed since the 1950s, it has gained full momentum with ChatGPT. Its extraordinary ability to generate quality content allowed it to acquire 100 million users ... just 2 months after its launch. At the time, it was a real record.

So how can such enthusiasm be explained? For its efficiency. In a few seconds, the generative AI tool can produce a wide variety of content, such as:

SEO-optimized blog articles;

Copywritten landing pages that make you want to buy;

Product or category descriptions for e-commerce sites;

Newsletters that engage subscribers;

Social media posts;

E-books or guides to provide even more value to customers;

Press releases to announce the launch of a new product; etc.

In short, the examples of artificial intelligence usage are almost endless. But be careful, because ChatGPT is still a machine. If you want to write 100% personalized, reliable, and unique content, you will always need to go over it to add a little human touch.

2. Document synthesis to save time

Whatever they may be, artificial intelligences are masters of Big Data. They are capable of processing enormous amounts of data in record time.

And this is precisely why they are very useful for creating document summaries. Regardless of the volume of data available, AI algorithms can identify key points and generate a concise summary while preserving the meaning and main ideas.

By doing so, professionals save valuable time when summarizing long reports. This can be particularly useful for journalists, researchers, legal or financial experts.

For example, an artificial intelligence solution like Notion AI can summarize a company's quarterly report. It will identify key information, such as revenue figures, market trends, and forecasts, before making a summary for a quick presentation to investors.

And since artificial intelligence is based solely on the text provided, the summary remains 100% neutral. Unlike a human, AI does not introduce personal biases.

3. Automation with AI and No Code

To achieve technological feats, AI models do not work alone. At least not always. When it comes to helping businesses save time through process automation, artificial intelligence combines perfectly with No-Code solutions like Make.

The use of No-Code + AI (here with the Make tool) allows for multiplying possibilities and automating many business processes.

These two technologies allow for the automatic execution of tasks that usually require human intervention. And this, without having to write a single line of code.

So how does it work? Concretely, it involves defining scenarios in the form of "if ... then ...". In other words, you identify an event that will automatically trigger several actions.

For example, by using AI and No Code tools, such as Zapier or Make, you can automate an email sequence. When a user fills out an online form, the information provided is analyzed by the AI to extract specific needs. Then, a personalized email is automatically generated and sent to the client via a No-Code flow.

4. Translation into different languages

Even before the emergence of ChatGPT, translation tools used artificial intelligence to translate texts into different languages. The most well-known examples being Google Translate, Microsoft Translator, or DeepL.

And yes, for a long time, machine learning techniques, such as deep learning and neural networks, have enabled remarkable achievements.

In terms of translation, AI starts by analyzing the source text to understand its grammatical structure, meaning, and subtleties. Then, the algorithm breaks down the text into smaller units (such as words or sentences) to translate it. And this, while taking into account the grammar, context, and meaning of the target language.

5. Image and video generation for creatives

Thanks to machine learning and deep learning, artificial intelligence tools can also generate visual content from simple text.

Some are specialized in video production, others in images, and some do both.

For image creation, you just need to precisely describe the desired result (image style, character, atmosphere, emotion conveyed, detail in the decor, ...).

For video creation, you can also start from a personalized prompt, transform a blog article into a video, add avatars to your content, ...

Here are some examples of artificial intelligence that generate images or videos:

For images: Dall-e, Midjourney, Stable Diffusion, ...

For videos: Heygen, Sora, Synthesia, ...

6. Marketing strategies supported by artificial intelligence

Artificial intelligence tools can also help you refine your marketing strategies. And this, in a multitude of ways:

Preparing an editorial calendar for your content on social media, your newsletter, or your website;

Keyword research and analysis based on search volume and competition;

Optimizing existing content to better position it on a defined key query;

Automatically identifying technical SEO issues (such as loading time, 404 errors, indexing problems, ...);

Analyzing marketing campaigns with tools like Google Analytics or Salesforce Marketing Cloud.

The examples of AI usage are almost endless. In all fields, artificial intelligence supports teams to help them gain productivity and efficiency.