AI is revolutionizing the way business works, but it is usually more challenging to explain AI solutions than to create them. The terminology used by people like “machine learning,” “predictive analytics,” “generative AI,” “automation,” “neural networks,” and “data processing” can easily confuse the listeners.
This is where an AI explainer video becomes particularly helpful.
Rather than making an audience learn about AI through technical documents or long product descriptions, animation helps translate complex AI ideas into understandable stories. By using storytelling, motion graphics, UI animation, schematics, and sound design, AI firms can effectively demonstrate what their product does, how it works, and why it is significant.
The thing about AI technology is that it tends to be invisible. There is no physical product to show customers what you’re selling.
For instance, an AI technology solution might:
Automate irrelevant tasks.Generate predictions.
Connect multiple systems through APIs.
Generate content with generative AI.
Generate recommendations from user behavior.
Explaining all these capabilities in terms of text alone may lead to over-complication of the product. And that’s where the need for animation comes into play, as it allows businesses to make the invisible visible.
The first major advantage of animations is their capability of displaying complex processes that cannot be filmed.
Let’s say an AI system processes customer information and makes predictions about business activities. The video will help viewers to see the process:
Data –> Processing by AI –> Pattern Identification –> Prediction –> Business Activity
Instead of reading several paragraphs, viewers can get information within just several seconds. It is a very common approach used in technology explainers.
The machine learning model, algorithms, APIs, cloud infrastructure, and data processing occur beyond the user interface.
Animation may help make these hidden components visible.
To give an example, an animation might demonstrate how data gets entered into the AI machine, how the process works, and ultimately, the result, which can be acted upon. As such, the non-technical readers will be able to grasp a clearer idea of what happens behind the scenes.
AI firms usually have several features to showcase. The trouble is that describing all these features does not always help to convey the value of the product. A good explainer video concentrates on the problem, the solution to it, and the results instead of listing features only.
For instance:
Problem: Customer service departments get dozens of repetitive questions.
Solution by AI: The smart assistant understands the query and replies to it automatically.
Effect: There is improvement in the efficiency of the customer service department since the customers receive instant replies.
For instance, the AI company may be dealing with developers, entrepreneurs, investors, marketers, and even the consumers.
The stakeholders vary in terms of technical skills.
An AI explanation video has a capacity to be visual and non-complicated yet include enough technical content to build credibility. The idea here is not to strip away technology but to strip away complexity.
This feature comes in handy especially for B2B and SaaS firms, where one party needs to understand business benefits and another one should understand the way the product works.
The type of AI product you have affects your choice of animation style.
2D Animation
This type of animation will do well when explaining processes, workflows, customer journeys, and abstract AI processes. It is great for making complex technology seem simple and understandable.
Motion Graphics
This will come in handy when designing AI dashboards, statistics, data visualization, diagrams, and features of your product.
Animation for Interface/Product
If the AI product in question involves software, then animating the software itself will show how the clients use the platform. It works best for AI SaaS products.
3D Animation
3D animation might be needed if the AI solution is associated with robotics, medical devices, automation, manufacturing, or tangible products.
Conceptual/UI Animation Hybrid
Some AI firms might require a combination of both types of animation.
Such as:
Concept of AI technology → animation of process flow → real interface → business result
It will help to clarify both the technology and the actual product.
AI does not have to be complicated. The problem isn’t in the technology itself; rather, it’s in how it is communicated. A good AI explainer video makes an algorithm, process, and complex features of a product become a story that people can visualize and comprehend. When done well, you’ll have the ability to explain even the most complex technology through an AI explainer video.
Since AI solutions can be based on intricate algorithms and processes, animation helps in making it comprehensible for both technical and non-technical users.
2. What would be an appropriate length for AI explainer videos?
In the case of most product explainers, an appropriate length would be in the region of 60–120 seconds.
3. Can animation be used for machine learning and AI generation?
Yes. Animation can depict data processing, AI training, AI workflows, creation of content, automation, and many other processes that cannot be conveyed using live-action footage.
4. Can an AI explainer video serve marketing and sales purposes?
Yes. The master video can be trimmed down to create variations suitable for different communication platforms such as the website, social networks, advertising, etc.
Your product deserves to be understood instantly.
Your audience deserves clarity.
Your growth deserves a video partner that knows SaaS at a technical, strategic, and design level
That’s exactly what we do.
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