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Nowadays it is normal for us to confuse AI projects and Machine Learning projects. It happens all the time. They sound like the same thing to many people, and are even used as synonyms in casual conversations.
However, if you are evaluating bringing one of these technologies to your company, it is worth understanding well what the difference is between a machine learning project and an artificial intelligence project, and above all, which one your business needs.
Let’s be clear: an Artificial Intelligence (AI) project seeks to get a machine to perform tasks that a human would normally do. We are referring to understanding language, seeing images, analyzing feelings or making decisions with context.
For example, think of a chatbot that not only responds with pre-programmed phrases, but understands what you’re asking —even if you don’t use the exact words— and gives you a useful answer. Or imagine a camera that detects whether a person is happy, confused, or upset. All of this enters the world of artificial intelligence.
Technically, an AI project can use:
And in practice, you see it in things like:
Now, when we talk about Machine Learning projects, we are referring to a type of project within AI that learns from data. Here the machine is not told what to do step by step, but is trained to identify patterns and make decisions based on them.
A machine learning model can, for example, predict which customers are most likely to abandon your service, or help you detect fraud in real time. It does all this by learning from your historical data.
Today, many companies use machine learning projects to:
A good way to decide is to start with the business question you want to solve:
Remember: not everything needs generative AI or deep neural networks. Sometimes, a well-implemented regression model can solve more with less complexity (and budget).
And if you’re still not sure, that’s okay. That’s exactly where we come in.
Both AI and machine learning projects have enormous potential to transform your business, but their real value is not in the technology itself, but in how they connect to your goals, your data, and your operational reality.
At Itera Process, we don’t start by choosing technology, but by understanding the problem and designing a strategic route: from our Data and AI Journey proposal to specific solutions such as AI-Driven Data Transformation or Advanced Analytics & Insights.
Because when technology aligns with your business, results are not long in coming. And on that path, we accompany you step by step, with our feet in the cloud.
Talk.
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