{"id":70556,"date":"2023-12-12T12:32:06","date_gmt":"2023-12-12T11:32:06","guid":{"rendered":"https:\/\/aton.com\/ia-di-aton-7-casi-di-uso\/"},"modified":"2025-08-14T15:21:28","modified_gmt":"2025-08-14T13:21:28","slug":"ai-aton-7-use-cases","status":"publish","type":"post","link":"https:\/\/aton.com\/en\/ai-aton-7-use-cases\/","title":{"rendered":"Journey through AI with Aton: 7 Game-Changing AI Use Cases"},"content":{"rendered":"

In the last few months (yes, we’re talking about months), we have witnessed a proliferation of articles, headlines, and courses related to a topic that is not new but has seen a surge in presence on the web due to some factors: AI. Now, if we mention ChatGPT<\/a>, many people know what it is, but the road to sharing the culture of artificial intelligence<\/strong> is still long.<\/p>\n

Let’s debunk a myth: artificial intelligence (AI<\/strong>) does not replace humans but helps them perform repetitive tasks<\/strong> and analyze enormous amounts of data<\/strong>, finding similarities.<\/p>\n

Let’s examine a use case: a doctor today can interpret the result of an analysis and give an opinion based on their knowledge and the cases they have encountered and analyzed over the years of work. Artificial intelligence can be trained with many more cases, compare many more contexts and variables, and provide the doctor with a more precise framework on which to base their assessments. As we can see, we are not replacing the doctor but supporting them with a quantity of information they would not be able to consult otherwise.<\/p>\n

A bit of AI history<\/strong><\/h2>\n

\"IA:<\/p>\n

Artificial intelligence was born many years ago, and the concept of training a machine to help it learn is not new, especially considering that in 1950, Alan Turing<\/a> published the article “Computing Machinery and Intelligence”<\/a>, marking the beginning of AI.<\/p>\n

What has literally ‘exploded’ in recent years, or rather, months, is generative artificial intelligence<\/strong>, a technology capable of generating content or images.<\/p>\n

Why wasn’t it such a widely used technology until a year ago?<\/p>\n

Several factors have contributed to the spread of this technology in everyday life. The health emergency related to Covid has certainly contributed to its evolution, but it is with the entry of important names, one of which is Microsoft, that we have noticed the real transformation: these giants, in fact, have made available the infrastructure to process billions of data and generate models<\/strong> (LLM Large Language Models<\/a>) that until recently were unimaginable. It is thanks to these models that today we can analyze information to extract important words that make sense within our application workflows.<\/p>\n

AI and Aton\u2019s Applications<\/strong><\/h2>\n

As Aton, we immediately asked ourselves how we could apply and integrate the artificial intelligence in different contexts and sectors<\/strong>, even involving some clients. For us, training and Research & Development are fundamental aspects to evolve and improve our solutions and services, and it is precisely from here that the best ideas and applications we use every day originate.<\/p>\n

Here are some topics<\/strong> that we are addressing in our R&D teams<\/strong> where AI can play a significant role<\/strong>:<\/p>\n