Machine Learning, Deep Learning, and Artificial Intelligence: a simple explanation

Today we hear about Artificial Intelligence everywhere. At work, when we look for software that can learn autonomously. At home, when we interact with virtual assistants or in-car navigation.

Yet, when an expert presents us with a new solution equipped with AI, using terms such as Machine Learning, Deep Learning, and neural networks, we start to have doubts about the real understanding of the topic.

However, knowing the dynamics and operation behind Artificial Intelligence software is essential for two reasons. First of all, to understand if this solution can be incorporated into our business projects and, moreover, to evaluate if the investment is worth it.

Neural networks can serve in a variety of contexts. Here are a few examples:

• Voice recognition — Converting spoken language into written text allows for improved business process management.
• Natural language processing — Useful in translations, document synthesis, and information classification.
• Recognition of parts of the text — Comparing a text extract with preloaded templates allows checking inconsistencies and avoiding fraud.
• Object recognition and classification — The ability to recognize objects in an image is useful in cargo control, security and surveillance.

So, what do we mean by Machine Learning, Deep Learning, and neural networks? Read the article “What is Artificial Intelligence?” on the DeltalogiX blog and learn how AI makes processes more efficient, especially when interacting with other innovations such as Automation, IoT, and Cybersecurity. Enjoy!

Thanks for reading :)

Linda Grasso