Continuing our analysis, we can distinguish two types of Artificial Intelligence:

[nurmohammadkhan]

What are we talking about when we talk about AI?
AI, Artificial Intelligence: a buzzword on everyone's lips, which is often waved around like a slogan, ending up losing its concrete and operational meaning.

Let's start by quickly defining the boundaries of this vast field, relying on some definitions provided by Accenture.

First of all, it is important to underline that Artificial Intelligence is not a single thing, but is “ a set of different technologies that interact to enable machines to perceive, understand, act and learn with human-like levels of intelligence” (source: Accenture).


Narrow (or weak) AI: the most widespread in our daily life, which concerns specific fields of action, related to single tasks that are often very consequential. The primary objective, in this type of application, is to increase the efficiency of all processes.
General (or strong) AI: here we are in a broad and constantly changing field, that which concerns computer systems capable of “thinking” in a strategic, abstract and creative way, “with the ability to manage a series of complex tasks”.
Let's make it clear right away: the applications of artificial intelligence in the algeria whatsapp resource Pharma sector involve both sides . These applications are many, some are intertwined with processes concerning other sectors to which Pharma is connected, they are constantly changing, and this cannot be the place to offer a complete and exhaustive overview.

Here is an eloquent figure: approximately 50% of companies in the pharmaceutical and healthcare sector will implement Artificial Intelligence strategies by 2025 (source: pharmanewsintel.com).

And here is a fundamental clarification: implementing AI systems does not mean replacing the human with the “machine” . On the contrary, it is about an increasingly close collaboration , in order to truly put the human being, the patient, at the center of everything: in short, the Customer Experience . This is the key point that must always be kept in mind!

In the continuation of this article we have isolated 4 macro-themes that cover very different but interconnected areas. In this way we want to offer the reader the broadest possible overview of artificial intelligence in the Pharma sector : a starting point for further insights.



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