AI is one of the biggest buzzwords in general technology, and in IT in particular. So, what impact does it have on the technical communication ecosystem – today and in the near future?
What is (linguistic) AI?
Let’s start with a proper definition of AI. Colloquially, the term "Artificial Intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving".
As this is a wide field, divided into multiple subcategories, in this article I will focus on the subcategory with the most obvious impact on technical communication: linguistic AI. This combines three subjects: language processing, language understanding and language generation – powered by machine learning (ML).
Figure 1: What is linguistic AI?
As in all neural technology using machine learning, successful implementation of linguistic AI applications is based on three main pillars:
- Machine learning competence
Deep expertise in ML techniques and algorithms is a core requirement
- Good data
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