The AI has received steady improvements since its appearance in the 60s was started by models of thought and representation of knowledge, through computational representation models and applications for companies from different sectors in the 80s-90s by 2000, the market already included smart electronic objects thanks to connectivity between systems.
In the era of 2000 onwards, Artificial Intelligence goes through different moments: its main objective is the integration of various sources of information and the management and treatment of large data flows.
The application of Artificial Intelligence translates into savings in time, costs, speed of work and ease in decision-making. The following describes Artificial Intelligence applications brought to the business world.
Table of Contents
Task And Process Automation
Many of the activities carried out in the business world are carried out manually, which directly affects the cost and time aspects. Many of these activities are automatable thanks to Linguistic Engineering, one of the branches of Artificial Intelligence.
Linguistic Engineering is nourished from the framework of natural language processing and disciplines of computational linguistics, corpus linguistics or translation to offer more analytical, profound, exhaustive and effective results than those carried out manually. Human personnel are not expendable, as they always enrich the analysis with their knowledge and allow them to focus their attention on other types of tasks.
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Analysis And Management Of Large Amounts Of Data
We are currently in the era of information management. Such a quantity of data is generated that traditional data processing computer applications are not sufficient to manage and generate value with the information contained.
DAIL Software has a set of natural language processing technology and computational linguistics techniques that allow obtaining the value that would be impossible and unattainable manually, such as the automatic classification of documents and the detection of similarity between them.
Automatic Detection Of Subjective Values
It is a common topic to think that subjectivity is a human perspective. Computational linguistics is able to replicate human neural processes in order to deduce whether a text contains positive, negative or neutral connotations (sentiment analysis, tone analysis or opinion analysis) .
Many marketing agencies, brands and large companies manually calculate the opinion that users have. DAIL Software has precise and exhaustive technology to calculate this connotation. Other subjective values are calculated, for example, the intention of the users when communicating (help request, question, suggestion.
Social Media And Digital Media: A Source Of Value For Business
Social networks allow us to communicate breaking physical barriers. They also allow us to participate in communication with people anywhere in the world.
Social media is a source of communication, influence and trends for many companies, regardless of their sector. The language poured into them becomes a precious resource. DAIL applies natural language processing technology and computational techniques to offer companies knowledge of the same or the competition.
Monitoring a brand, trends or users allows in-depth knowledge of the sector, consumers and competition, among others. It also adds the value of monitoring specific actions to plan a strategy and see the results of them.
Also Read: The Importance Of Robotic Process Automation (RPA) In Human Resources