The Concept of Artificial Intelligence in Office Automation
Artificial intelligence is a field of study where machines can “think” and make decisions in ways that are somewhat similar to what a human will be able to do, without fixed rules. The use of artificial intelligence can provide enormous benefits in various ways, especially those related to digital data. A.I. can be a tremendous help for office automation. In different branches and industries, AI allows accelerating and enhancing processes thanks to its capacity for constant improvement based on experience.
The Artificial Intelligence collects and processes data from a lot of sources, even bigger than that a human alone could do. They identify specific points, eliminate what is not necessary, expand their network and can manage the information to provide the administrator with a clear answer to what they are looking for.
Categories of A.I.
Oxford Dictionary defines Artificial Intelligence as “the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.”
The term “artificial intelligence” is very broad and includes various types of computer-based machine abilities. Humans do many things in an intuitive manner such that we may not recognize our own intelligence in doing “intelligent” tasks versus “simple” tasks that are based on rules.
We can broadly classify A.I. into the following categories:
– image-based recognition/ detection
– voice/ speech recognition
– natural language processing (NLP)
– machine learning
How to use A.I. in office automation
The potential use of A.I. in office automation:
– Identifying processes that can be suited for automation;
– Reading/ interpreting/ classifying data in documents
– Recognizing speech and turning it into text
– Classifying documents according to the logos and letter-heads
– Forecasting demand for goods
Essentially, automation frees companies and their employees up to be more empathetic, to focus on things like the customer experience, employee engagement, and workplace culture.