What is Artificial Intelligence?
Artificial Intelligence (AI) is a technology for creating smart programs and machines that can solve creative problems and generate new information based on existing knowledge. In fact, artificial intelligence is intended to model human activity, which is considered intellectual. A robot that simply and mechanically chops wood is not endowed with AI. The robot, which has learned to chop firewood by itself, following the example of a person and is getting better at it with every attempt, is powered by AI.
If the program simply retrieves values from the database according to certain rules, it is not endowed with AI. If the system after training creates programs, methods and documents, solving certain tasks, it possesses AI.
How to create an artificial intelligence system
The task of AI powered system involves imitating human thinking patterns.To achieve that objective, it is necessary to create a black box – a program that, in response to a set of input values, produces output values similar to the ones of a real person. And to us, it doesn’t matter what happens in “in its head” (between entry and exit).
Artificial intelligence systems are created to solve a specific class of problems.The basis of artificial intelligence – learning, imagination, perception and memory. The first component needed to create artificial intelligence powered system is to develop functions that process information in the cognitive way so that one can “feed” the data to the system. Then we need to add mechanisms that implement the ability to learn. Finally, we require a data warehouse to store the information received in the process of learning.
Next, we need to recreate functions responsible for imagination. They will simulate new scenarios and situations using existing data and thus generate new information. The learning process can be both inductive and deductive. In an inductive version of the system, pairs of inputs and outputs, questions and answers, are provided. The system must find the relationship between the data and using these patterns, identify the output data using input knowledge.
The deductive approach uses the experience of experts as the basis. It is transferred to the system as a knowledge base. In this case the platform utilizes ready-made rules to assist with finding a solution to the condition aside from data sets.
AI applications presently employ both approaches. Systems are usually already trained, but they continue to learn in the process. This continuity is done in order for the application to improve by taking to account special conditions like one’s wishes and preferences, changes in the situation, etc. One can even set the probability of unpredictability to make it more human-like.
Why artificial intelligence can perform better than a live person?
First of all, AI excels because it has a lower probability of error. Artificial intelligence cannot forget or lose information – it has an absolute memory. t cannot inadvertently ignore factors and dependencies – every AI action has a clear rationale.
AI does not fluctuate; conversely, it evaluates probabilities and is inclined in favor of a greater one. Therefore, it can justify every step. Besides, AI has no emotions, so its decision-making is not affected. Artificial intelligence programs “think” a few steps forward and embody enough resources to consider all possible scenarios.Potential options for using artificial intelligence
Generally speaking, artificial intelligence can do anything. The main aspect is to form the task correctly and populate it with data. In addition, AI can make unexpected conclusions and discern patterns where, it would seem, there are none.
Victoria Liset is strategic business & technology consultant to SMEs. She helps businesses improve their performance by using data more efficiently, and helping them to understand the implications of new technologies such as AI, Machine Learning, Big data, blockchain and IoT.