What is Artificial Intelligence?
Artificial intelligence (AI), in its simplest definition, is a way to simulate human intelligence (be human-like) in machines. Artificial intelligence can acquire experiences and self-train as it analyzes data and is being designed to recognize speech, images and patterns. The difference between artificial intelligence and human intelligence, in this regard, is its ability to analyze a vast amount of data and provide predictions and processes in significantly shorter times. As computing accelerates, predictive model times are decreasing from hours to minutes.
Since its inception in 1956, AI has been defined by its goals and objectives:
These definitions of AI have evolved over the years based on the industries’ focus of utilizing this technology. Despite having the same foundation, the focus of AI shifts depending on the industry and its use. AI technology is about collecting vast amounts of data and making sense out of it so businesses can operate more efficiently and use analysis to create better products and services. The benefits of artificial intelligence are already prevalent and becoming modern day conveniences such as autonomy in vehicles like automatic parallel parking and predictive algorithms used for shopping on Amazon or streaming video suggestions on Netflix. AI will continue to change our lives from the way we buy and fly to what we eat and watch. Artificial intelligence is part of the Fourth Industrial Revolution and, for the future workforce, machines are poised to take over some jobs; although this is nothing new and has occurred in the previous industrial revolutions. What also has occurred though and is often overlooked, is that new technology with each industrial revolution spurs new jobs as well, some which are yet to be realized . A.I. is just an instrument to help humans do things faster and more efficient. AI’s challenges include security and data privacy concerns. Companies collecting data for artificial intelligence analysis will need to be cognizant of government laws and regulations concerning data usage and personal information protection.
- Learning: Understanding the human world of objects and people and their complex relationships. This is a phenomenon through which a system is trained to give accurate results.
- Audio-visual perception: Achieving image or object recognition and language processing.
- Goal-based problem solving: Solving problems by finding the sequence of actions leading to desirable goals.
- Knowledge representation: Representing the knowledge of the world in a computer-understandable format.
- Pattern recognition: Processing of recognized patterns by using advanced computer algorithms. It is the classification of data based on previously learned knowledge.