What is meant by artificial intelligence? Learn about artificial intelligence
Explaining artificial intelligence (AI)
In the simplest terms, AI refers to systems or devices that mimic human intelligence to perform tasks and that can improve themselves based on the information they collect. Artificial intelligence manifests in a number of forms. Some examples:
Chatbots use artificial intelligence to understand customer issues faster and provide more efficient answers
AI creators use it to parse critical information from a large pool of text data to improve scheduling
Recommendation engines can provide automated recommendations for TV shows based on users' viewing habits
Artificial intelligence is more about the ability to think superiorly and analyze data than it is about a specific form or function. Although AI presents images of high-performance, human-like robots taking over the world, it does not aim to replace humans. It aims to greatly enhance human capabilities and contributions. Which makes it a very valuable business asset.
Artificial intelligence terminology
Artificial intelligence has become an umbrella term for applications that perform complex tasks that once required human input, such as communicating with customers over the Internet or playing a game of chess. The term is often used interchangeably with its subfields, which include machine learning and deep learning. However, there are differences. For example, machine learning focuses on creating systems that learn or improve their performance based on the data they consume. It is important to note that although all machine learning is AI, not all AI is machine learning.
To get the full value from AI, many companies are making significant investments in data science teams. Data science, an interdisciplinary field that uses scientific and other methods to extract value from data, combines skills drawn from fields such as statistics and computer science with scientific knowledge to analyze data collected from multiple sources.
Artificial intelligence and developers
Developers will use AI to more efficiently perform manually performed tasks, communicate with customers, identify patterns, and solve problems. To get started with AI, developers must have a background in mathematics and feel comfortable with algorithms.
When starting to use AI to build an app, it helps to start small. By building a relatively simple project, like tic-tac-toe, for example, you'll learn the basics of artificial intelligence. Learning by doing is a great way to improve any skill, and AI is no different. Once you have successfully completed one or more small projects, there are no limits to where AI can take you.
