Currently, there are many examples of AI applications, including:
1) Chatbots using AI to quickly process customer requests and provide appropriate responses;
2) "Smart assistants" using AI to analyze large amounts of data and optimize planning;
3) Recommendation systems that automatically select programs and movies based on previously viewed content.
Author: Marcus Sutton
02/01/23
In simple terms, artificial intelligence (AI) is a system or machine that can simulate human behavior to perform various tasks and improve its performance by processing the information collected.
These are just some examples of the use of AI in our daily lives. Every day there are new opportunities to use AI, and it is becoming more common in various fields, from medicine to manufacturing.
Artificial intelligence (AI) is not a format or function, it is a process and the ability to process information and analyze data. Often, when people hear about the term "artificial intelligence", they imagine robots similar to humans who are trying to take over the world. But in fact, AI is not intended to replace humans.
Its goal is to expand the capabilities and abilities of a person, which makes him a valuable resource for business.
AI and developers.
Developers use artificial intelligence to more efficiently perform tasks that would otherwise have to be done manually, interact with customers, identify patterns and solve problems. However, working with AI requires mathematical knowledge and the ability to use algorithms.
If you are starting to work with artificial intelligence for the first time to create applications, it is recommended to start with simple tasks. For example, creating a game like tic-tac-toe will allow you to master the basics of working with AI.
Learning by doing is a great way to develop skills, and working with artificial intelligence is no exception here. Successfully completing several small projects will allow you to understand that the possibilities of artificial intelligence are truly limitless.
AI and corporations.
The use of technologies based on artificial intelligence (AI) makes it possible to increase efficiency and productivity by automating processes and tasks that were previously performed by people. In addition, AI is capable of processing volumes of data that may be difficult for human interpretation.
This skill can bring significant benefits to businesses, as, for example, in the case of Netflix, which uses machine learning for personalization, which led to a 25% increase in the audience in 2017.
Most companies attach great importance to data analytics and business analytics, investing heavily in them. According to a Gartner study that surveyed more than 3,000 CEOs, respondents named data analytics and business analytics as the most important technologies for success. These technologies are of great strategic importance, therefore, the bulk of investments are directed to them.
Artificial intelligence provides advantages for all types of businesses, both for general and specialized areas:
The use of operational and demographic data allows you to predict the profit that the client can bring throughout the entire period of interaction, which is a valuable tool for managing the client's lifecycle.;
Optimization of pricing based on customer behavior and preferences;
Pattern recognition for X-ray analysis and cancer diagnosis. This is an important application for the medical industry that allows you to detect and treat diseases faster and more accurately.
Why have AI technologies become so popular?
Three main factors are driving companies to mass adoption of AI-based technologies:
Availability of high-performance computing resources at a reasonable price. Previously, the local computing systems needed to work with AI were too expensive and inaccessible for many companies. However, now it is possible to use numerous computing resources in the cloud, which has significantly reduced the cost and increased the availability of AI-based technologies.
Availability of large amounts of data for training AI algorithms. Creating accurate AI predictions requires huge amounts of training data. Today, various tools help to label data, and the availability of simple and affordable tools for storing and processing structured and unstructured data makes it possible for more companies to create and train AI algorithms.
Competitive advantages that AI can provide. Today, more and more companies understand the importance of AI-based technologies for business development and make their implementation their priority. For example, specialized recommendation systems help to make more informed decisions faster, and AI offers many tools and opportunities to reduce costs and risks, accelerate the release of products to the market, and much more.