Artificial intelligence (AI) for beginners

Artificial intelligence seems difficult when you start working. Let’s discuss how AI works, common types of AI, how it develops insight into big data and key strategies.

By Stephanie Overby

August 20, 2020

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Artificial intelligence (AI) has evolved from a fantasy to a reality in companies in various industries. The total installed base of the artificial intelligence facility will increase from 2.7 billion in 2019 to 4.5 billion in 2024, according to ABI Research. Global spending on artificial intelligence Pollution Damage quality of air’water’land systems will reach $ 97.9 billion in 2023, two and a half times more than in 2019, according to the IDC Worldwide Artificial Intelligence Systems Spending Guide.

“The use of AI and machine learning (ML) occurs in many solutions and applications, from ERP and software manufacturing to content management, collaboration and user productivity. Artificial intelligence and machine learning are at the forefront of most organizations today, ”said David Schubmehl, director of research at IDC’s Cognitive / Artificial Intelligence Systems with a guide, adding that artificial intelligence is a disruptive effect that pervades the industry. next decade.

It is clear that AI will soon be on everyone’s plan. As the Enterprisers Project stated in our report from the Harvard Business Review Analytic Services, An Executive Guide to Real World AI: “Technology hype is nothing new. What is different this season is the level that these rational and knowledgeable people believe exists. In fact, it is really urgent today to go to AI.

[Get our foundation for fast scanning of 10 key artificial intelligence terms for IT and business leaders: Cheat sheet: AI Glossary. ]

It’s all the more important to get the basics. Let’s check:

How AI works

Artificial intelligence often – and at the most basic level – analyzes historical data to predict the future.

Artificial intelligence has learned a lot like humans – except at higher speeds.

“AI connects the state of a company’s technical process to its results and allows developers to create the desired results that are more common among the people you have,” explains Whit Andrews, vice president and renowned analyst at Gartner.

[See also: How to spell AI in plain English.]

Artificial intelligence captures large volumes of data on your phone, in your car, and in your new enterprise IT application, creating an ambiguous model that best optimizes what already defines old goals or reward functions.

“This goal is often represented by some calculated measure of how often artificial intelligence is right in its outputs,” said Timothy Havens, William and Gloria Jackson, associate professors of computer systems at the College of Computing at Michigan University of Technology and director of the Institute of Computer Science and Cybernetics. systems. Artificial intelligence has learned a lot like humans – except at higher speeds.

How AI and big data work together

AI is best combined with problems where a lot of historical data already exists or where the data can be easily simulated. Today, there are many different types of business problems where there is a lot of data: Think about customer service, cybersecurity, fraud detection, marketing, network management, predictive maintenance, and supply chain automation.