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Glossary

Artificial intelligence – AI

What is Artificial Intelligence (AI)

Artificial Intelligence (AI) is a field in computer science and technology that focuses on creating intelligent machines capable of performing tasks that typically require human intelligence. The purpose of AI is to develop systems that can perceive their environment, reason, learn from experience, and make decisions or take actions to achieve specific goals. AI is usually involved in some complex tasks that cannot be solved by explicit programming. These complex tasks are usually re-formulated as a “black box” problem with known set of “inputs” and corresponding “responses“. Once the AI model is trained on this dataset it may be capable of intelligently predict the response on the new data.

AI covers different techniques and approaches, including:

  • Machine Learning (ML)
  • Deep Learning
  • Natural Language Processing (NLP)
  • Computer vision
  • Robotics

Artificial intelligence nodes

 

Why do we need Artificial Intelligence (AI)?

Artificial Intelligence (AI) exists to augment human capabilities, automate tasks, and solve complex problems that can benefit from intelligent systems. Benefits of AI include:

  • Automation and efficiency
  • Decision making and problem solving
  • Handling complexity and scale
  • Personalization and user experience
  • Innovation

The benefits of AI apply to many domains including healthcare, finance, transportation, manufacturing, and more. Examples of AI in action include virtual personal assistants, autonomous vehicles and fraud detection systems.

AI benefits most industries by using data to estimate the outcome of any action before it is even taken, and to then evaluate and learn from the results of these actions.

To go further, read our case studies on AI applications:

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