AI (Artificial Intelligence or Machine Intelligence) is a Trans-discipline domain where technology that can imitate human behaviour like ability to learn from past experience, to reason, to discover meaning, to plan and to solve problems are developed to solve real life complex problems.
Robotic Process Automation, robots that can perform tasks that are difficult for humans to perform consistently, self-driving cars, speech recognition, expert systems all these are products of AI.
AI has the potential to vastly change the way that humans interact, not only with the digital world, but also with each other, through their work and through other socioeconomic institutions.
Machine Learning is a subfield of Artificial Intelligence that is used for learning from data, interactions with environment and improvising, without being explicitly programmed.
The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly.
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The possibilities of using AI are endless. It is being used in every field.
Expert systems, speech recognition, machine vision, algorithmic trading, market analysis and data mining, predictive analysis, medical diagnosis, electronic trading platforms, robot control, remote sensing, image recognition, Natural Language Processing and many more are applications of AI.
It can be used in fields like military, agriculture, medical, aviation, educational, space, marketing and finance, media and e-commerce, telecommunications, transportation. AI is also being used to tackle some of the world's greatest economic and social challenges, with the goal of using AI to address socially relevant problems.