Extra-condensed knowledge

This pervasive and powerful form of artificial intelligence is changing every industry. Here’s what you need to know about the potential and limitations of machine learning and how it’s being used.

Machine learning is behind chatbots and predictive text, language translation apps, the shows Netflix suggests to you, and how your social media feeds are presented. It powers autonomous vehicles and machines that can diagnose medical conditions based on images.
When companies today deploy artificial intelligence programs, they are most likely using machine learning — so much so that the terms are often used interchangeably, and sometimes ambiguously.

Machine learning is a subfield of artificial intelligence that gives computers the ability to learn without explicitly being programmed.

A 2020 Deloitte survey found that 67% of companies are using machine learning, and 97% are using or planning to use it in the next year.

Genioux knowledge fact condensed as an image

Condensed knowledge

CONTEXT

This pervasive and powerful form of artificial intelligence is changing every industry. Here’s what you need to know about the potential and limitations of machine learning and how it’s being used.
Machine learning is behind chatbots and predictive text, language translation apps, the shows Netflix suggests to you, and how your social media feeds are presented. It powers autonomous vehicles and machines that can diagnose medical conditions based on images.
When companies today deploy artificial intelligence programs, they are most likely using machine learning — so much so that the terms are often used interchangeably, and sometimes ambiguously.
Machine learning is a subfield of artificial intelligence that gives computers the ability to learn without explicitly being programmed.
A 2020 Deloitte survey found that 67% of companies are using machine learning, and 97% are using or planning to use it in the next year.

Category 2: The Big Picture of the Digital Age

[genioux fact deduced or extracted from MIT Sloan School of Management]

This is a “genioux fact” fast solution.

Type of essential knowledge of this “genioux fact”: Essential Deduced and Extracted Knowledge (EDEK).

Type of validity of the "genioux fact".

Inherited from sources + Supported by the knowledge of one or more experts + Supported by research.

Authors of the genioux fact

Fernando Machuca

References

Machine learning, explained, Sara Brown, April 21, 2021, MIT Sloan School of Management.

ABOUT THE AUTHORS

Extracted from MIT Sloan School of Management

Sara Brown

Sara writes about management issues affecting global business leaders, with an emphasis on management science. Areas of interest include artificial intelligence, the digital economy, marketing, operations management, platforms, system dynamics, and supply chain.

Prior to MIT Sloan, Sara was a reporter and editor at the Vineyard Gazette on Martha's Vineyard. She has written for The Boston Globe and Martha's Vineyard Magazine, among other publications. She is a master's degree in journalism from Boston University and an undergraduate degree from the University of Washington.