4 Apr
2018

McKinsey - An executive’s guide to AI

McKinsey publised an online executive's guide to AI to cover the highlights of artificial intelligence: machine learning and deep learning.

Artificial Intelligence
McKinsey - An executive’s guide to AI
Artificial Intelligence
Artificial Intelligence
Food & Beverages Processing
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Consumer Product Goods
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Material Building & Construction
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Original Equipment Manufacturer (OEM)
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Pharmaceuticals & Supplements
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Packaging & Co-manufacturing
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McKinsey publised an online executive's guide to AI to cover the highlights of artificial intelligence.

The article starts with a brief definition of AI:

"AI is typically defined as the ability of a machine to perform cognitive functions we associate with human minds, such as perceiving, reasoning, learning, interacting with the environment, problem solving, and even exercising creativity. "

The guide continues with Why AI now?, a interactive timeline which presents the first technologies and innovations that led to AI.

The guide goes on with machine learning and the various type and some business use cases:

Supervised learning

 

Supervised_learning

 

Unsupervised learning

Unsupervised_Leanring

 

Reinforcement learning

 

Reinforcement_Learning

The guide ends on the subject of Deep Learning, defining it as:

"Deep learning is a type of machine learning that can process a wider range of data resources, requires less data preprocessing by humans, and can often produce more accurate results than traditional machine-learning approaches (although it requires a larger amount of data to do so.)"

They present 2 majors models of deep learning and some business use cases:

Convolutional neural network

 

Convolutional neural network

 

Recurrent neural network.

 

Recurrent_Neural_Network

SOURCE AND TO READ THE FULL ARTICLE : https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/an-executives-guide-to-ai

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