Understanding AI: Business uses and strategies

A brief introduction to AI and neural networks: What they are, how they work, and what you need to be aware of

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It can be challenging for anyone who isn’t an artificial intelligence (AI) expert to understand the key concepts behind the AI, neural networks and deep learning technologies that have been making headlines—and affecting your business. We’ve created this brief guide designed specifically for business executives who want straightforward, jargon-free explanations that can help them keep up and make better decisions.

AI has emerged as one of the most significant drivers of business transformation in history. Yet its extreme complexity can leave business leaders feeling dependent on a technology they may not fully understand.

In this guide, you’ll learn about:

1

AI, machine learning, deep learning, neural network, and deep neural network models—what they are and how they differ from each other

2

The difference between AI and generative AI

3

The different types of neural network models and the uses they’re designed for

4

The different ways to train models and why choosing the right one for your application is essential

5

Where risk can be introduced in model selection, design, training, and use—and what you can do to help mitigate it

Dive into our thinking:

Understanding AI: Business uses and strategies

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Meet our team

Image of Rachel Wagner-Kaiser
Rachel Wagner-Kaiser
Director, Data Scientist, Advisory, KPMG US

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