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Artificial Intelligence Business: How you can profit from AI

Artificial Intelligence Business: How you can profit from AI

By : noelle silver russel, Przemek Chojecki
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Artificial Intelligence Business: How you can profit from AI

Artificial Intelligence Business: How you can profit from AI

By: noelle silver russel, Przemek Chojecki

Overview of this book

We’re living in revolutionary times. Artificial intelligence is changing how the world operates and it determines how smooth certain processes are. For instance, when you go on a holiday, multiple services allow you to find the most convenient flights and the best hotels, you get personalized suggestions on what you might want to see, and you go to the airport via one of the ride-sharing apps. At each of these steps, AI algorithms are at work for your convenience. This book will guide you through everything, from what AI is to how it influences our economy and society. The book starts with an introduction to artificial intelligence and machine learning, and explains the importance of AI in the modern world. You’ll explore how start-ups make key decisions with AI and how AI plays a major role in boosting businesses. Next, you’ll find out how media companies use image generation techniques to create engaging content. As you progress, you’ll explore how text generation and AI chatbot models simplify our daily lives. Toward the end, you’ll understand the importance of AI in the education and healthcare sectors, and realize the risks associated with AI and how we can leverage AI effectively to help us in the future. By the end of this book, you’ll have learned how machine learning works and have a solid understanding of the recent business applications of AI.
Table of Contents (10 chapters)
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Hardware and beyond

In this final section on Artificial Intelligence trends, I want to talk about hardware and physical devices related to AI: AI chips, IoT, smart cities, quantum computing. Lets have a look behind these buzzwords and see actual applications and opportunities.

Its worth noting that machine learning by itself, that is, as a set of learning algorithms, is not useful until youre able to provide it with enough computing power. Thats why advances in computing power and general computation techniques are influencing AI progress. In 2019 and 2020, we could see that through Transformers models with billion parameters trained on millions of texts (GPT-2, Megatron, Turing-NLG). AlphaGo and AlphaStar from Deepmind needed millions of dollars in cutting edge computing power to achieve human-level performance in Go and StarCraft II, respectively. We can expect new amazing applications of deep learning will require even more computing power. That...

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