Book Image

Artificial Intelligence Business: How you can profit from AI

By : Przemek Chojecki
Book Image

Artificial Intelligence Business: How you can profit from AI

By: 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)

Computer Vision

With a new generation of hardware (AI chips, stronger GPUs), we see a lot of advances in image processing. Generative Adversarial Networks (GANs) since their introduction in 2015 became widespread and continue to surprise with their results. In particular, the next frontiers in image generation include commercial uses of GANs in the fashion and film industry; some we have discussed in the previous chapter.

In fashion, a standard process is organising a photo session for each new line of products. One needs high-quality photos with constraints on whats shown, namely a garment from a fashion designer. GANs could potentially be used to generate models on which fashion products are shown. Some experiments in this direction are already in place, but the whole problem - generating photorealistic images of models with particular pieces of clothes on them - seems still to be out of reach. Its solution will require both local and global GANs for managing the generation...