Book Image

The Artificial Intelligence Infrastructure Workshop

By : Chinmay Arankalle, Gareth Dwyer, Bas Geerdink, Kunal Gera, Kevin Liao, Anand N.S.
Book Image

The Artificial Intelligence Infrastructure Workshop

By: Chinmay Arankalle, Gareth Dwyer, Bas Geerdink, Kunal Gera, Kevin Liao, Anand N.S.

Overview of this book

Social networking sites see an average of 350 million uploads daily - a quantity impossible for humans to scan and analyze. Only AI can do this job at the required speed, and to leverage an AI application at its full potential, you need an efficient and scalable data storage pipeline. The Artificial Intelligence Infrastructure Workshop will teach you how to build and manage one. The Artificial Intelligence Infrastructure Workshop begins taking you through some real-world applications of AI. You’ll explore the layers of a data lake and get to grips with security, scalability, and maintainability. With the help of hands-on exercises, you’ll learn how to define the requirements for AI applications in your organization. This AI book will show you how to select a database for your system and run common queries on databases such as MySQL, MongoDB, and Cassandra. You’ll also design your own AI trading system to get a feel of the pipeline-based architecture. As you learn to implement a deep Q-learning algorithm to play the CartPole game, you’ll gain hands-on experience with PyTorch. Finally, you’ll explore ways to run machine learning models in production as part of an AI application. By the end of the book, you’ll have learned how to build and deploy your own AI software at scale, using various tools, API frameworks, and serialization methods.
Table of Contents (14 chapters)
Preface
4
4. The Ethics of AI Data Storage

Interacting with Cloud Storage

Cloud storage allows developers to store data on the internet through cloud computing providers. Instead of storing and managing data locally, cloud providers manage and operate data storage as a service, which removes the needs for buying or managing your own data storage infrastructure. Thus, this allows you to access your data anytime and anywhere globally.

We are in the era of a data-driven world, and many businesses are heavily relying on data, whether it's for decision making or building intelligence systems. For companies whose business models rely on data, there are three fundamental requirements for data storage solutions: durability, availability, and security. It's extremely costly to operate a data storage infrastructure with those requirements but very cost-efficient to directly use a cloud data storage service. The benefits of using cloud data storage are not only getting those requirements met but also having backup, disaster...