Producing Artificial Intelligent Systems
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Producing Artificial Intelligent Systems
Author: Maria Isabel Aldinhas Ferreira
language: en
Publisher: Springer Nature
Release Date: 2024-06-04
The fast development of intelligent technologies in the previous years, their boost during the COVID crisis, and their huge acceleration with the proliferation of the Large Language Models has led industry, governance, legislators and regulators to race to achieve production control, striving to define regional and global regulatory frameworks, capable of guaranteeing their safe deployment. In an evolving and uneven regulatory context, balancing fast technological development and the safe and ethical use of these new disruptive technologies, with an expected total economic impact of 4.4 trillion dollars annually, becomes presently the biggest challenge. The present book addresses the fundamental role played by the three milestones- Benchmarking, Standardization, and Certification that are part of the developmental loop of all products in developed economies. The essential role played by these milestones and the importance of defining accurate general and specific metrics is addressed in this book with particular case studies in the domains of Robotics and AI-
Building Intelligent Systems
Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success. This book teaches you how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems. Building Intelligent Systems is based on more than a decade of experience building Internet-scale Intelligent Systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world. What You’ll Learn Understand the concept of an Intelligent System: What it is good for, when you need one, and how to set it up for success Design an intelligent user experience: Produce data to help make the Intelligent System better over time Implement an Intelligent System: Execute, manage, and measure Intelligent Systems in practice Create intelligence: Use different approaches, including machine learning Orchestrate an Intelligent System: Bring the parts together throughout its life cycle and achieve the impact you want Who This Book Is For Software engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems
Handbook of Research on Integrating Industry 4.0 in Business and Manufacturing
In Industry 4.0, industrial productions are adjusted to complete smart automation, which means introducing self-automation methods, self-configuration, self-diagnosis of problems and removal, cognition, and intelligent decision making. This implementation of Industry 4.0 brings about a change in business paradigms and production models, and this will be reflected at all levels of the production process including supply chains and will involve all workers in the production process from managers to cyber-physical systems designers and customers as end-users. The Handbook of Research on Integrating Industry 4.0 in Business and Manufacturing is an essential reference source that explores the development and integration of Industry 4.0 by examining changes and innovations to manufacturing processes as well as its applications in different industrial areas. Featuring coverage on a wide range of topics such as cyber physical systems, integration criteria, and artificial intelligence, this book is ideally designed for mechanical engineers, electrical engineers, manufacturers, supply chain managers, logistics specialists, investors, managers, policymakers, production scientists, researchers, academicians, and students at the postgraduate level.