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AI Factory

AI Factory
Author: Ramin Karim
Publisher: CRC Press
Total Pages: 445
Release: 2023-05-24
Genre: Computers
ISBN: 1000865053

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Presents compendium of methodologies and technologies in industrial AI and digitalization Illustrates sensor to actuation approach showing complete cycle, that defines and differences AI and digitalization concept Covers a broad range of academic and industrial issues within the field of asset management Discusses impact of Industry 4.0 in other sectors Includes a dedicated chapter on real-time case studies


Competing in the Age of AI

Competing in the Age of AI
Author: Marco Iansiti
Publisher: Harvard Business Press
Total Pages: 175
Release: 2020-01-07
Genre: Business & Economics
ISBN: 1633697630

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"a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.


Beyond Algorithms

Beyond Algorithms
Author: James Luke
Publisher: CRC Press
Total Pages: 343
Release: 2022-05-30
Genre: Computers
ISBN: 1000581977

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With so much artificial intelligence (AI) in the headlines, it is no surprise that businesses are scrambling to exploit this exciting and transformative technology. Clearly, those who are the first to deliver business-relevant AI will gain significant advantage. However, there is a problem! Our perception of AI success in society is primarily based on our experiences with consumer applications from the big web companies. The adoption of AI in the enterprise has been slow due to various challenges. Business applications address far more complex problems and the data needed to address them is less plentiful. There is also the critical need for alignment of AI with relevant business processes. In addition, the use of AI requires new engineering practices for application maintenance and trust. So, how do you deliver working AI applications in the enterprise? Beyond Algorithms: Delivering AI for Business answers this question. Written by three engineers with decades of experience in AI (and all the scars that come with that), this book explains what it takes to define, manage, engineer, and deliver end-to-end AI applications that work. This book presents: Core conceptual differences between AI and traditional business applications A new methodology that helps to prioritise AI projects and manage risks Practical case studies and examples with a focus on business impact and solution delivery Technical Deep Dives and Thought Experiments designed to challenge your brain and destroy your weekends


Game AI Pro 3

Game AI Pro 3
Author: Steve Rabin
Publisher: CRC Press
Total Pages: 541
Release: 2017-07-12
Genre: Computers
ISBN: 1498742599

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Game AI Pro3: Collected Wisdom of Game AI Professionals presents state-of-the-art tips, tricks, and techniques drawn from developers of shipped commercial games as well as some of the best-known academics in the field. This book acts as a toolbox of proven techniques coupled with the newest advances in game AI. These techniques can be applied to almost any game and include topics such as behavior trees, utility theory, path planning, character behavior, and tactical reasoning. KEY FEATURES Contains 42 chapters from 50 of the game industry’s top developers and researchers. Provides real-life case studies of game AI in published commercial games. Covers a wide range of AI in games, with topics applicable to almost any game. Includes downloadable demos and/or source code, available at http://www.gameaipro.com SECTION EDITORS Neil Kirby General Wisdom Alex Champandard Architecture Nathan Sturtevant Movement and Pathfinding Damian Isla Character Behavior Kevin Dill Tactics and Strategy; Odds and Ends


Game AI Pro 2

Game AI Pro 2
Author: Steven Rabin
Publisher: CRC Press
Total Pages: 566
Release: 2015-04-17
Genre: Computers
ISBN: 1482254808

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Game AI Pro2: Collected Wisdom of Game AI Professionals presents cutting-edge tips, tricks, and techniques for artificial intelligence (AI) in games, drawn from developers of shipped commercial games as well as some of the best-known academics in the field. It contains knowledge, advice, hard-earned wisdom, and insights gathered from across the com


HBR's 10 Must Reads on AI (with bonus article "How to Win with Machine Learning" by Ajay Agrawal, Joshua Gans, and Avi Goldfarb)

HBR's 10 Must Reads on AI (with bonus article
Author: Harvard Business Review
Publisher: Harvard Business Press
Total Pages: 239
Release: 2023-09-05
Genre: Computers
ISBN: 1647825857

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The next generation of AI is here—use it to lead your business forward. If you read nothing else on artificial intelligence and machine learning, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand the future direction of AI, bring your AI initiatives to scale, and use AI to transform your organization. This book will inspire you to: Create a new AI strategy Learn to work with intelligent robots Get more from your marketing AI Be ready for ethical and regulatory challenges Understand how generative AI is game changing Stop tinkering with AI and go all in This collection of articles includes "Competing in the Age of AI," by Marco Iansiti and Karim R. Lakhani; "How to Win with Machine Learning," by Ajay Agrawal, Joshua Gans, and Avi Goldfarb; "Developing a Digital Mindset," by Tsedal Neeley and Paul Leonardi; "Learning to Work with Intelligent Machines," by Matt Beane; "Getting AI to Scale," by Tim Fountaine, Brian McCarthy, and Tamim Saleh; "Why You Aren't Getting More from Your Marketing AI," by Eva Ascarza, Michael Ross, and Bruce G. S. Hardie; "The Pitfalls of Pricing Algorithms," by Marco Bertini and Oded Koenigsberg; "A Smarter Strategy for Using Robots," by Ben Armstrong and Julie Shah; "Why You Need an AI Ethics Committee," by Reid Blackman; "Robots Need Us More Than We Need Them," by H. James Wilson and Paul R. Daugherty; "Stop Tinkering with AI," by Thomas H. Davenport and Nitin Mittal; and "ChatGPT Is a Tipping Point for AI," by Ethan Mollick. HBR's 10 Must Reads paperback series is the definitive collection of books for new and experienced leaders alike. Leaders looking for the inspiration that big ideas provide, both to accelerate their own growth and that of their companies, should look no further. HBR's 10 Must Reads series focuses on the core topics that every ambitious manager needs to know: leadership, strategy, change, managing people, and managing yourself. Harvard Business Review has sorted through hundreds of articles and selected only the most essential reading on each topic. Each title includes timeless advice that will be relevant regardless of an ever‐changing business environment.


Artificial Intelligence Business: How you can profit from AI

Artificial Intelligence Business: How you can profit from AI
Author: Przemek Chojecki
Publisher: Packt Publishing Ltd
Total Pages: 150
Release: 2020-08-20
Genre: Computers
ISBN: 1800563469

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The concise guide to artificial intelligence for business people and commercially oriented data scientists Key FeaturesFind out how artificial intelligence is shaping the future of businessesDiscover how AI influences the society and its politics and economyExplore the future of AI and its applicationsBook Description 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. What you will learnFind out how AI helps in building innovative cultures in enterprisesUnderstand how AI boosts start-upsDiscover modern AI trends in the field of manufacturing and logisticsExplore the benefits of text and image generation applicationsStudy popular machine learning trends and their usageUncover the uses of AI in politics and societyWho this book is for This book is for artificial intelligence enthusiasts or anyone with a business background who wants to learn how AI can scale up businesses.


Inside AI

Inside AI
Author: Akli Adjaoute
Publisher: Simon and Schuster
Total Pages: 335
Release: 2024-05-14
Genre: Computers
ISBN: 1638354871

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Separate the AI facts from the AI fiction, and discover how you can best put these tools to work in your organization. In Inside AI AI professor and entrepreneur Dr. Akli Adjaoute puts AI in perspective, with informed insights from 30 years spent in the field. His book lays out a pragmatic blueprint that every leader can utilize to drive innovation with artificial intelligence. In Inside AI you’ll learn how to: Gain insight into diverse AI techniques and methodologies Learn from both successful and failed AI applications Identify the capabilities and limitations of AI systems Understand successful and failed uses of AI in business See where human cognition still exceeds AI Bust common myths like AI’s threat to jobs and civilization Manage AI projects effectively Inside AI takes you on a journey through artificial intelligence, from AI’s origins in traditional expert systems all the way to deep learning and Large Language Models. There’s no hype here—you’ll get the grounded, evidence-based insights that are vital for making strategic decisions and preparing your business for the future. About the technology Artificial Intelligence enthusiasts promise everything from human-like collaboration on everyday tasks to the end of work as we know it. Is AI just a flash in the pan, or can it really transform how you do business? This intriguing book sifts through the hype and separates the truth from the myths, with clear advice on what AI can—and can’t—achieve. About the book Inside AI provides a clear-headed overview of modern artificial intelligence, including the recent advances of Generative AI and Large Language Models. Its accessible and jargon-free explanations of leading AI techniques showcase how AI delivers tangible advantages to businesses. Both inspiring and practical, this book provides a proven framework for developing successful AI applications. What's inside Insights from successful and failed AI applications A survey of AI techniques and methodologies Bust common AI myths Manage AI projects effectively About the reader For anyone seeking grounded insights into AI’s capabilities, including business leaders and decision makers. About the author Akli Adjaoute is the founder of multiple AI-related companies. He served as an adjunct professor at the University of San Francisco and as Scientific Committee Chair and Head of the AI department at EPITA. The technical editor on this book was Richard Vaughan. Table of contents 1 The rise of machine intelligence 2 AI mastery: Essential techniques, Part 1 3 AI mastery: Essential techniques, Part 2 4 Smart agent technology 5 Generative AI and large language models 6 Human vs. machine 7 AI doesn’t turn data into intelligence 8 AI doesn’t threaten our jobs 9 Technological singularity is absurd 10 Learning from successful and failed applications of AI 11 Next-generation AI A Tracing the roots: From mechanical calculators to digital dreams B Algorithms and programming languages


Artificial Intelligence Applications in Manufacturing

Artificial Intelligence Applications in Manufacturing
Author: A. Fazel Famili
Publisher: Menlo Press, Calif. : AAAI Press/MIT Press
Total Pages: 486
Release: 1992
Genre: Computers
ISBN:

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The past decade has seen considerable advances in CAE tools that employ leading-edge artificial intelligence techniques and that can be used with CAD/CAM tools to reduce design costs. In three parts, this book covers current Al applications that can prove beneficial in the design and planning stages of manufacturing, that can assist in solving scheduling and control problems, and that can be used in manufacturing integration.A. F. Famili is Research Scientist at the Knowledge Systems Laboratory of the National Research Council of Canada. Steven H. Kim is Visiting Fellow at the Design Research Institute, Cornell University. Dana S. Nau an Associate Professor in the Computer Science Department at the University of Maryland.Contents: Application of Machine Learning to Industrial Planning and Decision Making. Incorporating Special Purpose Resource Design in Planning to Make More Efficient Plans. Geometric Reasoning Using a Feature Algebra. Backward Assembly Planning Symmetry Groups in Solid Model-Based Assembly Planning. An Expert System Approach for Economic Evaluation of Machining Operation Planning. Interactive Problem Solving for Production Planning. An Abstraction-Based Search and Learning Approach for Effective Scheduling. ADDYMS: Architecture for Distributed Dynamic Manufacturing Scheduling. An Architecture for Real Time Distributed Scheduling. Teamwork Among Intelligent Agents: Framework and Case Study in Robotic Service. Exploiting Local Flexibility During Execution of Precomputed Schedules. Symbolic Representation and Planning for Robot Control Systems in Manufacturing. An Architecture for Integrating Enterprise Automation. An Intelligent Agent Framework for Enterprise Integration. Integrated Software System for Intelligent Manufacturing. Enterprise Management Network Architecture: A Tool for Manufacturing Enterprise Integration. Design and Manufacturing: Integration through Quality.


Annual Report

Annual Report
Author: Agricultural Commission of Ohio. Dairy and Food Division
Publisher:
Total Pages: 358
Release: 1922
Genre: Weights and measures
ISBN:

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