Human Machine Updated And Expanded
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Human Machine Updated And Expanded
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Author : Paul R. Daugherty
language : en
Publisher:
Release Date : 2024-07-16
Human Machine Updated And Expanded written by Paul R. Daugherty and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-16 with Business & Economics categories.
AI--including Generative AI--is radically transforming business. Are you ready? Accenture technology leaders Paul Daugherty and Jim Wilson provide crucial insights and advice to meet the challenge. Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and now Generative AI, like ChatGPT, that is radically reshaping work and productivity. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In this new, updated, and expanded edition of Human + Machine, Accenture technology leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or completely reimagine them. The bottom line is that AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability and what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader's guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in the new age of AI.
Human Machine
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Author : Paul R. Daugherty
language : en
Publisher: Harvard Business Press
Release Date : 2018-03-20
Human Machine written by Paul R. Daugherty and has been published by Harvard Business Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-20 with Computers categories.
AI is radically transforming business. Are you ready? Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader’s guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI. BOOK PROCEEDS FOR THE AI GENERATION The authors' goal in publishing Human + Machine is to help executives, workers, students and others navigate the changes that AI is making to business and the economy. They believe AI will bring innovations that truly improve the way the world works and lives. However, AI will cause disruption, and many people will need education, training and support to prepare for the newly created jobs. To support this need, the authors are donating the royalties received from the sale of this book to fund education and retraining programs focused on developing fusion skills for the age of artificial intelligence.
Prediction Machines Updated And Expanded
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Author : Ajay Agrawal
language : en
Publisher: Harvard Business Press
Release Date : 2022-11-15
Prediction Machines Updated And Expanded written by Ajay Agrawal and has been published by Harvard Business Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-15 with Business & Economics categories.
Named one of "The five best books to understand AI" by The Economist The impact AI will have is profound, but the economic framework for understanding it is surprisingly simple. Artificial intelligence seems to do the impossible, magically bringing machines to life—driving cars, trading stocks, and teaching children. But facing the sea change that AI brings can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many either cower in fear or predict an impossibly sunny future. But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this masterful stroke, they lift the curtain on the AI-is-magic hype and provide economic clarity about the AI revolution as well as a basis for action by executives, policy makers, investors, and entrepreneurs. In this new, updated edition, the authors illustrate how, when AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions amid uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity—operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business strategies to compete. The authors reset the context, describing the striking impact the book has had and how its argument and its implications are playing out in the real world. And in new material, they explain how prediction fits into decision-making processes and how foundational technologies such as quantum computing will impact business choices. Penetrating, insightful, and practical, Prediction Machines will help you navigate the changes on the horizon.
The Human Machine
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Author : Arnold Bennett
language : en
Publisher: Lulu.com
Release Date : 1972
The Human Machine written by Arnold Bennett and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with Brain categories.
Human Machine Reconfigurations
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Author : Lucille Alice Suchman
language : en
Publisher: Cambridge University Press
Release Date : 2007
Human Machine Reconfigurations written by Lucille Alice Suchman and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.
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Radically Human
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Author : Paul Daugherty
language : en
Publisher: Harvard Business Press
Release Date : 2022-04-26
Radically Human written by Paul Daugherty and has been published by Harvard Business Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-26 with Business & Economics categories.
Technology advances are making tech more . . . human. This changes everything you thought you knew about innovation and strategy. In their groundbreaking book, Human + Machine, Accenture technology leaders Paul R. Daugherty and H. James Wilson showed how leading organizations use the power of human-machine collaboration to transform their processes and their bottom lines. Now, as new AI powered technologies like the metaverse, natural language processing, and digital twins begin to rapidly impact both life and work, those companies and other pioneers across industries are tipping the balance even more strikingly toward the human side with technology-led strategy that is reshaping the very nature of innovation. In Radically Human, Daugherty and Wilson show this profound shift, fast-forwarded by the pandemic, toward more human—and more humane—technology. Artificial intelligence is becoming less artificial and more intelligent. Instead of data-hungry approaches to AI, innovators are pursuing data-efficient approaches that enable machines to learn as humans do. Instead of replacing workers with machines, they're unleashing human expertise to create human-centered AI. In place of lumbering legacy IT systems, they're building cloud-first IT architectures able to continuously adapt to a world of billions of connected devices. And they're pursuing strategies that will take their place alongside classic, winning business formulas like disruptive innovation. These against-the-grain approaches to the basic building blocks of business—Intelligence, Data, Expertise, Architecture, and Strategy (IDEAS)—are transforming competition. Industrial giants and startups alike are drawing on this radically human IDEAS framework to create new business models, optimize post-pandemic approaches to work and talent, rebuild trust with their stakeholders, and show the way toward a sustainable future. With compelling insights and fresh examples from a variety of industries, Radically Human will forever change the way you think about, practice, and win with innovation.
Multimodal Interface For Human Machine Communication
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Author : P C Yuen
language : en
Publisher: World Scientific
Release Date : 2002-04-10
Multimodal Interface For Human Machine Communication written by P C Yuen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-04-10 with Computers categories.
With the advance of speech, image and video technology, human–computer interaction (HCI) will reach a new phase. In recent years, HCI has been extended to human–machine communication (HMC) and the perceptual user interface (PUI). The final goal in HMC is that the communication between humans and machines is similar to human-to-human communication. Moreover, the machine can support human-to-human communication (e.g. an interface for the disabled). For this reason, various aspects of human communication are to be considered in HMC. The HMC interface, called a multimodal interface, includes different types of input methods, such as natural language, gestures, face and handwriting characters. The nine papers in this book have been selected from the 92 high-quality papers constituting the proceedings of the 2nd International Conference on Multimodal Interface (ICMI '99), which was held in Hong Kong in 1999. The papers cover a wide spectrum of the multimodal interface. Contents:Introduction to Multimodal Interface for Human–Machine Communication (P C Yuen et al.)Algorithms:A Face Location and Recognition System Based on Tangent Distance (R Mariani)Recognizing Action Units for Facial Expression Analysis (Y-L Tian et al.)View Synthesis Under Perspective Projection (G C Feng et al.)Single Modality Systems:Sign Language Recognition (W Gao & C Wang)Helping Designers Create Recognition-Enabled Interfaces (A C Long et al.)Information Retrieval:Cross-Language Text Retrieval by Query Translation Using Term Re-Weighting (I Kang et al.)Direct Feature Extraction in DCT Domain and Its Applications in Online Web Image Retrieval for JPEG Compressed Images (G Feng et al.)Multimodality Systems:Advances in the Robust Processing of Multimodal Speech and Pen Systems (S Oviatt)Information-Theoretic Fusion for Multimodal Interfaces (J W Fisher III & T Darrell)Using Virtual Humans for Multimodal Communication in Virtual Reality and Augmented Reality (D Thalmann) Readership: Computer scientists and engineers. Keywords:
Human Machine
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Author : Daniel Newman
language : en
Publisher: Kogan Page Publishers
Release Date : 2019-07-03
Human Machine written by Daniel Newman and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-03 with Business & Economics categories.
Will the workplace of the future be overrun by machines and robots? Are the new frontiers of artificial intelligence (AI) on the cusp of dethroning us in efficiency, intelligence and innovative potential? Automation and AI will augment our human world and potential. The winners of the future of work are those that harness the power of machines to their advantage. Human/Machine is the only guide you need to understand the fourth industrial revolution. It sets out a road map to the challenges ahead, but also unlocks the wondrous opportunities that it offers. Human/Machine explores how we will work symbiotically with machines, detailing how institutions, companies, individuals and education providers will evolve to integrate seamlessly with new technologies. With exclusive case studies, this book offers a glimpse into the future and details how top companies are already thriving on this very special relationship. From gamification in job training to project management teams integrated with bots and predictive technologies that fix problems in the supply chain before they happen, the authors deliver a powerful manifesto for the adoption and celebration of automation and AI. In a much more fluid, skills-based economy, we will all need to prove our worth and future-proof our skills base. This book offers a blueprint to avoid being left behind and unearth the opportunities unique to human-machine partnership ecosystems.
Human Machine Shared Contexts
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Author : William Lawless
language : en
Publisher: Academic Press
Release Date : 2020-06-10
Human Machine Shared Contexts written by William Lawless and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-10 with Computers categories.
Human-Machine Shared Contexts considers the foundations, metrics, and applications of human-machine systems. Editors and authors debate whether machines, humans, and systems should speak only to each other, only to humans, or to both and how. The book establishes the meaning and operation of “shared contexts between humans and machines; it also explores how human-machine systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems composed of humans and machines. This book explores how user interventions may improve the context for autonomous machines operating in unfamiliar environments or when experiencing unanticipated events; how autonomous machines can be taught to explain contexts by reasoning, inferences, or causality, and decisions to humans relying on intuition; and for mutual context, how these machines may interdependently affect human awareness, teams and society, and how these "machines" may be affected in turn. In short, can context be mutually constructed and shared between machines and humans? The editors are interested in whether shared context follows when machines begin to think, or, like humans, develop subjective states that allow them to monitor and report on their interpretations of reality, forcing scientists to rethink the general model of human social behavior. If dependence on machine learning continues or grows, the public will also be interested in what happens to context shared by users, teams of humans and machines, or society when these machines malfunction. As scientists and engineers "think through this change in human terms," the ultimate goal is for AI to advance the performance of autonomous machines and teams of humans and machines for the betterment of society wherever these machines interact with humans or other machines. This book will be essential reading for professional, industrial, and military computer scientists and engineers; machine learning (ML) and artificial intelligence (AI) scientists and engineers, especially those engaged in research on autonomy, computational context, and human-machine shared contexts; advanced robotics scientists and engineers; scientists working with or interested in data issues for autonomous systems such as with the use of scarce data for training and operations with and without user interventions; social psychologists, scientists and physical research scientists pursuing models of shared context; modelers of the internet of things (IOT); systems of systems scientists and engineers and economists; scientists and engineers working with agent-based models (ABMs); policy specialists concerned with the impact of AI and ML on society and civilization; network scientists and engineers; applied mathematicians (e.g., holon theory, information theory); computational linguists; and blockchain scientists and engineers. Discusses the foundations, metrics, and applications of human-machine systems Considers advances and challenges in the performance of autonomous machines and teams of humans Debates theoretical human-machine ecosystem models and what happens when machines malfunction
The Human Machine Team How To Create Synergy Between Human And Artificial Intelligence That Will Revolutionize Our World
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Author : Brigadier Y.S
language : en
Publisher:
Release Date : 2021-05-05
The Human Machine Team How To Create Synergy Between Human And Artificial Intelligence That Will Revolutionize Our World written by Brigadier Y.S and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-05 with categories.
One of the world's leading managers in the field of Artificial Intelligence unveils the secrets to creating synergy between human and artificial intelligence that will revolutionize our world. Today, we are merely at the threshold of the acceleration of the Digital Era. But what will happen in the coming years, when artificial intelligence (AI) is going to dramatically change the world? A machine can use big data to generate information better than humans. However, a machine can't understand context, doesn't have feelings or ethics, and can't think 'out of the box'. Therefore, rather than prioritize between humans and machines, we should create The Human-Machine Team, which will combine human intelligence and artificial intelligence, creating a 'super cognition'. Brigadier General Y.S, an expert analyst, technology director, commander of an elite intelligence unit, and winner of the prestigious Israel Defense Prize for his artificial intelligence based anti-terrorism project, wrote his book, The Human-Machine Team, to address how the combination between human and artificial intelligence can solve national security challenges and threats, lead to victory in war, and be a growth engine for humankind. He offers a new perspective on how to lead nations and organizations to the future that has already become the present.