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.
Author: Paul R. Daugherty
Publisher: Harvard Business Press
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.
David Foster veranschaulicht die Funktionsweise jeder Methode, beginnend mit den Grundlagen des Deep Learning mit Keras, bevor er zu einigen der modernsten Algorithmen auf diesem Gebiet vorstößt.
Author: David Foster
Generative Modelle haben sich zu einem der spannendsten Themenbereiche der Künstlichen Intelligenz entwickelt: Mit generativem Deep Learning ist es inzwischen möglich, einer Maschine das Malen, Schreiben oder auch das Komponieren von Musik beizubringen - kreative Fähigkeiten, die bisher dem Menschen vorbehalten waren. Mit diesem praxisnahen Buch können Data Scientists einige der eindrucksvollsten generativen Deep-Learning-Modelle nachbilden wie z.B. Generative Adversarial Networks (GANs), Variational Autoencoder (VAEs), Encoder-Decoder- sowie World-Modelle. David Foster veranschaulicht die Funktionsweise jeder Methode, beginnend mit den Grundlagen des Deep Learning mit Keras, bevor er zu einigen der modernsten Algorithmen auf diesem Gebiet vorstößt. Die zahlreichen praktischen Beispiele und Tipps helfen dem Leser herauszufinden, wie seine Modelle noch effizienter lernen und noch kreativer werden können.
6 Conclusion Multi-domain scenarios, where humans and multiple smart machines collaborate adaptively towards common objectives, will soon become an ... Daugherty, P.R., Wilson, J.H.: Human + Machine: Reimagining Work in the Age of AI.
Author: Yaxin Bi
Publisher: Springer Nature
Category: Technology & Engineering
The book presents a remarkable collection of chapters covering a wide range of topics in the areas of intelligent systems and artificial intelligence, and their real-world applications. It gathers the proceedings of the Intelligent Systems Conference 2019, which attracted a total of 546 submissions from pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-review process, after which 190 were selected for inclusion in these proceedings. As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have made it possible to tackle a host of problems more effectively. This branching out of computational intelligence in several directions and use of intelligent systems in everyday applications have created the need for an international conference as a venue for reporting on the latest innovations and trends. This book collects both theory and application based chapters on virtually all aspects of artificial intelligence; presenting state-of-the-art intelligent methods and techniques for solving real-world problems, along with a vision for future research, it represents a unique and valuable asset.
Author: Montaha BouezzeddinePublish On: 2022-04-20
An alternative perspective has however been present by Daugherty and Wilson  in their book Human + Machine: Reimagining Work in the Age of AI. They argue that the above debate has been constructed around a separate focus on either ...
Author: Montaha Bouezzeddine
Publisher: BoD – Books on Demand
Insights Into Global Engineering Education After the Birth of Industry 5.0 presents a comprehensive overview of recent developments in the fields of engineering and technology. The book comprises single chapters authored by various researchers and edited by an expert active in the engineering education research area. It provides a thorough overview of the latest research efforts by international authors on engineering education and opens potential new research paths for further novel developments.
Guide to Successful Human-machine Collaboration Andreas Moring ... Reimagining Work in the age of AI, Harvard 2018 Deloitte (Hrsg.): State of AI in the Enterprise, Düsseldorf 2020 Doherty, Conor; Camina, Steven; White, Kevin; Orenstein, ...
Author: Bertrand BraunschweigPublish On: 2021-02-06
Oppenheimer, A.: The Robots are Coming: The Future of Jobs in the Age of Automation. Vintage, New York (2019) 14. Daughtery, P., James, W.H.: Human + Machine: Reimagining Work in the Age of AI. Harvard Business Review Press, ...
Author: Bertrand Braunschweig
Publisher: Springer Nature
We already observe the positive effects of AI in almost every field, and foresee its potential to help address our sustainable development goals and the urgent challenges for the preservation of the environment. We also perceive that the risks related to the safety, security, confidentiality, and fairness of AI systems, the threats to free will of possibly manipulative systems, as well as the impact of AI on the economy, employment, human rights, equality, diversity, inclusion, and social cohesion need to be better assessed. The development and use of AI must be guided by principles of social cohesion, environmental sustainability, resource sharing, and inclusion. It has to integrate human rights, and social, cultural, and ethical values of democracy. It requires continued education and training as well as continual assessment of its effects through social deliberation. The “Reflections on AI for Humanity” proposed in this book develop the following issues and sketch approaches for addressing them: How can we ensure the security requirements of critical applications and the safety and confidentiality of data communication and processing? What techniques and regulations for the validation, certification, and audit of AI tools are needed to develop confidence in AI? How can we identify and overcome biases in algorithms? How do we design systems that respect essential human values, ensuring moral equality and inclusion? What kinds of governance mechanisms are needed for personal data, metadata, and aggregated data at various levels? What are the effects of AI and automation on the transformation and social division of labor? What are the impacts on economic structures? What proactive and accommodation measures will be required? How will people benefit from decision support systems and personal digital assistants without the risk of manipulation? How do we design transparent and intelligible procedures and ensure that their functions reflect our values and criteria? How can we anticipate failure and restore human control over an AI system when it operates outside its intended scope? How can we devote a substantial part of our research and development resources to the major challenges of our time such as climate, environment, health, and education?
Paul R. Daugherty and H. James Wilson , working for the consulting company Accenture , make the case in their new book , Human + Machine : Reimagining Work in the Age of AI , and in a related article in the Harvard Business Review .
Author: Henri Schildt
Publisher: Oxford University Press
Category: Business & Economics
Companies across all industries are engaging in digital transformation to harness the power of advanced information technologies. Building on interviews and diverse case studies, this book provides an in-depth look at how data and algorithms are reshaping management practices, organizational structures, corporate culture, and work roles. Henri Schildt develops a broad framework for understanding digitalization not as a technological change but as a new normative mind-set, here called 'the data imperative'. It describes the new managerial ideals that compel companies to pursue digital omniscience and omnipotence-abilities to represent and understand the world through real-time data flow and to control customer experiences, physical equipment, and workers with software. The efforts to complement and replace human expertise with data and smart algorithms are associated with shifts in strategic priorities, adoption of powerful modular architectures, new organizational structures, and the introduction of artificial intelligence into diverse work roles. Surveying the developments in management and the workplace, this book offers an integrative and balanced account of the on-going changes that will continue to affect everyone from executives and professionals to front-line workers.
Daugherty, P.R., James Wilson, H.: Human + Machine: Reimagining Work in the Age of AI. Harvard Business Review Press, Boston (2018) 2. Veeramachaneni, K., Arnaldo, I., Korrapati, V., Bassias, C., Li, K.: AI2: training a big data machine ...
Author: Leonard Barolli
Publisher: Springer Nature
Category: Technology & Engineering
This proceedings book covers the theory, design and applications of computer networks, distributed computing and information systems. Today’s networks are evolving rapidly, and there are several developing areas and applications. These include heterogeneous networking supported by recent technological advances in power wireless communications, along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations, which is emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enables novel, low-cost and high-volume applications. However, implemeting these applications has sometimes been difficult due to interconnection problems. As such, different networks need to collaborate, and wired and next-generation wireless systems need to be integrated in order to develop high-performance computing solutions to address the problems arising from these networks’ complexities. This ebook presents the latest research findings, as well as theoretical and practical perspectives on the innovative methods and development techniques related to the emerging areas of information networking and applications
... (archived at https://perma.cc/V3CU-K7QV) 29 Daugherty, PR and Wilson, HJ (2018) Human + Machine: Reimagining work in the age of AI, Harvard Business Review Press 30 https://hbr.org/2019/10/what-do-we-do-about-the-biases-in-ai?
Author: Peter Cheese
Publisher: Kogan Page Publishers
Category: Business & Economics
The world of work has changed forever. There's no going back. But how can HR professionals and business leaders adapt? How can they deal with both the wellbeing and productivity crisis? What does this mean for organization and job design? What should be done to address the skills gap? How can they build a responsible, trustworthy, purpose-driven organization that the workforce wants? This book has the answer. Written by a leading voice in the people profession, The New World of Work takes an evidence-based approach to provide practical advice on how the business and employees can succeed. It covers how to combat stalling productivity, poor wellbeing and the increase in mental health issues in the workplace as well as the need for agile learning, ways to close the skills gap and a refreshingly realistic look at the impact of technology. There is also essential discussion of job design, flexible working, diversity and inclusion (D&I) and how to engage both an ageing workforce and new Gen Z recruits. This book also includes guidance on how to build a business which is responsible, trustworthy and transparent, is based on the principles of 'good work' and is one that employees are proud to work for. With global examples and case studies from private and public sector organizations, The New World of Work is the book that HR and business professionals need to seize the opportunity and allow both the business and its people to succeed.
Wilson argue in Human + Machine: Reimagining Work in the Age of AI: 'In the current era of business process improvement AI systems are not replacing us; they are amplifying our skills and collaborating with us to achieve performance ...
Author: Anthony Elliott
Publisher: John Wiley & Sons
Industrial robots, self-driving cars, customer-service chatbots and Google’s algorithmic predictions have brought the topic of artificial intelligence into public debate. Why is AI the source of such intense controversy and what are its economic, political, social and cultural consequences? Tracing the changing fortunes of artificial intelligence, Elliott develops a systematic account of how automated intelligent machines impact different spheres and aspects of public and private life. Among the issues discussed are the automation of workforces, surveillance capitalism, warfare and lethal autonomous weapons, the spread of racist robots and the automation of social inequalities. Elliott also considers the decisive role of AI in confronting global risks and social futures, including global pandemics such as COVID-19, and how smart algorithms are impacting the search for energy security and combating climate change. Making Sense of AI provides a judiciously comprehensive account of artificial intelligence for those with little or no previous knowledge of the topic. It will be an invaluable book both for students in the social sciences and humanities and for general readers.