Author: Ben Eubanks
Publisher: Kogan Page Publishers
ISBN: 1398604011
Category : Business & Economics
Languages : en
Pages : 273
Book Description
Artificial intelligence is changing the world of work. How can HR professionals understand the variety of opportunities AI has created for the HR function and how best to implement these in their organization? This book provides the answers. From using natural language processing to ensure job adverts are free from bias and gendered language to implementing chatbots to enhance the employee experience, artificial intelligence can add value throughout the work of HR professionals. Artificial Intelligence for HR demonstrates how to leverage this potential and use AI to improve efficiency and develop a talented and productive workforce. Outlining the current technology landscape as well as the latest AI developments, this book ensures that HR professionals fully understand what AI is and what it means for HR in practice. Alongside coverage of employee engagement and recruitment, this second edition features new material on applications of AI for virtual work, reskilling and data integrity. Packed with practical advice, research and new and updated case studies from global organizations including Uber, IBM and Unilever, the second edition of Artificial Intelligence for HR will equip HR professionals with the knowledge they need to improve people operational efficiencies, and allow AI solutions to become enhancements for driving business success.
Handbook of Research on Artificial Intelligence in Human Resource Management
Author: Strohmeier, Stefan
Publisher: Edward Elgar Publishing
ISBN: 1839107537
Category : Business & Economics
Languages : en
Pages : 416
Book Description
This cutting-edge Handbook offers a comprehensive introduction to the emerging research field of artificial intelligence (AI) in human resource management (HRM). Broadly mapping AI fields relevant for HR, it not only considers the more well-known areas of machine learning and natural language processing, but also lesser-known fields such as affective computing and robotic process automation.
Publisher: Edward Elgar Publishing
ISBN: 1839107537
Category : Business & Economics
Languages : en
Pages : 416
Book Description
This cutting-edge Handbook offers a comprehensive introduction to the emerging research field of artificial intelligence (AI) in human resource management (HRM). Broadly mapping AI fields relevant for HR, it not only considers the more well-known areas of machine learning and natural language processing, but also lesser-known fields such as affective computing and robotic process automation.
HR Without People?
Author: Anthony R. Wheeler
Publisher: Emerald Group Publishing
ISBN: 1801170371
Category : Business & Economics
Languages : en
Pages : 208
Book Description
HR Without People? is a stimulating and confrontational challenge to conventional thinking on this people-centric profession’s role in the future of work.
Publisher: Emerald Group Publishing
ISBN: 1801170371
Category : Business & Economics
Languages : en
Pages : 208
Book Description
HR Without People? is a stimulating and confrontational challenge to conventional thinking on this people-centric profession’s role in the future of work.
The New World of Human Resources and Employment
Author: Tony Miller
Publisher:
ISBN: 9781949443028
Category : Artificial intelligence
Languages : en
Pages : 0
Book Description
Cover -- The New World of Human Resources and Employment: How Artificial Intelligence and Process Redesign is Driving Dramatic Change -- Contents -- CHAPTER 1: What Is Artificial Intelligence and What Is Its Impact Going to Be? -- CHAPTER 2: Human Resources-On the Front Line for a Change -- CHAPTER 3: How AI and Process Redesign Will Impact on Organizational Structures and Reducing Headcount-Rightsizing Your Organization -- CHAPTER 4: Aligning HR Processes with AI-Productivity Measurement and Performance Appraisal -- CHAPTER 5: Automating Training Needs Analysis and Training Evaluation -- CHAPTER 6: Digital Footprints and How They Can be Used to Upgrade Recruitment and Succession Planning-The End of Testing? -- CHAPTER 7: Pay and Rewards -- CHAPTER 8: New Skills Needed to Manage This Massive Paradigm Shift from Traditional HR To Artificial Intelligence Focused HR -- CHAPTER 9: Useful Formula and the Productivity Dashboard -- References -- About the Author -- Index -- Ad Page -- Back Cover
Publisher:
ISBN: 9781949443028
Category : Artificial intelligence
Languages : en
Pages : 0
Book Description
Cover -- The New World of Human Resources and Employment: How Artificial Intelligence and Process Redesign is Driving Dramatic Change -- Contents -- CHAPTER 1: What Is Artificial Intelligence and What Is Its Impact Going to Be? -- CHAPTER 2: Human Resources-On the Front Line for a Change -- CHAPTER 3: How AI and Process Redesign Will Impact on Organizational Structures and Reducing Headcount-Rightsizing Your Organization -- CHAPTER 4: Aligning HR Processes with AI-Productivity Measurement and Performance Appraisal -- CHAPTER 5: Automating Training Needs Analysis and Training Evaluation -- CHAPTER 6: Digital Footprints and How They Can be Used to Upgrade Recruitment and Succession Planning-The End of Testing? -- CHAPTER 7: Pay and Rewards -- CHAPTER 8: New Skills Needed to Manage This Massive Paradigm Shift from Traditional HR To Artificial Intelligence Focused HR -- CHAPTER 9: Useful Formula and the Productivity Dashboard -- References -- About the Author -- Index -- Ad Page -- Back Cover
Handbook of Research on Innovative Management Using AI in Industry 5.0
Author: Garg, Vikas
Publisher: IGI Global
ISBN: 1799884996
Category : Business & Economics
Languages : en
Pages : 351
Book Description
There is no industry left where artificial intelligence is not used in some capacity. The application of this technology has already stretched across a multitude of domains including law and policy; it will soon permeate areas beyond anyone’s imagination. Technology giants such as Google, Apple, and Facebook are already investing their money, effort, and time toward integrating artificial intelligence. As this technology continues to develop and expand, it is critical for everyone to understand the various applications of artificial intelligence and its full potential. The Handbook of Research on Innovative Management Using AI in Industry 5.0 uncovers new and innovative features of artificial intelligence and how it can help in raising economic efficiency at both micro and macro levels and provides a deeper understanding of the relevant aspects of artificial intelligence impacting efficacy for better output. Covering topics such as consumer behavior, information technology, and personalized banking, it is an ideal resource for researchers, academicians, policymakers, business professionals, companies, and students.
Publisher: IGI Global
ISBN: 1799884996
Category : Business & Economics
Languages : en
Pages : 351
Book Description
There is no industry left where artificial intelligence is not used in some capacity. The application of this technology has already stretched across a multitude of domains including law and policy; it will soon permeate areas beyond anyone’s imagination. Technology giants such as Google, Apple, and Facebook are already investing their money, effort, and time toward integrating artificial intelligence. As this technology continues to develop and expand, it is critical for everyone to understand the various applications of artificial intelligence and its full potential. The Handbook of Research on Innovative Management Using AI in Industry 5.0 uncovers new and innovative features of artificial intelligence and how it can help in raising economic efficiency at both micro and macro levels and provides a deeper understanding of the relevant aspects of artificial intelligence impacting efficacy for better output. Covering topics such as consumer behavior, information technology, and personalized banking, it is an ideal resource for researchers, academicians, policymakers, business professionals, companies, and students.
Introducing HR Analytics with Machine Learning
Author: Christopher M. Rosett
Publisher: Springer Nature
ISBN: 3030676269
Category : Psychology
Languages : en
Pages : 266
Book Description
This book directly addresses the explosion of literature about leveraging analytics with employee data and how organizational psychologists and practitioners can harness new information to help guide positive change in the workplace. In order for today’s organizational psychologists to successfully work with their partners they must go beyond behavioral science into the realms of computing and business acumen. Similarly, today’s data scientists must appreciate the unique aspects of behavioral data and the special circumstances which surround HR data and HR systems. Finally, traditional HR professionals must become familiar with research methods, statistics, and data systems in order to collaborate with these new specialized partners and teams. Despite the increasing importance of this diversity of skill, many organizations are still unprepared to build teams with the comprehensive skills necessary to have high performing HR Analytics functions. And importantly, all these considerations are magnified by the introduction and acceleration of machine learning in HR. This book will serve as an introduction to these areas and provide guidance on building the connectivity across domains required to establish well-rounded skills for individuals and best practices for organizations when beginning to apply advanced analytics to workforce data. It will also introduce machine learning and where it fits within the larger HR Analytics framework by explaining many of its basic tenets and methodologies. By the end of the book, readers will understand the skills required to do advanced HR analytics well, as well as how to begin designing and applying machine learning within a larger human capital strategy.
Publisher: Springer Nature
ISBN: 3030676269
Category : Psychology
Languages : en
Pages : 266
Book Description
This book directly addresses the explosion of literature about leveraging analytics with employee data and how organizational psychologists and practitioners can harness new information to help guide positive change in the workplace. In order for today’s organizational psychologists to successfully work with their partners they must go beyond behavioral science into the realms of computing and business acumen. Similarly, today’s data scientists must appreciate the unique aspects of behavioral data and the special circumstances which surround HR data and HR systems. Finally, traditional HR professionals must become familiar with research methods, statistics, and data systems in order to collaborate with these new specialized partners and teams. Despite the increasing importance of this diversity of skill, many organizations are still unprepared to build teams with the comprehensive skills necessary to have high performing HR Analytics functions. And importantly, all these considerations are magnified by the introduction and acceleration of machine learning in HR. This book will serve as an introduction to these areas and provide guidance on building the connectivity across domains required to establish well-rounded skills for individuals and best practices for organizations when beginning to apply advanced analytics to workforce data. It will also introduce machine learning and where it fits within the larger HR Analytics framework by explaining many of its basic tenets and methodologies. By the end of the book, readers will understand the skills required to do advanced HR analytics well, as well as how to begin designing and applying machine learning within a larger human capital strategy.
Data-Driven HR
Author: Bernard Marr
Publisher: Kogan Page Publishers
ISBN: 0749482478
Category : Business & Economics
Languages : en
Pages : 265
Book Description
FINALIST: Business Book Awards 2019 - HR and Management Category Traditionally seen as a purely people function unconcerned with numbers, HR is now uniquely placed to use company data to drive performance, both of the people in the organization and the organization as a whole. Data-Driven HR is a practical guide which enables HR professionals to leverage the value of the vast amount of data available at their fingertips. Covering how to identify the most useful sources of data, collect information in a transparent way that is in line with data protection requirements and turn this data into tangible insights, this book marks a turning point for the HR profession. Covering all the key elements of HR including recruitment, employee engagement, performance management, wellbeing and training, Data-Driven HR examines the ways data can contribute to organizational success by, among other things, optimizing processes, driving performance and improving HR decision making. Packed with case studies and real-life examples, this is essential reading for all HR professionals looking to make a measurable difference in their organizations.
Publisher: Kogan Page Publishers
ISBN: 0749482478
Category : Business & Economics
Languages : en
Pages : 265
Book Description
FINALIST: Business Book Awards 2019 - HR and Management Category Traditionally seen as a purely people function unconcerned with numbers, HR is now uniquely placed to use company data to drive performance, both of the people in the organization and the organization as a whole. Data-Driven HR is a practical guide which enables HR professionals to leverage the value of the vast amount of data available at their fingertips. Covering how to identify the most useful sources of data, collect information in a transparent way that is in line with data protection requirements and turn this data into tangible insights, this book marks a turning point for the HR profession. Covering all the key elements of HR including recruitment, employee engagement, performance management, wellbeing and training, Data-Driven HR examines the ways data can contribute to organizational success by, among other things, optimizing processes, driving performance and improving HR decision making. Packed with case studies and real-life examples, this is essential reading for all HR professionals looking to make a measurable difference in their organizations.
Artificial Dreams
Author: H. R. Ekbia
Publisher: Cambridge University Press
ISBN: 9780521703390
Category : Psychology
Languages : en
Pages : 0
Book Description
This book is a critique of Artificial Intelligence (AI) from the perspective of cognitive science - it seeks to examine what we have learned about human cognition from AI successes and failures. The book's goal is to separate those "AI dreams" that either have been or could be realized from those that are constructed through discourse and are unrealizable. AI research has advanced many areas that are intellectually compelling and holds great promise for advances in science, engineering, and practical systems. After the 1980s, however, the field has often struggled to deliver widely on these promises. This book breaks new ground by analyzing how some of the driving dreams of people practicing AI research become valued contributions, while others devolve into unrealized and unrealizable projects.
Publisher: Cambridge University Press
ISBN: 9780521703390
Category : Psychology
Languages : en
Pages : 0
Book Description
This book is a critique of Artificial Intelligence (AI) from the perspective of cognitive science - it seeks to examine what we have learned about human cognition from AI successes and failures. The book's goal is to separate those "AI dreams" that either have been or could be realized from those that are constructed through discourse and are unrealizable. AI research has advanced many areas that are intellectually compelling and holds great promise for advances in science, engineering, and practical systems. After the 1980s, however, the field has often struggled to deliver widely on these promises. This book breaks new ground by analyzing how some of the driving dreams of people practicing AI research become valued contributions, while others devolve into unrealized and unrealizable projects.
AI for the Good
Author: Stefan H. Vieweg
Publisher: Springer Nature
ISBN: 3030669130
Category : Business & Economics
Languages : en
Pages : 259
Book Description
While technology advances at a high pace in the age of machine learning, there is a lack of clear intent and framing of acceptable ethical standards. This book brings together the complex topic of "good" technology in a cross-functional way, alternating between theory and practice.The authors address the ever-expanding discussion on Artificial Intelligence (AI) and ethics by providing an orientation. Pragmatic and recent issues are especially taken into account such as the collateral effects of the COVID19 pandemic. An up-to-date overview of digitization - already a very broad field in itself - is presented along with an analysis of the approaches of AI from an ethical perspective. Furthermore, concrete approaches to consider appropriate ethical principles in AI-based solutions are offered. The book will be appealing to academics, from humanities or business or technical disciplines, as well as practitioners who are looking for an introduction to the topic and an orientation with concrete questions and assistance.
Publisher: Springer Nature
ISBN: 3030669130
Category : Business & Economics
Languages : en
Pages : 259
Book Description
While technology advances at a high pace in the age of machine learning, there is a lack of clear intent and framing of acceptable ethical standards. This book brings together the complex topic of "good" technology in a cross-functional way, alternating between theory and practice.The authors address the ever-expanding discussion on Artificial Intelligence (AI) and ethics by providing an orientation. Pragmatic and recent issues are especially taken into account such as the collateral effects of the COVID19 pandemic. An up-to-date overview of digitization - already a very broad field in itself - is presented along with an analysis of the approaches of AI from an ethical perspective. Furthermore, concrete approaches to consider appropriate ethical principles in AI-based solutions are offered. The book will be appealing to academics, from humanities or business or technical disciplines, as well as practitioners who are looking for an introduction to the topic and an orientation with concrete questions and assistance.
Transforming Management Using Artificial Intelligence Techniques
Author: Vikas Garg
Publisher: CRC Press
ISBN: 1000209946
Category : Computers
Languages : en
Pages : 215
Book Description
Transforming Management Using Artificial Intelligence Techniques redefines management practices using artificial intelligence (AI) by providing a new approach. It offers a detailed, well-illustrated treatment of each topic with examples and case studies, and brings the exciting field to life by presenting a substantial and robust introduction to AI in a clear and concise manner. It provides a deeper understanding of how the relevant aspects of AI impact each other’s efficacy for better output. It’s a reliable and accessible one-step resource that introduces AI; presents a full examination of applications; provides an understanding of the foundations; examines education powered by AI, entertainment, home and service robots, healthcare re-imagined, predictive policing, space exploration; and so much more, all within the realm of AI. This book will feature: Uncovering new and innovative features of AI and how it can help in raising economic efficiency at both micro- and macro levels Both the literature and practical aspects of AI and its uses This book summarizing key concepts at the end of each chapter to assist reader comprehension Case studies of tried and tested approaches to resolutions of typical problems Ideal for both teaching and general-knowledge purposes. This book will also simply provide the topic of AI for the readers, aspiring researchers and practitioners involved in management and computer science, so they can obtain a high-level of understanding of AI and managerial applications.
Publisher: CRC Press
ISBN: 1000209946
Category : Computers
Languages : en
Pages : 215
Book Description
Transforming Management Using Artificial Intelligence Techniques redefines management practices using artificial intelligence (AI) by providing a new approach. It offers a detailed, well-illustrated treatment of each topic with examples and case studies, and brings the exciting field to life by presenting a substantial and robust introduction to AI in a clear and concise manner. It provides a deeper understanding of how the relevant aspects of AI impact each other’s efficacy for better output. It’s a reliable and accessible one-step resource that introduces AI; presents a full examination of applications; provides an understanding of the foundations; examines education powered by AI, entertainment, home and service robots, healthcare re-imagined, predictive policing, space exploration; and so much more, all within the realm of AI. This book will feature: Uncovering new and innovative features of AI and how it can help in raising economic efficiency at both micro- and macro levels Both the literature and practical aspects of AI and its uses This book summarizing key concepts at the end of each chapter to assist reader comprehension Case studies of tried and tested approaches to resolutions of typical problems Ideal for both teaching and general-knowledge purposes. This book will also simply provide the topic of AI for the readers, aspiring researchers and practitioners involved in management and computer science, so they can obtain a high-level of understanding of AI and managerial applications.