Download or read book AI Oriented Competency Framework for Talent Management in the Digital Economy written by Alex Khang and published by CRC Press. This book was released on 2024-05-29 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the digital-driven economy era, an AI-oriented competency framework (AIoCF) is a collection to identify AI-oriented knowledge, attributes, efforts, skills, and experiences (AKASE) that directly and positively affect the success of employees and the organization. The application of skills-based competency analytics and AI-equipped systems is gradually becoming accepted by business and production organizations as an effective tool for automating several managerial activities consistently and efficiently in developing and moving the capacity of a company up to a world-class level. AI-Oriented Competency Framework for Talent Management in the Digital Economy: Models, Technologies, Applications, and Implementation discusses all the points of an AIoCF, which includes predictive analytics, advisory services, predictive maintenance, and automated processes, which help to make the operations of project management, personnel management, or administration more efficient, profitable, and safe. The book includes the functionality of emerging career pathways, hybrid learning models, and learning paths related to the learning and development of employees in the production or delivery fields. It also presents the relationship between skills taxonomy and competency framework with interactive methods using datasets, processing workflow diagrams, and architectural diagrams for easy understanding of the application of intelligent functions in role-based competency systems. By also covering upcoming areas of AI and data science in many government and private organizations, the book not only focuses on managing big data and cloud resources of the talent management system but also provides cybersecurity techniques to ensure that systems and employee competency data are secure. This book targets a mixed audience of students, engineers, scholars, researchers, academics, and professionals who are learning, researching, and working in the field of workforce training, human resources, talent management systems, requirement, headhunting, outsourcing, and manpower consultant services from different cultures and industries in the era of digital economy.

Download or read book Revolutionizing the AI Digital Landscape written by Alex Khang and published by CRC Press. This book was released on 2024-06-07 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates the growing influence of artificial intelligence in the marketing sphere, providing insights into how AI can be harnessed for developing more effective and efficient marketing strategies. In addition, the book will also offer a comprehensive overview of the various digital marketing tools available to entrepreneurs, discussing their features, benefits, and potential drawbacks. This will help entrepreneurs make well-informed decisions when selecting the tools most suited to their needs and objectives. It is designed to help entrepreneurs develop and implement successful strategies, leveraging the latest tools and technologies to achieve their business goals. As the digital landscape continues to evolve rapidly, this book aims to serve as a valuable resource for entrepreneurs looking to stay ahead of the curve and capitalize on new opportunities. The book's scope encompasses a wide range of topics, including customer experience, content marketing, AI strategy, and digital marketing tools.

Download or read book Machine Vision and Industrial Robotics in Manufacturing written by Alex Khang and published by CRC Press. This book was released on 2024-07-29 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the basics of machine vision and robotics in the manufacturing industry. Major applicability of intelligent machines and robotics in the manufacturing sector are explored in three major areas of product traceability, remote product-monitoring, supply chain, logistics, and product record management. Machine Vision and Industrial Robotics in Manufacturing: Approaches, Technologies, and Applications explains advanced technologies based on Artificial Intelligence and Industrial Internet of Things related to smart manufacturing applications. The book introduces the emerging machines and robotics applications that are enabling smart factories initiatives worldwide. The chapters examine labor productivity, factory device installation, and defective product detection. The authors share modern models, emerging technologies, designs, frameworks, theories, practices, and sustainable approaches to design and implement machine vision with industrial robotics. They also examine the challenging issues associated with the leveraging of technologies related to machine vision, computer vision, robotics, Internet of Things, Industrial Internet of Things technologies, Artificial Intelligence-equipped machines, applications, and automatic techniques for intelligent manufacturing systems and smart factory infrastructure in the era of Industry 4.0 manufacturing. The authors also examine topics such as the role of existing management and production solutions, their limitations, and future directions in manufacturing industry. This book targets a mixed audience of students, engineers, scholars, researchers, academics, and professionals who are learning, researching, and working in the field of machine vision, Artificial Intelligence, Industrial Internet of Things, computer vision, and robotic technologies from different industries and economics.

Download or read book Advanced IoT Technologies and Applications in the Industry 4 0 Digital Economy written by Alex Khang and published by CRC Press. This book was released on 2024-02-27 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of internet of things (IoT) technologies and artificial intelligence (AI)-enabled IoT solutions has gradually become accepted by business and production organizations as an effective tool for automating several activities effectively and efficiently and developing and distributing products to the global market. Within this book, the reader will learn how to implement IoT devices, IoT-equipped machines, and AI-equipped IoT applications using models and methodologies along with an array of case studies. Advanced IoT Technologies and Applications in the Industry 4.0 Digital Economy covers the basics of IoT-equipped machines in developing and managing various activities in many industries. It discusses all of the key points of an AI-enabled IoT solution, which includes predictive analytics, robotic process automation, predictive maintenance, automated processes, IoT technologies and IoT-equipped sensors related to machines and processes, production testing systems, and product assessment processes in the production environment. The book presents the concepts and interactive methods using datasets, processing workflow charts, and architectural diagrams along with additional real-time systems for easy and fast understanding of the application of IoT-equipped machines and AI-enabled solutions in organizations and includes many case studies throughout the book to enforce reader comprehension. This book is an ideal read for industry specialists, practitioners, researchers, scientists, and engineers working or involved in the fields of Robotics, IT, Computer Science, Soft Computing, IoT, AL/ML/DL, Data Science, the Semantic Web, Knowledge Engineering, and other related fields.

Download or read book Data Driven Modelling and Predictive Analytics in Business and Finance written by Alex Khang and published by CRC Press. This book was released on 2024-07-24 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge, and so is developing explainable AI (XAI) to make data-driven transactions transparent. Data- Driven Modelling and Predictive Analytics in Business and Finance covers the need for intelligent business solutions and applications. Explaining how business applications use algorithms and models to bring out the desired results, the book covers: Data-driven modelling Predictive analytics Data analytics and visualization tools AI-aided applications Cybersecurity techniques Cloud computing IoT-enabled systems for developing smart financial systems This book was written for business analysts, financial analysts, scholars, researchers, academics, professionals, and students so they may be able to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices.

Download or read book Designing Workforce Management Systems for Industry 4 0 written by Alex Khang and published by CRC Press. This book was released on 2023-08-17 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings insight to the HR management system and offers data-centric approaches and AI-enabled applications for the design and implementation strategies used for workforce development and management. Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approaches focuses on the mechanisms of proposing solutions along with architectural concepts, design principles, smart solutions, and intelligent predictions with visualization simulation. Data visualization for the metrics of management systems and robotic process automation applications and tools are also offered. This book is also useful as a reference for those involved in AI-enabled applications, data analytics, data visualization, as well as systems engineering and systems designing.

Download or read book AI Aided IoT Technologies and Applications for Smart Business and Production written by Alex Khang and published by CRC Press. This book was released on 2023-12-01 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the need for Internet of Things (IoT) technologies and artificial intelligence (AI)–aided IoT solutions for business and production. It shows how IoT-based technology uses algorithms and AI models to bring out the desired results. AI-Aided IoT Technologies and Applications for Smart Business and Production shows how a variety of IoT technologies can be used toward integrating data fabric solutions and how intelligent applications can be used to greater effect in business and production operations. The book also covers the integration of IoT data-driven financial technology (fintech) applications to fulfill the goals of trusted AI-aided IoT solutions. Next, the authors show how IoT-based technology uses algorithms and AI models to bring out the desired results across various industries including smart cities, buildings, hospitals, hotels, homes, factories, agriculture, transportation, and more. The last part focuses on AI-aided IoT techniques, data analytics, and visualization tools. This book targets a mixed audience of specialists, analysts, engineers, scholars, researchers, academics, and professionals. It will be useful to engineering officers, IoT and AI engineers, engineering and industrial management students, and research scholars looking for new ideas, methodologies, technologies, models, frameworks, theories, and practices to resolve the challenging issues associated with leveraging IoT technologies, data-driven analytics, AI-aided models, IoT cybersecurity, 5G, sensors, and augmented and virtual reality techniques for developing smart systems in the era of Industrial Revolution 4.0.

Download or read book AI Centric Modeling and Analytics written by Alex Khang and published by CRC Press. This book was released on 2023-12-06 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shares new methodologies, technologies, and practices for resolving issues associated with leveraging AI-centric modeling, data analytics, machine learning-aided models, Internet of Things-driven applications, and cybersecurity techniques in the era of Industrial Revolution 4.0. AI-Centric Modeling and Analytics: Concepts, Technologies, and Applications focuses on how to implement solutions using models and techniques to gain insights, predict outcomes, and make informed decisions. This book presents advanced AI-centric modeling and analysis techniques that facilitate data analytics and learning in various applications. It offers fundamental concepts of advanced techniques, technologies, and tools along with the concept of real-time analysis systems. It also includes AI-centric approaches for the overall innovation, development, and implementation of business development and management systems along with a discussion of AI-centric robotic process automation systems that are useful in many government and private industries. This reference book targets a mixed audience of engineers and business analysts, researchers, professionals, and students from various fields.

Download or read book Computer Vision and AI Integrated IoT Technologies in the Medical Ecosystem written by Alex Khang and published by CRC Press. This book was released on 2024-03-29 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines computer vision and IoT-integrated technologies used by medical professionals in decision-making, for sustainable development in a healthcare ecosystem, and to better serve patients and stakeholders. It looks at the methodologies, technologies, models, frameworks, and practices necessary to resolve the challenging issues associated with leveraging the emerging technologies driving the medical field. The chapters discuss machine vision, AI-driven computer vision, machine learning, deep learning, AI-integrated IoT technology, data science, blockchain, AR/VR technology, cloud data, and cybersecurity techniques in designing and implementing a smart healthcare infrastructure in the era of the Industrial Revolution 4.0. Techniques are applied to the detection, diagnosis, and monitoring of a wide range of health issues. Computer Vision and AI-Integrated IoT Technologies in the Medical Ecosystem targets a mixed audience of students, engineers, researchers, academics, and professionals who are researching and working in the field of medical and healthcare industries from different environments and countries.

Download or read book Digital Talent Management written by Sorin Dan and published by Springer Nature. This book was released on 2021-07-23 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the importance of talent management practices in recruiting, developing and retaining talented professionals in the digital and IT&C industry. It unpacks the distinctive characteristics of ‘digital talent’ represented by a wide spectrum of professionals and managers with digital abilities, competencies and skills who add considerable value to organizations and industries worldwide. It shows that despite digital talent’s increased variety and significant contribution to digital transformation processes, much of the existing human resource and talent management research and practice fail to account for their distinctiveness. This book calls for the need for a new kind of talent management, referred to as ‘digital talent management’ (DTM) that is applicable to digital talent and decidedly integrates digital talent’s distinctive characteristics into talent management strategies and practices in a human-centered manner. Drawing upon existing, yet disconnected, streams of literature and empirical evidence derived from the information technology and communication (IT&C) industry, this book defines digital talent and delineates strategies to attract, develop and retain them for an uncertain and renewed future.

Download or read book Capabilities for Talent Development written by Pat Galagan and published by Association for Talent Development. This book was released on 2019-12-18 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Talent Development Professionals Should Know and Do to Be Successful The talent development field is deep and wide, encompassing the efforts that foster learning and employee development to drive organizational performance, productivity, and results. Major societal forces and business changes require talent development professionals across all industries to adopt new approaches and upgrade skills to keep pace and grow. Capabilities for Talent Development presents the new ATD Capability Model, a powerful framework to guide the profession in what practitioners need to know and do to develop themselves, others, and their organizations. ATD’s research shows that the future of work will require talent development professionals to leverage interpersonal skills, along with their professional expertise, to work as a true business partner to achieve organizational goals. As organizations respond to trends in business, science, and technology—such as artificial intelligence and automation, brain-based learning, new ways to enlist skilled talent brought on by the gig economy, and other factors—professionals must develop their knowledge and skills from three domains of practice: Building Personal Capability Developing Professional Capability Impacting Organizational Capability Capabilities for Talent Development offers an in-depth look at the Model and its components, drawing from the research behind it. Inside are application tips for individuals, educators, and organizations, as well as examples and interviews with thought leaders that describe an exciting future ahead for the talent development field. The ATD Capability Model is future-oriented and can help you personalize your development needs. Grow your career as you grow your knowledge and skills in talent development.

Download or read book AI in Talent Development written by Margie Meacham and published by Association for Talent Development. This book was released on 2020-12-15 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: Creating Transparent AI From agriculture to transportation, entertainment to medicine, and banking to social media, artificial intelligence (AI) is changing how humans do practically everything. We experience AI in our daily lives through our fitness trackers, home digital assistant systems, and curated news services, to name a few examples. For talent development, this is no different. The fields of artificial intelligence and talent development have been on a collision course for decades, and their convergence has already occurred. It has just taken many in our profession some time to recognize this fact. On the horizon, AI-powered innovations are transforming the workplace and the role of the talent development professional, affecting recruiting to training to compensation. As such, there are actions TD professionals should take now to prepare ourselves and our organizations for the evolving AI revolution. In AI in Talent Development, Margie Meacham describes the benefits, uses, and risks of AI technology and offers practical tools to strengthen and enhance learning and performance programs. In layman’s terms, Meacham demonstrates how we can free time for ourselves by employing a useful robot “assistant,” create a chatbot for specific tasks (such as a new manager bot, a sales coach bot, or new employee onboarding bot), and build personalized coaching tools from AI-processed big data. She concludes each of the six chapters with helpful tips and includes a resource guide with planning tools, templates, and worksheets. Meacham dispels fear of AI’s black box—the term used to describe its unknowability and opacity—and points out ways AI can help us be better at creativity and critical thinking, what we humans do best.

Download or read book Strategic Human Resource Development in Practice written by Lyle Yorks and published by Springer. This book was released on 2023-07-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines human resource development (HRD) strategy as a learning process, connecting learning and adult development with organizational development and change, and talent development, with a particular focus on the use of artificial intelligence (AI). It provides professionals and practitioners as well as students with processes and tools that will help them meet the needs of employees and the organization. It takes a scholar-practitioner perspective connecting theory with practice. HRD has evolved into a mature field of scholarship in recent decades. At the same time, practices of learning and development in organizations continues to evolve dramatically. At the individual, developmental, and organizational levels, workers, managers, and executives have to be continually learning from current and emerging trends in order to strategically reposition themselves for performance and future possibilities. This includes developing the competencies to navigate the complexities of a world in which people are interacting with ‘smart’ digital technologies that are broadly grouped together under the umbrella term artificial intelligence (AI). Featuring specific strategic learning methods and case studies from senior HRD professionals, this book is a valuable resource for managers, practitioners, students, scholars and others interested in strategic HRD practice.

Download or read book Strategy Driven Talent Management written by Rob Silzer and published by John Wiley & Sons. This book was released on 2009-11-23 with total page 934 pages. Available in PDF, EPUB and Kindle. Book excerpt: Organizations today understand that superior talent can create competitive business advantage. Executives are working with human resource managers and talent professionals to significantly improve their organization's ability to attract, develop, deploy, and retain the talent needed to achieve the organization's strategies. Effective CEOs and senior leaders are realizing that strong talent resources are as critical to business success as financial resources. This book in the SIOP Professional Practice Series provides an up-to-date review and summary of current and leading-edge talent management practices in organizations. A comprehensive book, Strategy-Driven Talent Management brings together an outstanding group of leading practitioners who present state-of-the-art ideas, best practices, and guidance on how to recruit, select, assimilate, develop, and retain exceptional talent and integrate talent management efforts with organizational strategy. Written for human resource professionals, industrial-organizational psychologists, and corporate executives, this key resource is a clear must-read guide to the emerging field of strategic talent management. Strategy-Driven Talent Management shows how to build competitive advantage through an integrated and strategic talent management program summarizes what it takes to attract, develop, deploy, and retain the best talent for the strategic needs of an organization reviews critical issues such as managing talent in global organizations and measuring the effectiveness of talent management programs includes case examples and CEO interviews from leading-edge companies such as PepsiCo, Microsoft, Home Depot, Cargill, and Allstate, which reveal how each of these organizations drives talent management with their business strategies This essential must-have HR resource offers insight into the future of strategic talent management, an extensive annotated bibliography and suggestions for preparing the next generation of organizational leaders.

Download or read book Artificial Intelligence in Banking written by Introbooks and published by . This book was released on 2020-04-07 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: In these highly competitive times and with so many technological advancements, it is impossible for any industry to remain isolated and untouched by innovations. In this era of digital economy, the banking sector cannot exist and operate without the various digital tools offered by the ever new innovations happening in the field of Artificial Intelligence (AI) and its sub-set technologies. New technologies have enabled incredible progression in the finance industry. Artificial Intelligence (AI) and Machine Learning (ML) have provided the investors and customers with more innovative tools, new types of financial products and a new potential for growth.According to Cathy Bessant (the Chief Operations and Technology Officer, Bank of America), AI is not just a technology discussion. It is also a discussion about data and how it is used and protected. She says, "In a world focused on using AI in new ways, we're focused on using it wisely and responsibly."

Download or read book Understanding the impact of artificial intelligence on skills development written by UNESCO International Centre for Technical and Vocational Education and Training and published by UNESCO Publishing. This book was released on 2021-04-02 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Handbook of Nondestructive Evaluation 4 0 written by Norbert Meyendorf and published by Springer. This book was released on 2022-03-09 with total page 1263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook comprehensively covers the cutting-edge trends and techniques essential for the integration of nondestructive evaluation (NDE) into the changing face of the modern industrial landscape. In particular, it delves into the marriage of NDE with new techniques in e.g. data mining, cloud computing and autonomous operation, highlighting the potential for cyber-physical controlled production and discussing the myriad possible applications across many different industries. The Handbook of NDE 4.0 centers around the Internet of Things and Industry 4.0 – the next generation of industrial production encompassing all aspects of networking across all industrial areas. It discusses the adaptation of existing NDE techniques to emerging new technological areas, such as 3D printing, via the introduction of cyber systems into the inspection and maintenance processes. In addition, the handbook covers topics such as the management and processing of big data with respect to real-time monitoring of structural integrity and reliable inspection of individual components. Remote NDE to include competence not available on-site will be a potential technique to increase reliability of NDE inspections by integrating additional specialist inputs into the decision process by methods such as telepresence, thereby better leveraging the scarce resources of senior inspectors into industrial inspections at multiple sites. The handbook houses a wealth of essential information to help academics, industry professionals and entrepreneurs navigate through this burgeoning new field. The material in this handbook is presented with the intention of ultimately improving human safety through reliable inspections and dependable maintenance of critical infrastructure, while also enhancing business value through reduced downtime, affordable maintenance, and talent optimization.