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.

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.

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.

Leonardo da Vinci is regarded as a genius, but if he were competing in today’s job market, he may never be hired. Today’s talent management system is broken, which is why organizations need a comprehensive roadmap that puts candidates first. Ashutosh Garg and Kamal Ahluwalia, the leaders of Eightfold.ai, a Silicon Valley-based company revolutionizing the talent management space, explore how to do it in this guide. They’ve combined insights from more than twenty experts to reveal ways to hire and keep top talent. They also share how Eightfold’s patented artificial intelligence-based platform empowers enterprises to turn talent management into a competitive advantage. Learn how to: • find candidates with the most relevant skills; • retain and promote a diverse workforce; and • drive innovation through the effective use of artificial intelligence. The authors—both with Silicon Valley experience—have witnessed employment attrition firsthand, which is why the set out to leverage AI technology and their experience building great teams to help people find meaningful work while reducing employee turnover. Whether you’re an HR executive, manager, business owner, or job candidate, this guide shares meaningful insights and solutions to solving the talent crisis.

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.