Learning management technology, either as part of a larger HCM software suite or as a standalone niche solution, has evolved from its classroom-based, instructor-led origins. Modern systems deliver information the way many employees learn best, through informal social learning that is personalized and engaging. Some of these new, often mobile-enabled approaches deliver education via short (three to five minute) on-demand videos that are tailored to an individual’s specific job responsibilities or interests and increasingly involve artificial intelligence (AI) technology. AI’s role in this context is to better personalize learning content, modality and the pace of learning. In short, this is all about delivering learning the way each person learns best.
Topics: digital technology, Machine Learning and Cognitive Computing, Human Capital Management, HRMS, Learning Management, Work and Resource Management, Workforce Management, employee experience, Artificial intelligence, Chatbots, Personalization, Predictive HCM
Over the last two years, investments in digital technologies such as artificial intelligence (AI) by nearly every major provider of HCM systems and tools have transformed the HR technology landscape. Many of the investments have gone into developing distinctive product capabilities, particularly capabilities that rely on machine learning technology.
Topics: digital technology, Machine Learning and Cognitive Computing, Human Capital Management, HRMS, Learning Management, Payroll Optimization, Total Compensation Management, Work and Resource Management, Workforce Management, employee experience
Employee engagement has been a dominant theme in both human capital management (HCM) and the systems to manage it in recent years; lately (though not necessarily appropriately) it is a topic often equated with the notion of the employee experience. On a related point, Gallup’s annual employee engagement survey has consistently found the majority of today’s workforce to be disengaged, defined as “not enthusiastic or passionate about their work.” Interest in the degree to which HCM technology can improve employee engagement (or mitigate disengagement) now rivals the attention given to such perennial chief human resources officer (CHRO) concerns as attracting and retaining top talent and retooling the workforce.
Topics: Analytics, Business Intelligence, Cloud Computing, Collaboration, data science, Big Data, Machine Learning, Workforce Optimization, digital technology, Human Capital Management, HRMS, Learning Management, Workforce Management
I’m thrilled to announce to my HCM vendor and practitioner network as well as the ever-expanding Ventana Research community that I’m now directing Ventana’s HCM practice. I will be working closely with our CEO and Chief Research Officer Mark Smith, who is a fellow HCM enthusiast and thought leader.
Topics: Analytics, Cloud Computing, Collaboration, data science, Internet of Things, Mobile, Big Data, Machine Learning, Customer Digital Technology, Human Capital Management, HRMS, Learning Management, Payroll Optimization, Workforce Management
Compensation and the processes and systems to support it are at the center of success in every organization, as I have noted recently. In our view, an investment in total compensation management software is a strategic step toward advancing human capital management. Our benchmark research on this topic found some progress in attitudes about modernizing compensation practices. Almost three-fourths (72%) of organizations said that it is important or very important to have a total compensation management system rather than a piecemeal approach. Moreover, nearly half (49%) told us they are confident or very confident that their organization currently manages its compensation processes effectively.