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.
Pursuing the Win-Win with Personalized Learning Experience
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
Today’s Payroll Management Software: Strategic Value Abounds
The early days of my career were spent in HR and payroll systems inside brokerage houses and investment banks. The first CHRO I reported to thought the best way to develop a plan for automating payroll management was for me to run the function’s day-to-day operations. I had no previous experience in payroll but it was a good call, as the trenches of any operations area typically reveal a cornucopia of automation opportunities. Then again, it was a different time; back then the words strategy, decision support and employee experience were rarely heard in a payroll department.
Topics: Digital Technology, Machine Learning and Cognitive Computing, Human Capital Management, HRMS, Payroll Optimization, Total Compensation Management, Work and Resource Management, Workforce Management, employee experience, Artificial intelligence, RPA, Chatbots, Personalization, Predictive HCM
In 2017 Strata + Hadoop World was changed to the Strata Data Conference. As I pointed out in my coverage of last year’s event, the focus was largely on machine learning and artificial intelligence (AI). That theme continued this year, but my impression of the event was of a community looking to get value out of data regardless of the technology being used to manage that data. The change was subtle: The location was the same; the exhibitors were largely the same; attendance was similar this year and last. But there was no particular vendor or technology dominating the event.
Topics: Analytics, Business Intelligence, Data Science, Big Data, Data Integration, Data Governance, Data Preparation, Information Optimization, Machine Learning, Digital Technology, Machine Learning and Cognitive Computing
AI Energizing HCM for Better Employee Experience
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
We now are well beyond the year depicted in 2001: A Space Odyssey, a cinematic perspective on the future of artificial intelligence in which HAL 9000, a computer, is able to simulate human behavior and control machines. Anyone reviewing the past two years of marketing around AI in the business technology industry can be forgiven for believing that we have arrived at the futuristic state Stanley Kubrick imagined. We have not.
Topics: Analytics, Business Intelligence, Cloud Computing, Collaboration, Data Science, Internet of Things, Mobile, Big Data, Data Integration, Data Governance, Data Preparation, Information Optimization, Machine Learning, Customer Experience, Billing and Recurring Revenue, Contact Center, Customer Analytics, Customer Engagement, Customer Service, Workforce Optimization, Digital Technology, collaboration for business, Cybersecurity, Machine Learning and Cognitive Computing, Mobile Technology
