COVID NEWS
- Roadmaps for Challenging Times: Preparing for Bumps By Katherine Jones, Ph.D., Independent Consultant
- The Scope and Impact of Web3 on HR Systems By John Macy and Dennis Hill, Ph.D., Consortium DeHR
- Using Agile Ways of Working to Tap into Employees’ Hidden Assets to Drive Improvements in Productivity, Engagement and Retention
AI / Predictive Analytics
From the Editor – by Roy Altman
Welcome to the 3rd quarter, 2021 issue of Workforce Solutions Review. For the last two years, it has been unavoidable not to have content focusing on managing the workforce through the pandemic. The theme of this issue is Artificial
AI 101 – A Primer in Artificial Intelligence – by Sergio Mastrogiovanni
Imagine this scene: you wake up, walk to the bathroom and while you brush your teeth, your intelligent mirror projects the news of the day, “reads” your eyes with a camera, and mentions what you should eat that day
Pinning Jello® to a Wall: Regulating AI – by John Sumser and Heather Bussing
The release of the European Union’s proposed regulation for AI started the conversation in earnest. AI (whatever that is) is creeping into every marketing pitch and every bit of commercial software. The consequences of badly wrought intelligent tools is
The Impossible Goal: Bias-Free AI
I was listening in on a need-finding call recently with one of our sales execs. The prospect wanted to know what we do to “eliminate” bias from our AI. My first thought was, is he serious? It turns out
AI in Performance Management: Gong Rings the Bell! – by Monica Lloyd and Bob Greene, Ascentis
For decades, while the theory of performance management has been studied, written about, and improved “on paper,” the actual process has made little progress. Most often, it is still largely a paper-based, period-bound procedure with inputs limited to subjective
The Art and Science of Predictive Analytics in HR – by Helen Friedman, Anna Marley and Wendy Hirsch
After creating predictive models for drivers of so many HR outcomes in the past 20+ years, there is one fundamental truth that has stood the test of time. The most actionable models require as much art as they do
Using Analytics to Solve the DEI Challenge – by Jeff Higgins
The Covid-19 pandemic brought major change and upheaval to work and personal lives. But another major change in 2020 and 2021 has been the increasing push to prioritize Diversity, Equity, and Inclusion (DEI) in the workplace. Diversity, Equity, and
Opinion: AI is Leading Humanity Toward Dystopia – by Roy Altman
Throughout history, humankind has constructed tools to make work easier and more productive, to make our lives better. AI is just another one of those tools, but is unique in history in that it’s an attempt to mimic the
While You Were Working at Home: Enter AI – by Katherine Jones, Ph.D.
Technology didn’t stand still in the pandemic: tech changes very likely occurred in your workplace while employees were working at home. Coupled with the day-to-day changes of the new hybrid workplace, HR professionals will need to be prepared to
AI and the Future of Talent Management – by Sergio Mastrogiovanni
Last year, COVID-19 pandemic showed the fragility of traditional industries. While some verticals like brick-and-mortar retail were challenged by the rise of a new digital consumer, others like the tech sector, have grown more than ever, with their stocks
Elevating Employee Care with AI Based Virtual Agents – by Eric Bokelberg
The Perfect Storm In March 2020, as companies implemented new working procedures or announced widespread furloughs, HR Service Centers were faced with an unprecedented situation. Call volumes had increased dramatically, and the types of calls were completely different from
AI in HR: From Transactions to Innovation – by Katherine Jones, Ph.D
“Algorithms are opinions embedded in code.” Dr. Cathy O’Neil, author and data scientist Some time ago, I wrote that the ubiquity of artificial intelligence (AI) in HR was not an “if” but a “when.” Now, “when” is today. The
Reimagining Talent Evaluation & Selection for the Future of Work – by Frida Polli, Ph.D
The nature of jobs, companies, workers, and society has transformed in innumerable ways over the past few decades. Four key considerations have emerged as critical for talent evaluation and selection in the new economy: Job fit: Modern employers view
A Perspective on Bringing AI to HR: Opportunities, Risks and a Recommended Path Forward – by Sheri L. Feinzig, Ph.D
Artificial intelligence (AI) and machine learning (ML) have rapidly become an increasing presence in many aspects of society during the past several years, and HR is no exception. Hundreds of vendors have brought AI-enabled HR products to market, and
Interview with Missy (Mary) Cummings
Professor Mary (Missy) Cummings received her B.S. in Mathematics from the US Naval Academy in 1988, her M.S. in Space Systems Engineering from the Naval Postgraduate School in 1994, and her Ph.D. in Systems Engineering from the University
Point/Counterpoint – Is AI Ready for HCM? – by James Jeude (Point) and Bob Greene (Counterpoint)
Point: Artificial Intelligence (AI) Must Be Part of Human Capital Management – by James Jeude ‘The purpose of Human Capital Management is to acquire, manage, and optimize the workforce that drives a modern business and powers the achievement of
AI is the Best
Sierra-Cedar (and its predecessor organizations)has conducted and published the results of its annual survey of HR information technology users for the last 22 consecutive years. A few details stand out among the survey group demographics: 609 of 1,892 (32%)