Adam was formerly responsible for Advanced People Analytics engagements and HR Innovation Discovery at Merck KGaA in Germany, and is recently returned with his family to his home country of Australia. Drawing upon a multi-disciplinary academic background in Psychology, IT, Epidemiology, and Finance, Adam is an advocate of asking two questions in his work: So What? and Now What? He employs Machine Learning and Natural Language Processing to synthesize the scale of multinational companies, making that scale understandable and usable, so that organizations can embrace employee centricity in their decision making.
The last 6 months have, more than ever, emphasized the importance of knowing what is coming. In this article, we take a closer look at forecasting. Forecasting can be applied to a range of HR-related topics. We will specifically examine how forecasting models can be deployed in R and end with an example analysis on…
We recently published an article titled “A Beginner’s Guide to Machine Learning for HR Practitioners” where we touched on the three broad types of Machine Learning (ML); reinforcement, supervised, and unsupervised learning. In this follow-up article, we will explore unsupervised ML in more depth. We will demonstrate, how we use cluster analysis, a subset of…
When you hear Artificial Intelligence (AI) the first thing that comes to mind are robots; in particular, the Steven Spielberg movie titled A.I. where a robot child is built that can love and behave just like a real human. This idea appears to be closer to a dream than reality. Truth is, AI is more…