Adam is the People Data & Analytics Lead at Reece Group in Melbourne, 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: 1. So What? and 2. Now What? He is responsible for synthesising the scale of people-related topics through statistics and machine learning, enabling organisations to embrace employee centricity in their decision-making.
This article has been co-authored by Adam McKinnon and Martha Curioni. Workplace safety is a top priority for employers around the world. Not only does a safe workplace protect employees from injury, but it also saves companies injury-related costs. In the US, work injury costs exceed $170 billion every year. Most of these incidents are…
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…