We have begun to open the black box that is AI, providing a simple overview of ML. We looked at three broad types of ML—reinforcement, supervised and unsupervised—and examined some simple applications of each, where possible related to Human Resources.
Data and AI readiness is the goal of every company looking to succeed in the Data and AI-first society we are living in. To put in more context to the story, we previously talked to Henrik Göthberg, Founder and CEO of DAIRDUX, about the concept of becoming and being Data and AI-ready.
Machine learning has been gaining more traction in the HR department owing to the array of benefits with creating job descriptions to attract the best talent, training recommendations for employees and predicting employee attrition.
Steve Scott, former Head of Strategic Workforce Planning and Workforce Analytics at Lloyds Banking Group, gave some tips and hints he wished he had known when he was starting out with people analytics during his presentation at the Nordic People Analytics Summit 2019.
As everyone working with HR becomes aware of the importance of data analytics and its impact on enhancing recruiting, workforce management and performance, it’s a matter of time when the question of an HR dashboard is put forward.
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