10 December 2021
The Deep Human Learning® models, developed by Lifeed in partnership with RES Group, will allow companies to analyse thousands of small data generated by Lifeed training participants, leveraging the talents and skills developed across all their life roles.
How can companies help their people to discover hidden talents? How to make the most of the skills acquired by employees across their various life roles and experiences, especially in the personal dimension? To answer these questions, Lifeed launches its new Deep Human Learning® models, developed in collaboration with RES Group, a key player in the IT and digital marketing sector.
Starting from the reflections collected among participants in Lifeed training paths, the artificial intelligence models will measure and predict key indicators such as self-efficacy, engagement, energy, and work-life balance.
In a world characterized by uncertainty and deeply transformed by the pandemic, Lifeed’s Deep Human Learning® models will equip companies with a new tool to better listen and get to know their people, in order to enhance them in their wholeness and not just simply as professionals. By revealing the competences developed by employees in their personal lives, the models will help companies to transfer those skills to the professional sphere and count on a richer, extended set of competences.
“The artificial intelligence models developed with RES allow us to better read and interpret complex, destructured and meaningful data”, says Chiara Bacilieri, Head of Data at Lifeed. Thanks to Deep Human Learning®, she adds, “artificial intelligence acquires new relevance in the HR sector, helping management teams to know their people more in depth, to uncover the talentd they develop across their various life roles and to enhance them at work, too”.
“Today, companies are increasingly placing human potential at the heart of their processes. Thanks to Natural Language Processing (NLP), the branch of artificial intelligence that deals with the automatic understanding of human language, we can speed up and simplify the way companies get to know and enhance their employees’ talent through the automatic analysis and interpretation of the textual data they produce”, says Federico Bonelli, CEO of RES IT.
“To develop Lifeed’s automated models, we used deep learning algorithms inspired by neural networks, an evolution of traditional machine learning algorithms. In particular, for Deep Human Learning®, we used BERT, one of the latest Google products to run linguistic tasks. The model has been further refined to allow a deeper and more intimate knowledge of human language”.
