The partnership will allow ELMO Software to leverage the university’s world-class data science faculty to create a layer of AI that delivers predictions and recommendations based on customers’ business processes and employee data.
Sydney, Australia– 28 August 2019: ELMO, Australia and New Zealand’s leading cloud-based HR & payroll solutions provider, is joining forces with University of Technology Sydney (UTS), Australia’s leading technology university, on an innovative AI product development project. This project will deliver predictive analytic tools that leverage artificial intelligence for ELMO’s customers across Australia and New Zealand.
By drawing upon the combined strengths of both entities, ELMO will be able to provide HR and payroll professionals with a deeper understanding of their workforce, so that they can make more informed business decisions, at a faster pace.
The unique partnership provides ELMO with access to UTS’ state-of-the-art Data Arena. This interactive data visualisation facility was developed to help researchers and data scientists intuitively explore large and complex data in great detail. Featuring a 360-degree screen, 6 projectors and 3D modelling capability, this facility was part of the university’s $1bn upgrade and is the only such facility in Australia.
Critically, these insights will be based upon local data. Currently, there has been limited application of AI across every touchpoint during the employment lifecycle in Australia and New Zealand. ELMO and UTS are setting out to change that.
Working with anonymised, aggregated data that is drawn from the local market means the algorithms that drive the analytics relating to employee behaviour will be more relevant to Australian and New Zealand organisations.
Danny Lessem, CEO of ELMO commented, “From day one, ELMO’s primary focus has been to help employers automate processes, streamline workflows, and provide a seamless employee experience. Through this partnership, ELMO will be able to build solutions that will bring to light the right information at the right time, so the smartest decisions can be made.
Through predictive analytic tools that leverage workforce data, our customers will gain better insights into their people and ascertain probable employee behaviour. These insights could then be used to refine strategies around recruitment, workforce planning, professional development, succession management, benefits and remuneration.”