Infor, an industry-specific business applications provider, built for the cloud, has incorporated Infor Coleman, an enterprise-grade AI platform into the company’s talent science solutions. Coleman, a platform that operates below an application’s surface, mines data and uses machine learning to improve processes such as inventory management, transportation routing, and predictive maintenance, and as the company claims, now even human capital management.
At present, the application will be deployed within Infor Talent Science in the areas of role-based profile development.
Infor Talent Science is a patented, cloud-based Predictive Talent Analytics solution that helps users put the right people in the right positions to achieve business objectives. For the past 15 years, Infor Talent Science has practiced the concept of leveraging a single assessment deployed across an entire client base to develop job-focused and role-focused predictive custom performance profiles. By leveraging large quantities of behavioral and performance data, the application delivers insight that is then customized into predictive models that let organizations better select, retain and develop the right talent across the entire employee life cycle and, over time, completely transform a business.
Now, Infor Talent Science is utilizing Coleman and its AI capabilities to further maximize the predictability of the profile creation process.
“We’ve proven that the single assessment concept provides a significant strategic advantage for businesses today. It enables HR professionals to look across talent acquisition and talent management through one lens. Now, we are using the latest in AI to maximize the predictability of our performance profiles and drive further benefit into our customers’ hands,” said Tarik Taman, General Manager, IMEA, Infor.
Coleman will be ‘enhancing’ Infor Talent Science in a variety of ways. First, Coleman leverages machine learning for the predictive models used in the Performance Profile creation system. Instead of creating a predictive model through an organization’s data alone, now Coleman leverages the tens of millions job candidates in the Infor Talent Science database to create a model that is more accurately calibrated to the global workforce – while still maintaining a high level of validity and legal defensibility critical to making HR decisions.
Additionally, Infor Talent Science is now utilizing Coleman to create an enhanced system that increases the precision and validity of the prediction models itself. Each time a model is created, Coleman leverages AI and machine learning to increase the predictability of the model. If the system identifies a strategy for improving validity (and increasing the likelihood of better hires), it will then dynamically modify the model creating better circumstances for success.
“Both changes greatly decrease the level of human intervention needed for the creation of our predictive models and allow these models to dynamically adapt as conditions change within the workforce and the organization. This will result in more predictive models, which ultimately lead to lower turnover and higher performance for those people who are a good fit,” said Mr Taman.
Beyond innovations around artificial intelligence and Predictive Talent Analytics, Infor Talent Science is also using Coleman to power its Human Capital Management Learning Optimization and Human Capital Management Team Dynamics products.
