The APM Consortium has a need for timely, precise, and highly detailed labor market intelligence that provides comprehensive job title level data on labor demand, skill requirements, and wage trends, among other data.
Following a thorough review of available market solutions, it has been determined that Julius Education's labor market intelligence product uniquely meets the consortium needs, offering capabilities that are not available from other providers.
Julius Education focuses on the use of Machine Learning, AI, and large data sets to deliver precise and real-time labor market data to support a range of strategic and learner-facing solutions. Julius' AI-powered Labor Market Intelligence (LMI) provides unique data at the job title level, overcoming the limitations of existing legacy labor market data sources which can’t provide deep job title level data and instead focus on repurposing BLS data aggregated at high levels (for instance, at SOC code levels). As a result, to fully understand employers’ needs for specific roles, Julius’ LMI provides real-time, job-level specific data across skills, credentials, and educational requirements. This is essential for accurately aligning educational and training provider programs to employers’ needs, especially in advanced technology environments where requirements are changing year over year, if not more frequently. Julius’ job level data is also essential for accurately forecasting specific job growth and demand at a job level (as opposed to alternatives which enable growth forecasts at an aggregated SOC code level).
In addition to the breadth of data provided, Julius Education offers real-time updates that ensure access to the most current information.
Julius Education has received multiple sole source awards from federal agencies, including work on the Department of Energy’s Cooperative Agreement DEEE0008574 (GREAT with Data Initiative) through the Electric Power Research Institute.