Data & AI are Driving HR Modernization

The federal government has a complex hiring process, governed by a host of regulations and policies. Difficulties in hiring young people and individuals with valuable skills such as cybersecurity, and the impact of the pandemic on all employers, has modernizing HR is at the forefront of many agency leaders’ minds.

Data and AI-driven tools can increase visibility into, and lessons learned from hiring, onboarding, and turnover, but understanding the significance of those findings and their impact on the workforce and overall mission success is key to realizing the full potential of HR modernization. Establishing visibility into HR processes across federal agencies can provide insights into new recruitment approaches that help improve skill and diversity gaps and highlight where new technologies and improved processes can ease pain points.

Learning Objectives:

• Delineate the current state of federal recruitment and retention practices
• Identify steps in the HR process that can be standardized across agencies to improve efficiency and shorten decision cycles
• Outline the role of data and applying AI to improve both HR processes and employee outcomes
• Review lessons learned from ongoing efforts to improve onboarding/offboarding and reduce turnover