TOPIC
A single job posting can attract hundreds, or even thousands, of applications due to accessible hiring platforms and technology. For talent teams, the challenge is no longer just attracting interest, but quickly identifying the right candidates, maintaining a fair process, and aligning hiring with long-term business goals. How can employers use AI and automation to streamline hiring without compromising fairness or human judgment? How is skills-based hiring changing how companies define fit and evaluate candidates?
From Day One is a Recertification Provider for SHRM and HRCI. This session is eligible for 3 credits from both organizations. The Activity IDs will be sent to attendees after the conclusion of the session.
Themes
The workforce of tomorrow depends on spotting the right talent today. Skills-based hiring is reshaping how organizations define fit, moving beyond traditional resumes to focus on capabilities, potential, and transferable skills. Which innovative methods are helping teams identify high-potential candidates more quickly and accurately? How can organizations balance immediate hiring demands with long-term workforce planning? What strategies can make these approaches equitable, inclusive, and aligned with broader business objectives?
In today’s high-volume application environment, with so much automation being used, talent leaders must ensure fairness while still identifying the right talent quickly. How can organizations ensure equitable candidate evaluation at scale? What approaches redefine fit beyond traditional resumes? How can hiring processes balance speed with long-term workforce goals? How can they ensure their applications and interviews are reaching a diverse slate of candidates?
Technology is revolutionizing recruitment, but human judgment remains critical. How can talent teams use AI and automation to streamline workflows to free up time so TA leaders can put the personal touch to work with high-value and high-potential candidates? ? Which emerging technologies and tools are truly empowering TA professionals, and which are overhyped or no longer effective? What checks and balances ensure tech-driven recommendations are fair? How can these tools enhance both candidate experience and decision-making?