PUBLISHER: IDC | PRODUCT CODE: 2001238
PUBLISHER: IDC | PRODUCT CODE: 2001238
This IDC Perspective discusses that AI transformation has a lot of potential to bend digital use cases to the individual behaviors that lead to successful outcomes for individual employees toward collective business objectives and key results. Behavioral modeling for collective performance outcomes is modernizing HCM beyond advanced and predictive analytics into probabilistic, multifactor insights generation. Despite AI's promise for personalized performance growth, AI use has led to rising data distrust for many organizations. Overcoming distrust and moving toward managed data unity and contextual insights drives towards an HR-IT partnership that rests on HR becoming more technically savvy to support IT's understanding of how to execute through process and insights design goals presented by HR and line-of-business stakeholders. "AI is rapidly pressuring HCM stakeholders to understand more about how data quality and trust drive their future process and performance goals and outcomes," says Zachary Chertok, senior research manager, HCM Applications and Agents, IDC. "HR leaders must mature the growing HR-IT partnership to meet organizational goals for flexible and real-time workforce insights and context insertion into business performance models. The partnership calls on HR leaders to mature into data strategy orchestrators that guide IT teams through AI frameworks design. The frameworks, in turn, deliver seamless and real-time performance insights and growth guidance to the line of business while driving collective insights as context constraints into financial and operational planning.