Adopting artificial intelligence and emerging technologies in talent management requires more than selecting the right tool. It demands deliberate planning around integration points, user adoption, data quality, governance and sustained performance monitoring. Many organizations acquire technology without sufficient preparation for change management, creating resistance, underutilization and misalignment with talent strategy. This micro-course examines the foundational elements of successful technology adoption in talent management: why preparation matters before implementation begins, how to structure the change process to build user confidence and engagement, how to establish governance and quality standards that protect talent data and decision integrity, and what it takes to sustain adoption and extract value as systems mature.
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