Explore why AI in Talent Management needs more than skills and data, and how grounded Human Capability Intelligence can improve talent decisions.
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Explore why AI in Talent Management needs more than skills and data, and how grounded Human Capability Intelligence can improve talent decisions.
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Connect with the Author: Garrick Throckmorton, COO Every year, Gartner publishes its top priorities for HR leaders. I typically scan the list looking for what’s new, what has moved up, what has dropped off, and what emerging trends deserve attention. But on many occasions this year, I found myself asking a different question: What hasn’t
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Competitive advantage in HR Tech comes less from the AI model and more from the quality of the ontology beneath it. Learn more…

Discover how a midsize bank transformed succession planning using KSAP tools, talent differentiation, high-potential assessments, and evidence-based talent reviews.
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A science-based alternative to the 9-box grid for identifying high-potential talent and improving succession planning.
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Learn how the 9-box grid was originally designed, what it solved, and why many organizations misuse it in modern talent management.
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An overlooked 360 best practice: learn how to select the right raters, why first impressions matter, and how timing impacts feedback quality.
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Talent management is entering a defining moment with AI. Why governance, transparency, and data standards must guide how we deploy AI tools.
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Should HR rely on self-report assessments to identify high-potential leaders? Explore risks, benefits, and best practices for HiPo decisions.
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The 70-20-10 leadership development model is research-based. Learn its origins, evidence, and modern relevance in talent management.
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