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Powered by global talent data sets so you can realize the full potential of your workforce.
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How do you get ahead when talent systems are complex and are made even more complicated by uncertainty in today’s labor market?
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Eightfold AI’s Talent Intelligence Platform is now FedRAMP® Moderate Authorized, meeting the strict security standards required for U.S. federal agencies.
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Agentic AI, autonomous agents that take on tedious tasks, are the future of HR — but not all agents are equal. Explore our guide to what true agentic AI should do in HR.
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Learn why businesses must adopt AI-driven agents to stay competitive in the evolving world of work.
Why now is the time to embrace agentic AI →
As AI and skills-based approaches reshape the way businesses operate, expectations of HR are changing. This shift requires an internal look at the structure of HR talent teams and the growing need for integration — and a common understanding — across functions like talent acquisition, talent management, learning and organizational development, people operations, and total rewards.
The rise of AI — including agentic AI — and increasingly available skills data are redefining how HR teams collaborate, make decisions, and add value. Talent professionals need to also apply a skills-first mindset to themselves: understanding future role requirements, aligning with evolving business needs, and driving career longevity.
The skills conversation has evolved from “why” to “how” — and now it’s about organizations using skills-based insights to address today’s challenges and build for the future as the business demands more agile, tactical, and integrated talent strategies.
Legacy functional silos are being tested. The emergence of AI opens the door to more broad, cross-functional roles focusing on areas like talent intelligence research or strategic skills and capabilities that better reflect how work is getting done. This creates an opportunity for talent leaders to use emerging technologies to build credibility, deepen cross-functional partnerships, and shape a more future-ready function.
By the end of this webinar, you’ll better understand:
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