From AI Users to AI Leaders: Cultivating Next-Gen Digital Talent - Seguridad Mania.com - España y América Latina
Portal sobre tecnologías para la seguridad física
Estás en »Webinars
Estás en »Webinars
Jueves 6 de Mar, 2025
As AI technologies rapidly transform enterprise operations, we're witnessing an unprecedented shift in workforce dynamics. Gen Z and Alpha generations are entering a workplace where AI isn't just a tool but a fundamental business driver, requiring a complex blend of technical prowess, adaptability, and ethical decision-making capabilities. While these digital natives possess an intuitive understanding of technology, the challenge lies in channeling this affinity into meaningful business value and innovation. The stakes are higher than ever for CIOs and technology leaders. Unlike previous technological transitions, AI's impact on workforce development demands a complete reimagining of talent strategies. Organizations must move beyond traditional technical training to foster a unique combination of AI literacy, human-centric skills, and ethical judgment. This requires a transformative approach to talent development that bridges the gap between native digital fluency and the strategic capabilities needed to drive AI-powered innovation and value creation. In this session, Giles Lindsay (Chief Information Technology Officer, Lif3away Inc.) provides a practical roadmap for CIOs to build and nurture a future-ready workforce that can thrive in an AI-augmented business landscape. Key Takeaways - Transform digital natives into strategic AI leaders, combining technical proficiency with business acumen and ethical decision-making capabilities. - Create effective learning frameworks that balance AI literacy with distinctly human skills like creativity, emotional intelligence, and critical thinking. - Implement practical approaches for continuous skill development and adaptation, ensuring your workforce remains relevant and innovative in a rapidly evolving AI landscape. - Integrate ethical considerations and bias awareness into AI talent development, building teams that can responsibly drive AI adoption while maintaining transparency and fairness.
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