Leverage AI to Boost Both Skills and Task Efficiency
How a Task-First Lens Can Unlock Workforce Potential
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Organizations increasingly promote skills-based strategies, but many overlook the value of task-based performance. In this keynote, Marc Ramos presents a powerful case for balancing the two and shows how AI thrives in task optimization. He argues that a task-first mindset, supported by data and AI, leads to more measurable performance gains.
Marc explores why many skills-based models underdeliver, citing misaligned taxonomies, overcomplication, and weak ties to business outcomes. Through this lens, he emphasizes the value of shifting focus toward the enabling tasks that actually drive success.
Using compelling examples and case studies, Ramos shows how AI can streamline task execution and reveal hidden productivity gains. Attendees will explore the real difference between skills for future potential versus tasks for immediate impact.
This session also confronts the human side of transformation, including perceived competence, change fatigue, and leadership expectations. Leaders will walk away with a more balanced framework for learning and development that values both skills and the high-leverage tasks that bring them to life.
by
Marc Ramos is a global learning leader with 25+ years’ global transformation experience with Google, Microsoft, Accenture, Novartis, Oracle, and Red Hat. He is currently the Global Head of Learning Strategy and Innovation at ServiceNow, where he is leading the transformation of AI for L&D initiatives. Prior to ServiceNow, Marc served as CLO with learning technology leader Cornerstone, and with Novartis, Marc led Novartis’ learning strategy and innovation with responsibilities for learning tech, analytics, knowledge management, learning design and portfolio optimization. At Google, Marc was responsible for leading Consumer Operations training supporting 3.2 billion users, served as Head of Education for Google Fiber, led Professional Development programs for teachers using Google offerings, and built Google’s central Global Learning Design function.
Most recently, Marc and teams’ accomplishments include ATD BEST Learning Org with Novartis, as well as Learning & Performance Institute Best Learning Culture, LinkedIn Employee Engagement Champion award and Best Culture of Learning, and Chief Learning Officer Learning In Practice. He is also published in Harvard Business Review and several industry outlets with an emphasis on AI and GenAI approaches for L&D and HR professionals.
Marc studied European Art History at Cambridge University and graduated from the University of California at Berkeley with a combined focus on Film Theory and Organizational Behavior. He is credentialed from MIT’s AI & Business Strategy Executive Program at the Sloan School of Management, a strategic advisor for EdTech startups, venture capital and private equity firms, and currently an appointed Fellow at Harvard’s Graduate School of Education’s Learning Innovation Lab.
Global learning leader with 25+ years’ global experience with Google, Microsoft, Accenture, Novartis, Oracle, and ServiceNow..
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