This AI-generated podcast episode explains the transformative role of leadership in the education sector during the digital era, featuring insights from Dr. Marco Serrato, who serves as Vice President at Arizona State University and Professor of Global Strategy and Business Analytics at Thunderbird School of Global Management.

As the Learning Economy rapidly evolves—driven by the intersection of education, technology, and workforce development—leaders must adapt and anticipate future trends to remain at the forefront. In this podcast episode, Dr. Serrato's insights are explained, highlighting how digital technologies can be harnessed to foster innovation, inclusivity, and lifelong learning, and why new forms of educational leadership are crucial in navigating the challenges and opportunities of the modern educational landscape.

The Future of Educational Leadership in the Digital Age

This AI-generated audio podcast delves into the critical topic of Data Equity within the realms of Data Analysis and Artificial Intelligence. The episode explores a range of essential insights, including:

The imperative of data equity in responsibly leveraging the power of generative AI.
The necessity of a comprehensive approach to data equity that addresses representation, access, features, and outcomes.
The unique challenges posed by foundation models, characterized by their scale, complexity, and opacity.
The importance of diverse stakeholder engagement to mitigate bias amplification and foster inclusive results.
The need for proactive, collaborative efforts to direct the evolution of Generative AI, ensuring it serves the common good.
This episode provides a robust discussion aimed at equipping leaders and professionals with the knowledge to influence the equitable development of AI technologies.

Data Equity - Foundational Concepts for Data Analysis and AI

This AI-generated podcast summarizes key concepts related to predictive AI, as outlined in a set of concepts, ideas, use cases and examples prepared by Professor Marco Serrato. This podcast outlines definitions, functionalities, use cases, and distinctions from other forms of AI. This AI-generated podcast episode also addresses broader concepts within AI and related concerns and potential risks.

Predictive AI, Generative AI and Predictive Analytics

This AI-generated podcast episode explains mathematical optimization models, which provide a structured and efficient approach to decision-making in business and industry. The podcast outlines, initially, how these models are built upon insights derived from correlation and regression analysis.

By identifying relationships between variables and quantifying their impact, predictive analytics allows organizations to make data-driven decisions before defining the optimization framework. Once these predictive relationships are established, decision-makers can implement optimization models to determine the best possible actions while considering business constraints and goals.

This structured approach—leveraging predictive analytics and optimization—enables organizations to enhance productivity, reduce costs, and improve overall strategic decision-making.


Mathematical Modeling for Decision-Making: Understanding Optimization Models based on Correlation and Regression Analysis Insights

Marco Serrato serves as Vice President of Arizona State University‘s Learning Enterprise, which serves learners across their entire lifespan. Under this role, Marco collaborates with academic units and faculty across the university to identify and oversee opportunities to serve such learners.

Marco has a global understanding of higher education, including professional, executive and continuing education programs across different industries, geographies and emerging technology platforms. He has experience developing initiatives with private, governmental, and nongovernmental organizations in the United States, Latin America, Europe, Asia, Africa and the MENA region, including serving as emeritus board member and former chair of the International Consortium for University-based Executive Education (UNICON). He has also served as representative to the University Professionals for Continuing Education Association (UPCEA) and the Latin American and European Continuing Education Network (RECLA).

Prior to joining Arizona State University (ASU), Marco served as associate provost at The University of Chicago and as vice rector for continuing education at Tecnológico de Monterrey in Mexico. He also serves as professor of global strategy and business analytics at Thunderbird School of Global Management at Arizona State University and has experience as adjunct faculty at the PhD, master’s, executive education and undergraduate levels. Marco was a visiting scholar at the Massachusetts Institute of Technology (MIT) and has published more than thirty research papers on international peer-reviewed and conference journals, four books, and three book chapters. His contributions in the higher education landscape have been featured by international media including the World Economic Forum and the United Nations, among others.

Marco serves in several corporate and academic boards, including the American University in Cairo’s executive education council. He has also co-founded two start-ups that provide consulting and learning solutions in public and private sectors.

Originally from Mexico, Marco is a first-generation college graduate that holds a double-degree PhD in Industrial Engineering – Operations Research from Iowa State University and Industrial Engineering – Operations Management from Tecnológico de Monterrey.

Mserratog

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