Forecasting the future through the lens of AI conversations
Dr. Balaji Padmanabhan
Associate Dean of Strategic Initiatives and Professor of Decision, Operations and Information Technologies
University of Maryland - Robert H. Smith School of Business Balaji Padmanabhan, Professor of Decision, Operations and Information Technologies, has a Bachelor's degree in Computer Science from Indian Institute of Technology (IIT) Madras and a PhD from New York University (NYU)'s Stern School of Business and has worked in the data science, AI/machine learning and business analytics areas for 25 years. His current work addresses the design of artificial and augmented intelligence solutions that combine data, machine learning and modeling the real-world through complex systems simulations and has broad applications across business, policy, media and healthcare. He has published extensively in data science and related areas at premier journals and conferences in the field and has served on the editorial board of leading journals including Management Science, MIS Quarterly, INFORMS Journal on Computing, Information Systems Research, Big Data, ACM Transactions on MIS and the Journal of Business Analytics.
Kelcey Coleman
Recruiting Manager
University of Maryland - Robert H. Smith School of Business Kelcey Coleman serves as Recruiting Manager for the graduate business programs at the University of Maryland's Robert H. Smith School of Business. With a focus on connecting talented students to the School's MS and MBA opportunities, she leads outreach and admissions-coordination efforts to support applicants and build the incoming cohort.
Aida Kamizi
Director of Graduate Admissions
University of Maryland - Robert H. Smith School of Business Aida Kamizi, M.S., serves as the Director of MBA & MS Admissions at the University of Maryland's Robert H. Smith School of Business. With a strong background in marketing intelligence and higher education, she brings extensive experience in graduate admissions, student engagement, and program management. Aida is passionate about helping students navigate their academic and professional journeys and has played a key role in shaping recruitment strategies that connect talent with opportunity at Smith. She holds a Master of Science in Marketing Intelligence from Towson University and has previously worked across marketing and operations roles in the Washington D.C. - Baltimore area.
Associate Dean of Strategic Initiatives and Professor of Decision, Operations and Information Technologies
University of Maryland - Robert H. Smith School of Business Balaji Padmanabhan, Professor of Decision, Operations and Information Technologies, has a Bachelor's degree in Computer Science from Indian Institute of Technology (IIT) Madras and a PhD from New York University (NYU)'s Stern School of Business and has worked in the data science, AI/machine learning and business analytics areas for 25 years. His current work addresses the design of artificial and augmented intelligence solutions that combine data, machine learning and modeling the real-world through complex systems simulations and has broad applications across business, policy, media and healthcare. He has published extensively in data science and related areas at premier journals and conferences in the field and has served on the editorial board of leading journals including Management Science, MIS Quarterly, INFORMS Journal on Computing, Information Systems Research, Big Data, ACM Transactions on MIS and the Journal of Business Analytics.
Recruiting Manager
University of Maryland - Robert H. Smith School of Business Kelcey Coleman serves as Recruiting Manager for the graduate business programs at the University of Maryland's Robert H. Smith School of Business. With a focus on connecting talented students to the School's MS and MBA opportunities, she leads outreach and admissions-coordination efforts to support applicants and build the incoming cohort.
Director of Graduate Admissions
University of Maryland - Robert H. Smith School of Business Aida Kamizi, M.S., serves as the Director of MBA & MS Admissions at the University of Maryland's Robert H. Smith School of Business. With a strong background in marketing intelligence and higher education, she brings extensive experience in graduate admissions, student engagement, and program management. Aida is passionate about helping students navigate their academic and professional journeys and has played a key role in shaping recruitment strategies that connect talent with opportunity at Smith. She holds a Master of Science in Marketing Intelligence from Towson University and has previously worked across marketing and operations roles in the Washington D.C. - Baltimore area.This talk will cover two key issues relevant to today's AI conversations. Does the "predictive vs generative AI" framing still hold? And second, what will humans be doing in an AI world? Attendees will get a flavour of how GenAI models can be used in traditional forecasting/predictive applications and use a framework to understand how augmented intelligence systems can be understood.
Explore human"“AI interaction dynamics
Learn forecasting through AI models
Discover AI's creative potential
Learn to analyze ethics in AI communication
Enhance your skills for careers in AI
Understand how prediction improves planning and strategy
Get access to the SEED Scholarship Fund worth 6 Million USD
The University of Maryland's Robert H. Smith School of Business is a globally recognized institution committed to delivering innovative and transformative business education. Located near Washington, D.C., Smith offers a wide range of undergraduate, MBA, executive, and specialized master's programs designed to prepare students for leadership in a rapidly evolving global market. Known for its cutting-edge research, diverse faculty, and strong industry connections, the school emphasizes data-driven decision-making, entrepreneurship, and social responsibility. With a focus on experiential learning, collaboration, and leadership development, the Smith School equips students with the skills, insights, and ethics needed to excel in their careers and make a positive impact in business and society.
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08 January 2026
9:30 AM EST (America/New_York)
08 January 2026
9:30 AM EST (America/New_York)
08 January 2026
9:30 AM EST (America/New_York)
08 January 2026
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22 January 2026
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13 January 2026
9:30 AM EST (America/New_York)
