Artificial Intelligence Across Industries

Join the Georgetown School of Continuing Studies for an exclusive one-night, in-person symposium exploring the transformative impact of artificial intelligence across various industries.

Name: Artificial Intelligence Across Industries
Date: Thursday, March 6, 2025
Location: Georgetown School of Continuing Studies
640 Massachusetts Ave NW, Washington, DC 20001

Itinerary:
6:00–6:30 p.m. — Keynote Lecture ft. Daniel Spar
6:30–7:15 p.m. — Breakout Sessions in Various Classrooms
7:15–8:00 p.m. — Networking Reception in the C2 Atrium

Gain insights, engage in thought-provoking discussions, and connect with professionals shaping the future of AI. Attendees will receive Georgetown swag and light hors d'oeuvres, so don't miss this dynamic evening of innovation and networking.

Please note that this event is in person only.

About SCS:

With full-time and part-time enrollment options, flexible online formats, supportive academic services, and a faculty of leading educators and industry experts, SCS prepares individuals to meet their personal and professional goals in the Georgetown tradition of excellence.

Registration Policy: This event is only open to individuals interested in a Georgetown SCS program. Attendees will be asked to present a valid government-issued photo ID at the security desk. Accommodation requests related to a disability should be made to scsevents@georgetown.edu at least 7 days before this event. A good-faith effort will be made to fulfill requests made after this date.

Featured Topics:

The Impact of AI on Jobs and Skills: This interdisciplinary session will explore how Artificial Intelligence is reshaping the skills and future workforce needed. The session will look at these changes through three lenses: how supply chain and operations jobs will likely change, how human resource professionals can help reskill and manage this new workforce, and how higher education can proactively shape the pipeline of future workers to fit emerging needs. Presented by the Master's in Higher Education Administration, Master's in Human Resources Management, and Master's in Supply Chain Management.programs Taught by Linda Dunn.
   
How Sports Marketers Spell AI: This session will explore how Strategic Sports Marketing benefits from the use of AI to improve audience targeting, personalized marketing campaigns, predictions of fan behavior, ticket sales optimization, automated content creation, and social media interaction analysis. We will discuss how these capabilities boost engagement, increase efficiency, and optimize return on investment (ROI) for sports management and businesses. Presented by the Master's in Sports Industry Management program. Taught by Keith Scully.

AI Applications for Real Estate and Hospitality: AI offers opportunities to improve real estate and hotel operations ranging from maintenance and back office to client engagement.  We will share observations from current Master's in Real Estate students' research at the Expo Real conference in Munich held in October 2024. Taught by Glenn Williamson.

The City by Numbers and Narrative: How do urban planners embrace quantitative and qualitative data in formulating planning strategies? Join the Master's in Urban & Regional Planning program to learn about the mixed methods of the professional practice of planning. Taught by Uwe Brandes.

The Impact of AI on Communications: Is AI the friend or foe of communications professionals? Join us for an interactive class on how communications professionals can leverage AI while making sure to avoid its pitfalls. Presented by the Master's in Integrated Marketing Communications, Master's in Design Management & Communications, Master's in Journalism, and Master's in Public Relations & Corporate Communications. Taught by Wendy Zajack.

Psychology of Intelligence: This course examines the psychological processes underpinning intelligence analysis, emphasizing critical thinking and bias mitigation. Through case studies, students explore instances where objectivity was lacking and analyze how outcomes might differ with an understanding of cognitive processes in intelligence work. Presented by the Master's in Applied Intelligence program. Taught by Barry Zulauf.

Cybersecurity Governance Framework: This course equips students to create comprehensive governance frameworks for information security management, covering strategic planning, security architecture policies, organizational awareness, operational security, and compliance. Presented by the Master's in Cybersecurity Risk Management program. Taught by Scott Rubin.

Natural Hazards and Climate Change: This course explores natural hazards and the multidimensional aspects surrounding these events that result in disaster. Students will gain an understanding of the underlying physical processes behind hazards, the socioeconomic characteristics that manufacture risk and result in disproportionate impacts on communities, and potential mitigation, response, and recovery strategies. Presented by the Master's in Emergency & Disaster Management and the Executive Master's in Humanitarian Crisis & Emergency Management program. Taught by Tim Frazier.

AI Project Management: Presented by the Master's in Project Management program, The course provides an in-depth exploration of the strategic, methodological, and operational steps necessary for implementing successful AI-driven enterprise projects. It emphasizes the multifaceted organizational, political, and technological barriers that often impede AI adoption and presents actionable strategies to overcome these challenges. Taught by George Moschoglou.

Intro to IT Management: This course offers a theoretical and practical overview of modern technology solutions for addressing business challenges, optimizing processes, fostering innovation, and driving business transformation. Through individual and team projects, design thinking activities, and exercises, students learn to assess the impact of these technologies on businesses, employees, and consumers. Presented by the Master's in Information Technology Management program. Taught by Gregory Smith.

Ethical Decision-Making For Artificial Intelligence Across Industries: This course explores ethics across historical genres, focusing on the Western philosophical tradition, from Greek thinkers to Post-Modernists, and their relevance to AI. Students will examine how ethical principles guide technologists in building responsible, competitive AI capabilities. Join the Master of Arts in Liberal Studies and the Doctor of Liberal Studies programs in a discussion that addresses key challenges in the AI revolution and asks students to apply ethical theories to real-world AI issues, bridging philosophy with practical industry realities. Taught by Brian Murphy.