Speakers
Gary L. Albaugh
Gary L. Albaugh is Vice President of Innovation and Development at MicroTheory Engineering, where he helps expand engineering and professional services across K–12 schools, higher education, libraries, museums, and other educational organizations. His work focuses on technology strategy, innovation, and the adoption of artificial intelligence and emerging technologies in education.
Before joining MicroTheory Engineering, Gary spent more than 20 years in military and civilian service supporting the federal government, including eight years in the U.S. Army and senior technology leadership roles at Fort Hamilton and the United States Military Academy at West Point. He has contributed to national AI and machine learning initiatives and holds degrees from Marist College, the University of Phoenix, St. Joseph’s University, and American Military University.
James Brusseau
James Brusseau, PhD, teaches at Pace University in New York City and the University of Trento in Italy. His research explores the human experience of artificial intelligence, with a focus on authenticity, freedom, and personal identity.
Julia Eisenberg
Pace University
Paul Franetovich
Paul Franetovich serves as Enterprise Lead for New York City Academic Institutions at Salesforce, where he partners with higher education institutions on digital transformation. His work focuses on using technology and agentic workflows to strengthen recruitment, enrollment, fundraising, and the overall constituent experience while reducing administrative friction.
Paul brings decades of technology experience across the academic and public sectors, with previous leadership roles at Salesforce, Granicus, and Xerox. He specializes in enterprise technology, cloud migration, and workflow optimization and holds credentials in Agentic AI Development and Agentic Workflows, including certification as an Agentforce Agentblazer Innovator.
Becky Livingston
Becky Livingston, founder of Penheel Marketing, is a leading professional in integrating AI-driven solutions for accounting firms and small businesses. A recognized educator, Becky demystifies complex technology through conference and teaching sessions that use humor, current trends, and activities. When not shaping future-focused business strategies, this innovator and consultant is a devoted dog lover.
David Sachs
David Sachs, EdD, is a professor of information systems in the Seidenberg School of Computer Science and Information Systems and has served as faculty co-chair of the University’s AI Committee since April 2024. Sachs authored the AI materials currently used in CIS-101, which has served over 2,000 undergraduates, and manages many of the AI training initiatives underway at the University.
Richard Tamaro
Richard Tamaro is President and lead product designer at CASO Document Management, where he is rebuilding the company around AI. Over 20 years leading CASO, he has reinvented the company twice—first around cloud technology and now around AI. His EasyFile platform supports document workflows for financial firms, governments, universities, manufacturers, and nonprofits nationwide.
Richard’s approach to AI began inside his own company, using the technology to transform CASO’s operations before bringing it to clients. He now helps organizations move from asking AI questions to running AI-powered processes and is writing a book about transforming his 30-year-old company as AI reshapes the industry.
Ethan Truong
Ethan Truong is a software and reliability engineer with more than 15 years of professional experience building software, including tools and systems that use and support AI. He is an active contributor to open-source projects, which can be found on GitHub, and an author of a chapter in Google’s upcoming second edition of Site Reliability Engineering.
Drawing on years of professional and personal experience with AI, Ethan brings the perspective of a frontline engineer experimenting with different approaches to integrating AI into software development. His work offers practical insight into where AI delivers value, where it falls short, and what engineers can learn from both successes and misses.