Strategically and Ethically Implement Artificial Intelligence in Your Organization
Course Overview
Hosted in partnership with Boulevard Consulting, AI for Executives is designed for decision-makers seeking a practical understanding of artificial intelligence and its strategic role within established organizations. Rather than focusing solely on theory or hype, AI for Executives explores the real-world challenges of implementing AI in preexisting business cultures — from securing organizational buy-in to managing data governance, risk and unexpected costs.
Participants will gain insight into key AI/ML techniques, industry tools and cloud platforms, while also learning to evaluate when AI is the right solution—and when it isn't. Through historical context, current use cases and candid discussion of ethical and policy considerations, this course equips leaders to make informed, pragmatic decisions about adopting and scaling AI in their organizations.
Upcoming Classes
Course investment: $4,500
October 20th-22nd, 2025
9:00 a.m. - 5:00 p.m., ET
JMU Washington Center
DC
October 28th-30th, 2025
9:00 a.m. - 5:00 p.m., ET
JMU Washington Center
DC
Questions About This Program?
Contact Elizabeth Sacco at
saccoeg@jmu.edu
540.568.4038
Meet Your Instructor
Dr. Robert T. Finn is a seasoned data scientist with over 20 years of experience at the intersection of artificial intelligence, financial analytics, and regulatory compliance. Currently serving as an expert Data Scientist at The Boulevard Consulting Group, he leads advanced projects in fraud detection, machine learning, and workflow automation, including work with the U.S. Department of Justice. Previously, Dr. Finn was the Lead Data Scientist at the Financial Industry Regulatory Authority (FINRA), where he developed AI-driven surveillance systems for financial markets and led modernization efforts across enforcement platforms.
With a Ph.D. in Mathematics and a Master’s in Computer Science & Engineering from The Ohio State University, Dr. Finn has also held academic positions as Assistant Professor and Senior Lecturer in data science, machine learning, and financial analytics. His unique background bridges deep technical expertise with practical, high-stakes applications, making him particularly adept at translating complex AI concepts into executive-level insights.
About The Boulevard Consulting Group
Boulevard is a forward-thinking consulting firm helping clients harness data science, artificial intelligence/machine learning, operational transformation and emerging technologies. We deliver scalable, high-impact solutions by blending cutting-edge innovation with proven improvement methodologies—backed by the personalized attention of a boutique firm. Our community of problem solvers brings bold thinking, technical expertise and creativity to help federal and commercial clients meet today’s challenges and build a smarter, more resilient future.
Registration Information
Admission Requirements: Students must have an undergraduate degree to register in this program.
Program Completion Requirements: Attendance at all courses is required.
Course timeline & Structure: This class runs from 9am-5pm over three days. There will be a one hour break for lunch and two 15 minute breaks, one in the morning and one in the afternoon. Students are encouraged to bring their own laptop; however, there are a limited number of Boulevard-supplied laptops available for student use.
Online: Credit card payments (Visa, MasterCard, Discover, and American Express) can only be accepted through online registration.
By Mail: To pay by check*, please complete the registration form and mail with payment to the address shown on the form no later than 3 weeks prior to the start date to allow for mail time.
*A $50 fee will be assessed for any check returned by the bank.
Registration Deadline: Registration closes 1 week prior to class start date.
Withdrawal policy: Withdrawal must be submitted at least 1 week before the course start date to receive a full refund.
For additional information including cancellation and refund policy, see Policies and Notices.
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