
The rhetoric and allure of GenAI are compelling – but how do you move from hype to reality? How do you shift from curiosity and confusion to a context where GenAI is intentionally deployed for strategic impact? Organizations that successfully design and deploy AI that delivers business value and ROI will build the structural, cultural and internal decision-making capabilities needed for impactful transformation.
Join us on Wednesday 19th November for a live 90-minute Enterprise Effectiveness (EEN) session in which Alexis Fink (Senior Research Scientist) and Alec Levenson (Senior Research Scientist) will discuss how organizations can connect internal capabilities with intent to translate AI’s potential into purposeful organizational effectiveness and business value. You’ll gain insights into how to identify and prioritize high-value AI opportunities within your business processes and learn more about CEO’s forthcoming AI for Business Transformation Labs.
Who should attend?
What’s the Enterprise Effectiveness Network (EEN)?
The Enterprise Effectiveness Network (EEN) is a dynamic peer-to-peer community where we discuss and address talent, organizational, and strategy execution challenges. Led by USC’s Center for Effective Organizations (CEO) experts Alec Levenson, Jennifer Deal, Sharna Wiblen EEN sessions are 90-minute virtual sessions founded on research-backed insights. By joining us for our EEN sessions, you’ll gain access to expert and research-led discussions and practical tools and be part of a network of like-minded professionals committed to advancing enterprise effectiveness. Together, we tackle real-world issues at a depth that drives meaningful, lasting impact.

Senior Research Scientist, Former VP, People Analytics & Workforce Strategy, Meta

CEO Senior Research Scientist
This program is open to all eligible individuals. The Center for Effective Organizations operates all of its programs and activities consistent with the University’s Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.