Program

Spring 2026 Program

• 8:30 a.m.–9:00 a.m. | Refreshments and Registration
• 9:00 a.m.–9:10 a.m. | Opening Remarks
• 9:10 a.m.–9:40 a.m. | KEYNOTE: From Tools to Teammates—Leading the Workforce in an Agentic AI Era 
• 9:45 a.m.–10:40 a.m. | The Intelligent Economy: AI Across Critical Sectors
• 10:45 a.m.–11:40 a.m. | Building the Foundations: How Organizations Overcome Roadblocks to AI Integration
• 11:45 a.m.–12:40 p.m. | Navigating AI Risk: Ethics, Law, and Public Perception
• 12:40 p.m.–12:45 p.m. | Remarks by Marvin Krislov, president of Pace University
• 12:45 p.m.–1:00 p.m. | Start Lunch
• 1:00 p.m.–1:50 p.m. | LUNCH AND LEARN: The Future of AI—What’s Hype, What’s Real, and What’s Next
• 1:50 p.m.–2:00 p.m. | Closing Remarks
• 2:00 p.m.–3:15 p.m. | Tabling and Networking Happy Hour

Spring 2026 Panels And Sessions

From Tools to Teammates—Leading the Workforce in an Agentic AI Era 

As AI evolves from chat-based tools to agentic systems that can plan, execute, and collaborate, the workforce is entering a new phase: AI isn’t just assisting work, it’s starting to do work. In this keynote, Kaitlin Elliott explores what happens when “software” becomes a “teammate,” and what that means for jobs, skills, and organizational design. 

The Intelligent Economy: AI Across Critical Sectors

Chatbots were the beginning. Now, AI is quickly becoming the infrastructure powering our global economy. From finance and energy to healthcare, telecom, and manufacturing, organizations are using AI to turn massive volumes of data into real-time intelligence, unlock new business models, modernize legacy systems, and redefine how value is created. In this session, leaders from finance and technology will share sector-specific insights while unpacking shared challenges around regulation, data strategy, workforce transformation, and risk. This is the macro-level AI conversation shaping markets, policy, and education alike.

Building the Foundations: How Organizations Overcome Roadblocks to AI Integration

Integrating AI isn’t just about choosing the right tools—it’s about preparing the organization behind them. Technical infrastructure, data readiness, governance structures, employee training, ethical safeguards, and public perception all influence whether AI adoption succeeds or stalls. In this session, IT leaders, policy experts, and business strategists break down the most common roadblocks to AI adoption and share practical strategies for overcoming them. From governance frameworks to cultural readiness, learn how to build the foundation your organization needs to deploy AI responsibly, securely, and confidently.

Navigating AI Risk: Ethics, Law, and Public Perception

How do we know when it’s appropriate to utilize AI? It’s a question businesses and individuals are asking every day and the path forward isn’t always clear. What ethical, legal, and reputational risks come with adopting AI at scale? In this session, experts across ethics, law, and public relations break down the dilemmas organizations face and how to navigate them wisely. Before you deploy, make sure you’re asking the right questions: Is it ethical? Is it legal? Is it worth it?

The Future of AI: What’s Hype, What’s Real, and What’s Next

AI is evolving at a pace that’s hard for any organization to track. New breakthroughs dominate headlines, while myths and misconceptions spread just as quickly. How do we separate hype from reality? And which trends will matter most for businesses in the next year, three years, ten years? In this session, technologists, strategists, and industry leaders explore the real trajectories shaping AI—what’s emerging, what’s overblown, and what organizations need to prepare for right now. From generative AI to automation to emerging regulation, learn how to make informed decisions in a landscape full of promise and misinformation.