
How to Ace the Wharton TBD (From an Ex-Admissions Fellow)
The Wharton Team-Based Discussion (TBD) is unlike any other MBA interview—a fast-paced, collaborative exercise designed to test how you think, communicate, and lead in a group setting. In this session, Brian B., a Wharton MBA graduate (with honors) and former Admissions Fellow who helped run Wharton’s TBDs, will share insider insight into what the admissions team is really looking for. Having coached dozens of MBA candidates, Brian will walk you through how to prepare effectively, contribute with confidence, and stand out as both a strong teammate and leader. Whether you’ve received your Wharton invite or are planning ahead, you’ll leave this session with actionable frameworks and strategies to excel in the TBD.

Strategies for Your Med School Application
Applying to medical school is a competitive and complex process—but the right strategy can make all the difference. In this panel, seasoned experts Nathan M. (UNC), Xavier G. (Cornell), and Floriane K. (Stanford) will break down the key elements of a standout application, from framing your personal story and highlighting clinical experiences, to securing strong letters of recommendation and excelling in interviews. You’ll hear practical insights on how to approach each part of the process, avoid common mistakes, and position yourself as a compelling candidate. Whether you’re early in the journey or finalizing applications, this session will give you concrete tools and strategies to maximize your chances of admission.
Turning AI Learning into Real Results
Apply course concepts to identify your first pilot and define measurable next steps.

Case Studies of Successful AI Transformations
Review examples of organizations that scaled AI successfully while maintaining trust and engagement.
Training & Scaling: Turning AI into Habit
Learn how to embed AI into daily routines through consistency, peer learning, and visible wins.
How Real AI Success Happens
Learn from case studies of organizations that scaled AI responsibly through pilots and trust.
How to Lead AI Change with Confidence
Learn how leaders can frame AI adoption, involve teams, and communicate effectively.
Leadership & Action: Framing AI for Success
See how leadership communication and small pilots build trust and accelerate adoption.
Why Responsible AI Matters
Learn the core principles of responsible AI and why trust is critical for sustainable adoption.

Responsible AI Principles
Review five key principles that ensure AI supports people rather than replaces them.

Audit an AI Use Case for Risk
Practice identifying potential risks and safeguards for a specific AI use case.

Responsible AI Frameworks and Laws at a Glance
Review major frameworks and regulations shaping responsible AI practices.

Build a 90-Day AI Roadmap
Plan your first AI pilot, define metrics, and set a timeline for measurable progress.

AI Change Management Playbook
Learn how to communicate, train, and pilot AI projects effectively across your organization.

Common AI Roadblocks (and Quick Wins)
Identify frequent barriers to AI adoption and learn practical ways to overcome them.

Assess Your Organization’s AI Maturity
Score your organization’s current AI maturity and identify next steps for improvement.
Why AI Adoption Fails (and What Success Looks Like)
Analyze real-world case studies to understand why AI initiatives stall and how successful ones sustain progress.
Getting Your Data Ready for AI
Learn how to prepare and structure data for AI by focusing on access, cleanliness, and context.

AI Ethics Policy Template
Use this template to draft or refine your organization’s responsible AI policy.

AI Ethics Leader’s Guide
Learn how to model responsible AI use and communicate ethical standards to your team.