Workshop Overview

The Lean AI workshop is designed to help participants tackle real-world AI challenges within their organizations. This hands-on session focuses on practical application and immediate takeaways.

Participants will work on a current AI use case from their company, using templates and receiving direct feedback from experts. The workshop is limited to 20 participants to ensure personalized attention.

Jeff Gothelf and Josh Seiden of Sense & Respond Learning will lead the workshop, providing guidance throughout the session. They will help participants de-risk investments and maximize impact in their AI projects.

Date, Time, and Location

The workshop will be held on July 29, 2025. The session will run from 9:00 AM to 1:00 PM EDT.

This is a live online workshop, allowing participants to join from anywhere. Ensure you have a stable internet connection to participate effectively.

The workshop will be conducted virtually, providing a convenient and accessible learning experience. Participants can engage with the instructors and fellow attendees remotely.

Workshop Content and Objectives

The workshop covers key aspects of AI project development, including identifying key assumptions. Participants will learn to design experiments to test these assumptions effectively.

Measuring what matters for AI success is a core focus, ensuring projects are aligned with business goals. Participants will also learn to build evidence-based cases for scaling successful AI initiatives.

Specific topics include: Identifying key assumptions in your AI project, Designing experiments to test those assumptions, Measuring what matters for AI success, Building evidence-based cases for scaling.

Registration Information

Registration for the Lean AI workshop is available through the provided link. Due to limited space, early registration is recommended to secure a spot.

To register, visit: https://bit.ly/4eldGRb. Ensure you complete all required fields to confirm your participation.

This workshop is ideal for those exploring new AI use cases or scaling existing AI-enabled products. Don't miss this opportunity to transform your approach to AI.