Intro to AI Webinar for Associations and Nonprofits

Generative AI. Large Language Models. This webinar will not only teach you what these technologies are and how they work but also offer an up-close look at how an actual AI expert utilizes these tools in real-world scenarios.

Perfect for AI newcomers and early explorers, this session promises a unique opportunity to see generative AI in action, equipping you with the knowledge and confidence to responsibly implement AI in your workflows.

Next Webinar: December 17th @ 11AM CT

What You'll Learn

Generative AI and LLM Essentials: Understand the basics and importance of generative AI and Large Language Models.
Seeing AI Tools in Action: Witness the power of AI tools through live demonstrations, showcasing their impact on real-world scenarios.
Custom Personas with Prompt Engineering: Learn to create targeted personas in ChatGPT for personalized content and interactions.
Safe AI Practices: Learn which settings to adjust for privacy and security, and understand what information is safe to input into AI tools.

Hear What Others Are Saying

Loved it, it was perfect for the audience and I will be taking the follow-up course. I have shared the webinar with two other colleagues who are also taking the follow-up course. Well done.

Amy Farmer, Ed.D., CAE

Senior Director of Mobility at American Association of Veterinary State Boards

Very well done and great for those on the fringes of this whole thing. The topic is so intimidating and this made it so much less so. Great tips and info for beginners.

Shelli Browning

Manager, Professional Knowledge Development at The Institute of Internal Auditors Inc.

I loved the practicality and hard examples of what programs to use, when to use them, and how they work/how to get the most out of them.

Brendan Armstrong

Junior Digital Design Specialist at Credit Union Executives Society

Thomas Altman is a data scientist, association expert and entrepreneur. His first introduction to the world of associations was a decade ago when he took a job implementing AMS solutions right out of graduate school. With a degree in applied statistics and machine learning, he immediately saw a gap in what associations were doing with data and what was possible. He saw data either go unused or used to create flashy dashboards that had no impact on helping associations deliver on their missions. Thomas quickly realized that analytics that don't lead to measurable action are, at best, entertainment and, at worst, a waste of resources. He's dedicated his career to changing that and helping associations create data-driven action plans so they can know what needs to be done and know that it's working.