Event Update:

We wanted to inform you that the Virtual Event:ChatGPT Enterprise Learning Lab Series scheduled for November 13th at 5PM PT will be rescheduled to a later date. The exact date and time are still to be determined. We are excited about the insights this event will offer, and we look forward to sharing them with you soon.

For now, we will keep the event card available, but registration will be temporarily closed until we finalize the new schedule. We appreciate your understanding and will send out a new invitation as soon as the details are confirmed.

Please note that we will be unregistering all current registrants, which might remove the event from your calendars. This will allow you to re-register once the new date is set, ensuring you have the most up-to-date details.

Thank you for your interest and patience. We look forward to your participation once the new date is set.

About the Event:

Lois Newman leads another session in the exciting new series, ChatGPT Enterprise Learning Lab. These sessions guide users through the ins and outs of GPT technology. As the series progresses, the sessions will delve into more complex topics, tailored to the growing needs of our community. These advanced sessions will explore strategies for scaling custom GPTs, optimizing workflows, and using AI to tackle domain specific challenges.

We want to tailor this session to the content you most want to see. Fill out this form to share your ideas and tell us what you need help with building.

About the Speakers:

Lois is a Customer Success Manager at OpenAI, specializing in user education and AI adoption. With over 10 years of experience in SaaS, she has extensive experience in developing and delivering engaging content, from large-scale webinars to stage presentations, aimed at enhancing user understanding and adoption of new technologies. Lois works closely with customers to ensure ChatGPT is integrated into daily activities and effectively utilized in the workplace. Lois is known for her storytelling approach, making complex technology relatable and accessible to all audiences.