Working Smarter with Iris - May 2026

In this session, learners, team managers, and admins learn from product experts how to skill up more efficiently with Iris, exploring use cases and best practices with live demos and Q&A.

May 20, 2026

12 a.m. Mountain Time

All Regions

First name*

Last name*

Email address*

Country*

By clicking submit, you agree to our Privacy Policy and Terms of Use, and consent to receive marketing emails from Pluralsight.

Get to know Pluralsight’s AI assistant

As technical roles become more complex and time becomes an increasingly precious commodity, finding answers quickly and upskilling at top speed are serious competitive advantages. In this webinar, we’ll take a deep dive into the ways that Iris, Pluralsight’s AI assistant, can help make your use of Pluralsight more efficient. Whether you’re a learner looking for study help or a team manager aiming to curate content in seconds, this deep dive will show you how to leverage Iris to work even smarter.

In this session, we’ll guide you through using Iris to:

Get personalized learning assistance with real-time comprehension checks, summaries, and technical answers without leaving a course
Search Pluralsight’s library with increased precision, so you know which courses, modules, and clips meet your specific needs
Curate content in seconds, defining an appropriate and tailored learning path for you or your team

Meet the speakers

Please set an alt value for this image...

Anelise Leishman

Customer Education Manager, Pluralsight

Anelise Leishman is a Customer Education Manager at Pluralsight who strives to empower tech learners with the clarity and actionable knowledge they need to reach their most ambitious goals. With years of experience developing Pluralsight’s Help Center and admin resources, she is an expert in providing users the right information at the right time. Outside of work, Anelise is a classically trained dancer and ballet educator who brings the same discipline and precision from the studio to the tech world.

Madi Sperry

Data Scientist, Pluralsight

Madi Sperry is a Data Scientist at Pluralsight, passionate about using machine learning and data to improve how tech professionals learn and grow. She brings a strong foundation in NLP, experimentation, and applied statistics to making Pluralsight's platform smarter and more personalized for every learner. Outside of work, she can be found in a reformer pilates class, running her neighborhood book club, or adventuring with her dog, Teton.