Talk #0: Introductions & Meetup Announcements
By Chris Fregly, Principal Solution Architect & Antje Barth, Principal Developer Advocates, AI & machine learning @ AWS

Talk #1: Amazon DataZone & Data Mesh
By Joel Farvault, Principal Solutions Architect @ AWS Data & Analytics

Use Amazon DataZone to share, search, & discover data at scale across organizational boundaries. Collaborate on data projects through a unified data analytics portal that gives you a personalized view of all your data while enforcing your governance & compliance policies.

Talk #2: Generative AI use cases & deep-dive
By Arun Shankar, Sr. Solution Architect @ AWS AI/ML

I will provide guidance from how to best showcase our SageMaker Generative AI playground or try-out experience (e.g., prompt engineering guidance), training/ fine tuning capabilities available, selecting instances & real-world deployment considerations in production.

We will cover:

Guided Generative AI demos, git-hub examples & technical Q&A for public & proprietary models in SageMaker.
Differences between various types of learning with these large language models, natural language understanding & generation tasks they can solve & what are the some of the common use cases that are aligned with these tasks.
Guidance on how to select the model that fits their needs (looking at model performance, cost & usability).
RSVP Webinar: https://www.eventbrite.com/e/webinarkubeflow-tensorflow-tfx-pytorch-gpu-spark-ml-amazonsagemaker-tickets-45852865154

Zoom link: https://us02web.zoom.us/j/82308186562

Related Links
O'Reilly Book: https://www.amazon.com/dp/1492079391/
Website: https://datascienceonaws.com
Meetup: https://meetup.datascienceonaws.com
GitHub Repo: https://github.com/data-science-on-aws/
YouTube: https://youtube.datascienceonaws.com
Slideshare: https://slideshare.datascienceonaws.com