AWS Meet-up Auckland, March 6th

Hello everyone!
Please join us on Thursday the 6th of March from 5.30pm.

Topic:
Unlocking ML Efficiency with SageMaker Lakehouse & Unified Studio

An introduction and live demo of SageMaker Lakehouse and SageMaker Unified Studio, showcasing their capabilities in unifying data and streamlining machine learning workflows. The session will highlight how SageMaker Lakehouse integrates data lakes and warehouses for seamless ML operations, while SageMaker Unified Studio provides an all-in-one environment for data preparation, model building, deployment, and monitoring. Attendees will gain insights into how these tools enhance collaboration, simplify end-to-end ML workflows, and accelerate AI innovation.

*IMPORTANT*
Due to security protocols at AWS’ office, you must complete this FORM at least 24 hours prior to the start of the event. It is compulsory to complete this form for all attendees to gain access into the venue. You will need to provide photo ID to building security upon arrival.

Our speaker this month:

Frank Huang
Solution Architect/ Data Scientist / Data Engineer / BIE/ Blockchain Data consultant

Venue Location:
AWS Auckland Office (Level 13, Commercial Bay, 15 Customs Street West, Auckland)

Doors open at 5pm
o 5:30 pm - Start Networking
o 6:00 pm - Discusson
o 7:00 pm - Networking
o 7:30 pm - Finish

Food and Drinks provided