Tuesday, 12 September 2023 | Pullman Auckland
THE WORLD OF DATA, APPS AND AI COLLABORATION IS COMING TO AUCKLAND
The Data Cloud World Tour is all about collaborating with data in unimaginable ways. Join us and your fellow data, technology and business leaders to learn about the latest capabilities of the Data Cloud and hear directly from our customers about their most exciting use cases. Topics covered will include the future of generative AI and LLMs, working with Apache Iceberg in Snowflake, bringing more development to the data with Snowpark Container Services and much more.
Whether you are a developer, a data scientist, an IT executive, or a business leader, the Data Cloud World Tour is your opportunity to discover, learn and experience how Snowflake’s Data Cloud can take your company and your career to new frontiers.
Cost: Free event
Location: Pullman Auckland, Corner Waterloo Quadrant &, Princes Street, Auckland
GOVERNMENT EMPLOYEES: Please be advised that Snowflake will be providing food and beverage with an approximate market value of $48NZD at this event. By accepting the food and beverage, you are confirming that you are not prohibited or otherwise restricted from doing so by virtue of your government employment. If you are unable to accept the food/beverage gratuitously, please contact dcwt-anz-DL@snowflake.com.
REGISTER NOW
During the event you’ll have the opportunity to:
- Choose from various breakout sessions presented by fellow Snowflake customers, experts and partners.
- Join the opening keynote to hear about the newest innovations to the Data Cloud, including how Snowflake can power AI without tradeoffs.
- Network with local Snowflake customers, technology partners and data leaders to find out how you can drive even more value from your data.
Agenda at a Glance
Start Time |
Session Details |
8:00 AM – 8:45 AM |
Registration / Networking |
8:45 AM – 10:00 AM |
Opening Keynote |
10:00 AM – 10:45 AM |
Morning Tea |
10:45 AM – 12:00 PM |
Breakout Session |
12:00 PM – 1:00 PM |
Lunch and Networking |
1:00 PM – 4:00 PM |
Breakout Session |
4:00 PM – 5:30 PM |
Happy Hour and Partner Expo Hall |
Session Tracks
SIMPLIFYING ARCHITECTURES AND OPERATIONS
Discover how the Data Cloud continues to break down silos and helps you better access and understand all your data, while ensuring governance and data privacy. Learn how Snowflake supports multiple types of architectural patterns, such as data lake, data mesh and others for whatever your current and future data strategies require.
DELIVERING AI/ML WITHOUT TRADEOFFS
Learn how developers can bring more work to the Data Cloud to accelerate end-to-end development, run faster and cheaper pipelines and build machine learning models. See first hand how new announcements around Snowpark and LLMs can expand what’s possible in Snowflake.
DEPLOYING, DISTRIBUTING AND MONETISING APPS
Learn about the latest enhancements to help you build, operate, scale and distribute your apps in the Data Cloud. Discover how organisations across industries are accelerating their time to market, differentiating their products and unlocking new revenue by building apps in the Data Cloud.
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Speakers
|
Steve Jurkovich |
Trevor Eastbrook |
Todd Crosslin |
Reagan Murphy |
Sandamali De Zoysa |
Wessel De Meyer |
Nic Crouch |
Adam Courtier |
Quintus van Wyk |
David Godfrey |
Why Attend?
DISCOVER
See the power of the Data Cloud with case studies and presentations by customers, partners and Snowflake teammates near you. Uncover new opportunities to collaborate with your business ecosystem and find out how you can drive even more value from the Data Cloud.
LEARN
Join our keynote, breakout sessions and hands-on labs. Learn about the latest capabilities and newest innovations to the Data Cloud, including how Snowflake is the platform for AI / ML, now and for the future.
EXPERIENCE
Meet and network with individuals and organisations that make up the Data Cloud. Connect with data heroes from your industry, solve your most pressing problems at the Meet the Expert booth and meet ecosystem partners that can help unlock the value of your data.