Hosted by Google - Build a Multi-Cloud Data Pipeline to Drive AI/ML applications

GDG Detroit
Wed, Nov 20, 2019, 11:30 AM (EST)

1 RSVP'ed

About this event

PLEASE NOTE: Since this event is hosted by Google, it has a separate registration link that is managed by Google partner Confluent, found here ->

Come join the Google team at the Google Detroit office in Little Caesars Arena to learn more about how you can build a multi-cloud data pipeline to drive AI/ML applications for your organization.

11:30 - 12:15 PM – Lunch & Networking, Hosted by Google
12:15 - 1:00 PM – Welcome: Multi/Hybrid Cloud Strategy for AI/MI: Confluent & Google
1:00 - 3:10 PM – Apache Kafka and AI/Machine Learning in the Cloud – Let’s Connect the Dots
3:10 - 3:30 PM – Wrap Up: White Board Ideas, Q&A


Background on using Confluent with Google Cloud
Apache Kafka® has become the de facto standard for reliable and scalable streaming infrastructures. AI/Machine learning and the Apache Kafka ecosystem are a great combination for training and deploying analytic models at scale. AI/Machine Learning/Deep Learning are showing up more and more in projects, but still feel like buzzwords and hype for science projects. See how to connect the dots! How are both related? How can they be combined to productionize Machine Learning models in mission-critical and scalable real time applications?

Parking and Logistics

We can validate parking if you use the Henry Street Garage, refer to the address below.

Please use the Henry Street Garage located at 128 W Fisher Service Dr, Detroit, MI 48201

Once you have parked you will need to enter Little Caesars arena using the Google entrance which is located on the south side of the building (head north-east from the garage), you will see a large Google sign above the entrance, it is visible when you exit the garage.

LCA security will ask you to pass through a metal detector. Once you are cleared, you will proceed to the elevator and head to the 4th floor, where a Googler will greet you and direct you to the event room.