Please join us for our July speaker event with Amber Graner and Chase Christensen and an exciting introduction to Kubeflow. Get to know Kubeflow's open source and Cloud Native Computing backed machine learning toolkit that helps teams communicate, collaborate, and put more models into production.

Machine learning is here to stay and has generated incredible demand for ML/AI roles. These roles at first were siloed and highly specialized but as more businesses move models into production we realize that one role is simply not enough. To scale you have to specialize and we are now in the era of technical empathy we call MLOps. MLOps come with its own set of challenges as we build teams that consist of data scientists, machine learning engineers, DevOps engineers, business stakeholders, and more. These teams need new ways to communicate and collaborate. Machine Learning Toolkits seek to do exactly that. Kubeflow is the Cloud Native Computing Foundation backed and open source machine learning toolkit. With the recent CNCF whitepaper([https://www.cncf.io/reports/cloud-native-artificial-intelligence-whitepaper/](https://www.cncf.io/reports/cloud-native-artificial-intelligence-whitepaper/)) there is no better time to learn (and contribute to) Kubeflow. Come to this session to learn about MLOPs, Kubeflow, and what's in it for you. Be ready with questions around open source, community, pipeline components, contributing, serving, and anything else that you want to know about the flow.

**Amber** is the Head of Community at TileDB. She is a seasoned professional with a rich history in open source communities–Ubuntu, Linaro, Open Compute Project Foundation, Zeek, Kubeflow and more. Amber is known for her leadership skills and commitment to inclusivity. Amber served as an all-source intelligence analyst in the US Army and is a decorated combat veteran.. Amber brings a unique blend of skills to ignite communication, collaboration and contribution in, near or around open source and actively seeks opportunities to empower individuals and organizations to use the technologies she is working with.

**Chase** brands himself as a people-prioritized, open source-harmonized, and impact driven machine learning sales engineer. Realistically, he finds great satisfaction in learning about people, helping them solve problems with technologies he believes in, and appreciating them for trusting him to do so. Chase is the author of the **LinuxFoundationX: Introduction to AI/ML Toolkits with Kubeflow** course and is currently at TileDB where he is helping teams structure their data and improve their ML outcomes as a staff solutions engineer.

Don’t worry, our Denver/Boulder chapter is not a community of just MLOps practitioners (Machine Learning Operations). We also enjoy other awesome things like Machine Learning Development, Artificial Intelligence, Data Science, Data Analytics, Business Intelligence, Data Engineering, LLM Operations, and open-source data projects.

Feel free to drop us a message if you have any questions!

Denver MLOps Community

Bianca DePriest

Jeremy Silva

Claire Longo

Pizza, Pints & Expert Speaker | Intro to Machine Learning Toolkits with Kubeflow

Code Talent

## **Please register on the Luma Page:** [https://lu.ma/sjzmq522](https://lu.ma/sjzmq522)

**Yes, that Google. Join MLOps South Bay for this incredibly exciting event!**

Come hear an amazing lineup of lightning talks from Google engineers as well as our featured MLOps speakers on prompt engineering!

# **🎙️ Our Lineup**

TBD

# **​📆 Agenda**

* ​​**6:00pm**: Doors open
* ​**6:30pm**: Talks begin
* ​**7:45pm**: Meet and mingle with our speakers

​Special thanks to Google for being an amazing venue partner and hosting this event!

​​*Please be advised: Unfortunately, space is quite limited at these community events and we can not always accept everyone we would like to. If you are not accepted to this event, please keep applying! We appreciate your application tremendously and we are looking forward to seeing you at a future event very soon!*

***

​\*\*[MLOps Community ](https://mlops.community/)\*\*fills the swiftly growing need to share real-world Machine Learning Operations best practices from engineers in the field. While MLOps shares a lot of ground with DevOps, the differences are as big as the similarities. We needed a community laser-focused on solving the unique challenges we deal with everyday building production AI/ML pipelines. We’re in this together. Come learn with us in a community open to everyone. Share knowledge. Ask questions. Get answers.

​\*\*[Google Gemini](https://gemini.google.com/?utm_source=google&utm_medium=cpc&utm_campaign=2024enUS_gemfeb&gad_source=1&gclid=CjwKCAjwl4yyBhAgEiwADSEjeIbjHXJNJM8kWLiBEByFrtSZbmv5emx_R9-RD2IaDVVsRrfzZYYhyhoCqgkQAvD_BwE):\*\* Gemini isn't just another AI model; it's your versatile companion, ready to supercharge your creativity, productivity, and understanding of the world. This cutting-edge technology blends the best of Google's AI research, offering a suite of capabilities that will redefine how you interact with information.

MLOps community

Hari Masoor

CHANDANA SRINIVASA

Rahul Parundekar

MLOps Community x Google Cloud Meetup

Another exciting **Melbourne MLOps.Community Meetup** is happening in August! Join fellow enthusiasts from the Machine Learning industry as we come together to deep dive into the world of ML and MLOps. 🚀✨

**// Speakers**
This time we have two standout guest speakers from ABC and HealthBird who will be sharing their experiences in Machine Learning in their industries. Don't miss this opportunity to gain firsthand knowledge, engage in insightful discussions, and expand your understanding of the rapidly evolving ML landscape.
We're delighted to introduce

* **Jeffrey Molendijk**, Machine Learning Engineer at Australian Broadcasting Corporation (ABC) sharing their insights on ML in the media - *Machine Learning Applications in Media Organizations*

and
* **Ali Arslan**, Senior Machine Learning Engineer at HealthBird, diving into learnings and best practices of MLOps using AWS in the health industry

**// Networking**
The Melbourne MLOps Community continues to strive towards fostering a space where ML Engineers & Practitioners can mingle and share ideas. We encourage discussions around the tools you're working on, trends you're observing, and how to find peer support. We've got the food, drinks, and the perfect space for networking, so bring along anyone interested in ML and MLOps!

/**/ Agenda**
🍕 5:30pm - Drinks/Networking/Food
🙋‍♀️ 6:00pm - Welcome
🎤 6:10pm - Talk with Jeffrey
❓ 6:30 pm - Questions for Jeffrey
🎤 6:40pm - Talk with Ali
❓ 7:00 pm - Questions for Ali
🍻 7:10 pm - Drinks/Networking/Food

Are you keen to find out about the next big thing in the industry and how others are utilising it? Do you want to connect with more like-minded ML Engineers & practitioners? Look no further, because the Melbourne MLOps.community Meetup is here to fulfil those needs!

Looking forward to seeing you there!

P.S. We'll be streaming the event via Google Meet if you can't make it in person!

Melbourne MLOps Community

MLOps Community

Anja Wolf

Brad J

MEL MLOps Community #9 | ML in Media and Health | Talks & Networking

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