What we're about
Join the Rsqrd AI community Slack: https://bit.ly/ai-community-slack
Robust & Responsible AI (Rsqrd AI) is a community of AI builders [engineers, scientists, product managers, etc] who are committed to making AI technology robust & responsible. We organize community events to share knowledge and collaborate on best practices for enterprise-scale AI development.
Expect to see plenty of live conversations, talks, workshops and social events!
Want to give a talk? Reach out to Sage Elliott on Slack.
This group is managed by the wonderful people at whylabs.ai.
Upcoming events (3)
Join this hands-on workshop to get started with data and machine learning model monitoring.
RSVP on eventbrite to join live: https://www.eventbrite.com/e/intro-to-ai-observability-monitoring-ml-models-data-in-production-tickets-574953269707?aff=r2sea
If you want to build reliable pipelines, trustworthy data, and responsible ML models, you need to validate and monitor your data.
In this workshop we’ll cover how to use validation and monitoring techniques to implement your own AI observability solution from start to finish. Once completed you'll also receive a certificate!
This workshop will cover:
- Data quality validation
- Detecting data drift
- Measuring model drift
- Monitoring model performance
What you’ll need:
- A modern web browser
- A Google account (for saving a Google Colab)
- Sign up free a free WhyLabs account (https://whylabs.ai/free)
Who should attend:
Anyone interested in AI Observability, Model monitoring, MLOps, and DataOps! This workshop is designed to be approachable for most skill levels. Familiarity with machine learning and Python will be useful, but it's not required.
By the end of this workshop, you’ll be able to implement data and AI observability into your own pipelines (Kafka, Airflow, Flyte, etc) and ML applications to catch deviations and biases in data or ML model behavior.
About the instructor:
Sage Elliott enjoys breaking down the barrier to AI observability, talking to amazing people in the Robust & Responsible AI community, and teaching workshops on machine learning. Sage has worked in hardware and software engineering roles at various startups for over a decade.
Connect with Sage on LinkedIn: https://www.linkedin.com/in/sageelliott/
About WhyLabs:
WhyLabs.ai is an AI observability platform that prevents data & model performance degradation by allowing you to monitor your data and machine learning models in production.
Check out our open-source ML monitoring project: https://github.com/whylabs/whylogs
Do you want to connect with the team, learn about WhyLabs, or get support? Join the WhyLabs + Robust & Responsible AI community Slack: https://bit.ly/rsqrd-slack
- Sage E.
- Rajkumar N.
- Thomas H.
- 3 attendees
Join this hands-on workshop to perform model versioning, serving, and monitoring.
RSVP on Eventbrite to join live: https://www.eventbrite.com/e/model-serving-monitoring-with-bentoml-whylabs-tickets-600964560177?aff=r2sea
This workshop will teach you how to use BentoML to manage and serve machine learning models and integrate WhyLabs to monitor your models and data pipelines in production. We will cover topics such as:
- Model serving and versioning with BentoML
- ML Monitoring and data drift detection with WhyLabs
BentoML (https://www.bentoml.com/) is an open-source platform that simplifies the deployment of machine learning models, making it easy to package and serve models as APIs.
WhyLabs (https://whylabs.ai/) is an end-to-end machine learning observability platform that enables you to monitor your ML models and data pipelines, understand their performance, and debug your machine learning model.
Who should attend:
Anyone interested in ML Model Serving, Model Management, AI Observability, Model monitoring, MLOps, and DataOps! This workshop is designed to be approachable for most skill levels. Familiarity with machine learning and Python will be useful, but it's not required.
By the end of the workshop, you will have a solid understanding of how to serve and monitor ML models with BentoML and WhyLabs and be ready to deploy your models more confidently.
About the instructor:
Sage Elliott enjoys breaking down the barrier to AI observability, talking to amazing people in the Robust & Responsible AI community, and teaching workshops on machine learning. Sage has worked in hardware and software engineering roles at various startups for over a decade.
Connect with Sage on LinkedIn: https://www.linkedin.com/in/sageelliott/
About WhyLabs:
WhyLabs.ai is an AI observability platform that prevents data & model performance degradation by allowing you to monitor your data and machine learning models in production.
Check out our open-source ML monitoring project: https://github.com/whylabs/whylogs
Do you want to connect with the team, learn about WhyLabs, or get support? Join the WhyLabs + Robust & Responsible AI community Slack: https://bit.ly/rsqrd-slack
- Sage E.
- 1 attendee
The team at NumFOCUS will be hosting PyData Seattle conference 2023 April 26-28 at the Microsoft Conference Center in Redmond a 1000 in-person attendees https://pydata.org/seattle2023/ We are excited that this event is returning to Puget Sound after the pandemic caused a longer hiatus than any of us hoped for.
Get 10% members discount HERE: 💟
The conference is currently accepting Diversity Scholarship applications. Please share these opportunities for speaking and attending with your colleagues and students.
One of PyData's goals is to increase awareness and excitement around opportunities for underrepresented groups in software engineering and data analytics. If you believe you fall into this category and would not otherwise be able to attend, consider applying! Diversity Scholarship Applications are due 2/21 and can be submitted here. 💟
🌼 PyData is organized by, and all proceeds benefit NumFOCUS, a US 501(c)(3) public charity. Proceeds are used for the continued development of open-source tools used by data scientists and the advancement of the NumFOCUS mission to promote sustainable high-level programming languages, open code development, and reproducible scientific research. NumFOCUS supports and promotes world-class, innovative, open source scientific computing projects including: Pandas, Numpy, Sympy, IPython, Jupyter, Matplotlib, R and Julia.
More information about the conference and to find tickets you can visit https://pydata.org/seattle2023/.
We would love to see representation from the Open Source Seattle Spark+AI community and welcome you all to submit a CFP or join the event as an attendee. If you have any questions please address pydataseattle @ (gmail).com. Thank you for sharing this information and helping us spread the word! 🌎 💕
- Sage E.
- 1 attendee
Past events (44)
- Sage E.
- Andrew G.
- Greg T.
- 4 attendees
