What we’re about
SF Big Analytics Youtube Channel
The SF Big Analytics meetup focuses on all aspects of the big data analytics, from data ETL, feature generation, AI/machine learning theory, algorithm and implementation to technologies and infrastructures associated with big data analytics. Topics include AI/Machine Learning (Algorithm & ML Infrastructure), data processing and monitoring, data Infrastructure, data visualization, data science lifecycle etc. This meetup covers the full range of the big data analytics topics and data mining pipelines.
We try to provide high quality talks for each meetup, here are some of the policies related to talks we have been following in last few years
-- Technical focused
-- No marketing
-- No product promotion (unless it is open sourced project)
-- No high level business talks (unless it is from highly respected leaders)
Upcoming events
2
AI meetup (AWS) for GenAI, LLMs and Agentic AI
Amazon AWS 525 market street, San Francisco , Amazon AWS, 525 Market Street, San Francisco, CA, USImportant: register on the external event website is REQUIRED for admission.
Description:
Welcome to the AI meetup in San Francisco. Join us for deep dive tech talks on AI, GenAI, LLMs and Agentic AI, hands-on experiences with code labs and workshops, and networking with speakers and fellow AI developers, builders, startup founders.Speakers/Topics:
Check the event website for speakers and topics.If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics
Sponsors:
We are actively seeking sponsors to support our community. Whether it is by offering venue spaces, providing food/drink, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 50,000+ AI developers in San Francisco and 500K+ in global.3 attendees
Carnegie Mellon x NVIDIA FL Hackathon for Biomedical Applications
Location not specified yetJoin us on January 7-9, 2026 for an in-person (remote for folks who can’t travel) hackathon at Carnegie Mellon University in Pittsburgh PA, hosted by CMU Libraries in partnership with NVIDIA.
This hackathon focuses on leveraging NVIDIA FLARE to enable collaborative, privacy-preserving computation across multiple biobanks for disease subtyping and genetic analysis, with an emphasis on rare diseases, cancer, and polygenic traits.
Open to graduate students and research scientists in academia, government, and industry. Please complete this brief application form to participate.
A first round of successful applicants will be notified by November 15. Any later applications are due by December 7.
4 attendees
Past events
290
Group links
Organizers
Members
16,571
