De qué se trata
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)
PrĂłximos eventos (3)
Ver todo- AI for the Public Good: Solutions that Matter (San Francisco)Amazon AWS 525 market street, San Francisco , San Francisco, CA
Important: Register on the AICamp event website is required for admission.
Description:
Join us for an inspiring event exploring how AI is being used 🎯 AI for Impact: Real Tech, Real Change.Discover how AI is being used to tackle real-world problems and create scalable, meaningful change in communities around the 🌍. From healthcare to government and beyond, hear from leading founders, technologists, and investors building the future — with purpose.
Whether you're building, managing, funding, or just curious about AI systems, this is your space to connect, learn, and grow with others who care about using tech for good 💡✨
​Panelists:
- ​Nico Maffey | With over a decade of experience spanning global consulting, international development, and startups, he brings a unique lens to applying AI and data-driven solutions to complex challenges across both the public and private sectors. Nico began his career in strategy consulting at McKinsey and PwC, before transitioning to solution delivery at the Inter-American Development Bank’s Lab of Emerging Technologies and World Bank’s Digital Development Practice. A committed supporter of the venture and startup ecosystem in Latam, Nico has also held investment and advisory roles with Alumni Ventures, Patagonia Ventures, and the VC Lab. Currently, Nico is a Solution Manager at C3.ai. He holds a BA and a Master’s in Economics from Harvard College and the Harvard Kennedy School.
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- Alex Trabulsi is the Vice President of Partnerships at Fast Forward and an experienced leader passionate about directing capital to purpose-driven organizations and startups. With over 15 years working at the intersection of capital, technology, and impact—including seven years leading global philanthropy at Acumen—she has worked closely with high-growth startups, major foundations, corporations, and high-net-worth individuals to help scale solutions to the world’s most pressing challenges. Her work is grounded in the belief that catalytic capital, technology, and sharp market strategy can unlock outsized impact, particularly in sectors like women’s health, AI for social good, climate resilience, and economic equity.
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- Gerardo Mateo is a tech entrepreneur, Forbes 30 Under 30 honoree, and a government software pioneer. As Chief Operating Officer and founding team member at Glass, a San Francisco-based company transforming how governments buy, Gerardo is helping reshape public procurement for the digital age. Glass powers G-Commerce, an e-commerce marketplace modernizing the $800B U.S. public procurement market—and unlocking access to the world’s largest buyer: government. Since its launch in 2020, Glass has helped over 120 government agencies across the U.S. simplify purchasing and expand access to small & local vendors.
​💥 What to Expect:
- 🍕 Free food & drinks​
- 🧠Insightful panel discussion
- 🤝 A community passionate about AI for good
- đź’¬ Networking & idea-sharing
- 🎟️ Free entry, limited spots — RSVP now!
​🗓️ Agenda
- 5:30–6:00 PM — Check-in, Food & Refreshments
- 6:00–6:10 PM — Welcome & Intros – Nico Maffey
- 6:10–7:10 PM — Panel Discussion
- 7:10–8:15 PM — Networking & Mingling
- 8:15–8:30 PM — Closing & Thank You’s
Speakers/Topics:
Stay tuned as we are updating speakers and schedules.
If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit TopicsSponsors:
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 40,000+ AI developers in San Francisco or 500K+ in global. - AI meetup (July AWS SF): GenAI, LLMs and Agentic AIAmazon AWS 525 market street, San Francisco , San Francisco, CA
** Important**: register on the event website is REQUIRED for admission.
Description:
Welcome to the AI meetup in San Francisco, in collaboration with AWS and Union ai. 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.Tech Talk: Reliable, Fault-Tolerant Orchestration for AI Agents
Speaker: John Votta (Union ai) | Sage Elliott (Union ai)
Abstract: There’s no question that AI-powered agents are here to stay in modern technical workflows. But agents present unique challenges that “traditional” AI and ML don’t have, especially when it comes to being fault-tolerant. Because agents rely on stateful execution, error recovery is more complicated, as restarting agentic workflows can be expensive and time-consuming. Additionally, because agents operate continuously, deploying updates can be tricky and risk breaking active workflows. And when things do go wrong, debugging agents in production can be a nightmare because logs are scattered across myriad vendors, with no unified timeline nor trace.The solution is orchestration: fault-tolerant orchestration that not only handles errors, but expects them, and is designed accordingly to minimize disruption. This session will discuss three key principles of reliable orchestration in an agentic AI world, with real examples of how these principles have been implemented in the upcoming Flyte 2.0 open source release. The three principles are: 1) automatic caching for intermediate workflow results; 2) versioned deployments for updates; and 3) comprehensive tracing and high-level observability for easily discoverable failures and logs.
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 TopicsSponsors:
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 40,000+ AI developers in San Francisco and 500K+ in global. - NVIDIA FLARE Q3 Webinar – Advancing Federated Learning with FLARENecesita la ubicación
Join us for our Q3 NVIDIA FLARE Webinar, where we dive into the deployment capabilities as well as peer-to-peer algorithm development with NVIDIA FLARE—NVIDIA’s open-source federated learning framework. Whether you're new to FLARE or looking to take your distributed training pipelines to the next level, this session is packed with practical insights.
đź“… Date: 2025-08-27 Wednesday
🕒 Time: 10:00 am – 11:40 am PDT
đź“Ť Location: Online (Free Registration)
Microsoft Teams : Join the meeting now
Meeting ID: 278 072 498 849 0
Passcode: rd3RU6Ra***
Dial in by phone
+1 949-570-1120,,601100745# United States, Irvine
Phone conference ID: 601 100 745#### Agenda
- 10:00 am – 10:05 am PDT — Member join and welcome
- 10:05 am – 11:00 am PDT — Talk 1
- 11:00 am – 11:35 am PDT — Talk 2
- 11:35 am – 11:40 am PDT — Closing
***
### Talk 1: Deploying Federated Learning with NVIDIA FLARE
This session offers a walkthrough of deploying federated learning using NVIDIA FLARE, covering the full journey from simulation to production. Topics include:
- A brief refresher on Federated Learning and the NVIDIA FLARE framework
- Provisioning sites and managing collaborators
- Simulating deployments using POC mode
- Setting up through the CLI and FLARE Dashboard
- Running FLARE within Docker containers
- Scaling to real-world deployments in the cloud
Speaker: Zhijin Li -- Senior Solutions Architect, Healthcare & Life Sciences, EMEA, NVIDIA
***
### Talk 2: Peer-to-Peer Programming: Distributed Optimization with NVIDIA FLARE
Dive into cutting-edge distributed learning techniques using FLARE’s peer-to-peer (P2P) programming capabilities. In this session, we’ll cover:
- Leveraging FLARE for custom P2P training
- Building decentralized optimization workflows
- Example use cases and implementation patterns
Speaker: Francesco Farina, Senior Solutions Architect, NVIDIA
