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)
See all- GenAI Startups Demo & Networking with AWSAmazon AWS 525 market street, San Francisco , San Francisco, CA
** Important: it's REQUIRED to register on the event website for admission.
Description:
Join us for an exciting evening of innovation and networking at the AWS Loft in San Francisco!AICamp, in collaboration with AWS, is bringing together 10 cutting-edge startups to showcase their latest products and technologies. Each startup will have 7 minutes to demo their product, offering a glimpse into the future of AI and tech innovation.
After the demos, the stage will be open for networking, Demo stations where you can connect with fellow tech enthusiasts, startup founders, investors, and industry experts.
Whether you want to discover new technologies, find potential collaborators, or simply expand your network, this event is the perfect opportunity to engage with the vibrant AI and tech community.
Demo Application: Apply to demo here
Agenda:
- 5:30pm~6:00pm: Checkin, food and networking
- 6:00pm~6:30pm: Panel or Fireside chat
- 6:30pm~7:30pm: Startup demos (10 teams, 5mins/team)
- 7:30pm~8:30pm: Demo stations, NetworkingStartups Featured (Past events):
- TrustGraph: Open source, full end-to-end GraphRAG solution.
- Botprise: Enabling enterprise cloud build and deploy AI-composable SaaS and agents.
- AIMon: Detect quality issues like Hallucinations and help troubleshoot them.
- ApertureData: Graph vector database, purpose-built for multimodal AI applications.
- Okahu: AI Observability as a Service built on open source Monocle.
- VideoDB: Video cloud AI to instantly search, customize & stream video.
- OmniStack: Single API layer for AI inference that allows the use of any models.
- Log10: Scales subject matter expert (SME) review, eliminating bottlenecks of deploying AI applications in production.
- Eidolon: The industry's first AI Agent Server for the enterprise.
- Assistant-UI: UI frontend components for AI chat interfaces to launch AI features faster.
- aiXplain: An AI platform to streamline agent development and deployment for non-AI experts.
- LitenAI: An AI Engineer for technical support and debug.
- and more.
Attending Investors (Past events)
- 500 Global
- Bosch Ventures
- Captiv8
- Citrix
- Everynet
- Google for Startups
- Greylock
- iSeed Ventures
- McKinsey
- Micron
- NexParadigm Capital
- and moreSponsors:
We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, 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 Bay Area or 500K+ worldwide.Not open - FLARE Webinar 2: Federated Learning Applications: Healthcare and FinanceNeeds location
This is Part 2 of the FLARE quarterly webinar, focused on healthcare and financial applications
Agenda:
9:30 am PDT to 9:35 am PDT people join online.
9:35 am PDT to 11:00 am PDT Webinar and Q&A
11:00 am PDT closingJoin by:
https://teams.microsoft.com/l/meetup-join/19%3ameeting_YWVmOGY4YjgtM2Y5OS00ZTg2LWI2MjUtNDg5ODZiZmEzOWJj%40thread.v2/0?context=%7b%22Tid%22%3a%2243083d15-7273-40c1-b7db-39efd9ccc17a%22%2c%22Oid%22%3a%223f4ac28c-b68d-44d0-90db-dac09e640b21%22%7dMicrosoft Teams
Join the meeting now
Meeting ID: 215 975 200 476 1
Passcode: H9cB3vK2Federated Learning Applications: Healthcare and Finance
Federated Learning (FL) enables decentralized AI model development while preserving privacy. NVIDIA FLARE offers tools for collaborative model training across institutions without sharing raw data. Two of the application fields are healthcare and finance. In healthcare, it enhances diagnostic accuracy by training models on sensitive patient data and enables more effective drug discovery by fine-tune foundation models with data from diverse sources. In finance, it aids in fraud detection and risk assessment through secure model training across organizations. NVIDIA FLARE supports large-scale projects, secure and efficient data exchange, model optimization, and performance monitoring for real world federated studies.
This Webinar will cover how NVIDIA FLARE is applied in these two field, with details in 1) AI models, including basic machine learning models like SVM, tree-based models like XGBoost, and deep learning models, 2) data security concerns under different collaboration modes and assumptions, 3) solutions by NVIDIA FLARE functionalities to the concerns. In particular, we will discuss healthcare use cases using both CNN models for processing medical image analysis tasks, and language models for drug discovery; and for financial applications, we will first visit how to adapt commonly-used traditional machine learning models to a federated paradigm, and then go into details of the use of XGBoost model with advanced security features. We showcase the potential to address critical challenges in distributed AI development under data sharing constraints.
