About us
Are you ready to dive into the world of everything from foundational data science to the newest frontiers of AI? This is your hub for connecting with passionate pros, leveling up your skills, and staying ahead of the curve. We’re on a mission to build a stronger, more collaborative data community.
We partner with amazing organizations to bring you dynamic, hands-on events. Think hackathons, deep-dive workshops, and expert-led lectures that go beyond the basics. Our events are all about getting your hands dirty and contributing to the open source community.
This community is for anyone who wants to learn, build, and share, including:
- Data practitioners of all kinds
- Developers who code with data (R, Python, etc.)
- Designers and creators focused on data visualization
- Decision-makers looking for new ways to innovate with open source tools
Ready to get in on the action?
- Lead a talk or workshop by submitting your idea here: https://forms.gle/STEDWxgWBMnLnt8F8
- Lend a hand as a volunteer: https://forms.gle/rJB2k8ZvU7mj1R3c8
- Showcase your startup and get exposure: https://forms.gle/2Z31dmGPe7RTw28B9
ODSC Links:
• Get free access to more talks/trainings like this at Ai+ Training platform: https://aiplus.training/
• ODSC blog: https://opendatascience.com/
• Facebook: https://www.facebook.com/OPENDATASCI
• X: https://x.com/_ODSC & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://join.slack.com/t/odscaiglobal/shared_invite/zt-3dj97wj4x-C3CwI2AOBfskNIWwRsZCNw
• Code of conduct: https://odsc.ai/west/conference-guide/
Upcoming events
2
WEBINAR "Build Real-Time AI Agents with Context Engineering on Google Cloud"
·OnlineOnlineAdd to your calendar - https://hubs.ly/Q0469-0j0
AI agents are only as good as the data they can access, yet legacy architectures often fail to provide the real-time context agents require. This session explores context engineering: the foundation for ensuring data freshness and quality. We will demonstrate how to unify streaming and low-latency serving on Google Cloud using the Model Context Protocol (MCP) and Vertex AI.
Learn how combining Confluent’s real-time data with Google Cloud enables agents to take accurate, autonomous action without the lag of traditional data stacks.
Speaker#1: Dr. Sean Falconer is Confluent’s AI Entrepreneur in Residence, driving AI strategy and thought leadership. Sean has built and launched products that have impacted millions. As the founder of Proven.com, he led engineering, product development, and go-to-market strategies, successfully guiding the company to acquisition. At Google, Sean worked on enhancing developer experience and advancing conversational AI technologies.
He holds a Postdoc in Bioinformatics at Stanford University, where he collaborated with the World Health Organization to modernize the International Classification of Diseases.
## Useful Links
- Free access to more talks/trainings: Ai+ Training platform
- ODSC blog: https://opendatascience.com/
- Slack Channel: https://hubs.li/Q03SyZP80
- Code of conduct: https://odsc.ai/code-of-conduct/
2 attendees
WEBINAR "Building an Enterprise-Ready Agent Workforce"
·OnlineOnlineAdd to your calendar: https://hubs.li/Q04ftPyG0
The agentic era has arrived. The gaps haven't closed.
In 2024, the challenge was getting generative AI into production. In 2026, organizations are deploying agents into mission-critical, externally-facing workflows with near-zero tolerance for failure. The pain points haven't disappeared. They've gotten harder.
In this 30-minute session, Nikki Rouda, Senior Director of Product Marketing at DataRobot, walks through the 2026 Unmet AI Needs report, a global survey of 413 AI leaders and practitioners across regulated industries. You'll get the data behind five findings reshaping how teams build, run, and govern enterprise agents:
- Why ongoing operations now cost more than the initial build for 71% of teams
- What's behind the 94% Day 2 failure rate and which failure modes hit hardest
- Why 64% of respondents are deploying outside the public cloud, and what that means for tooling choices
- How the average agentic stack ballooned to 12.6 distinct tools and what teams are doing about it
- Why governance — not capability — is the top blocker for scaling to 100+ agentsYou'll leave with a clear read on where the industry actually is, the questions to ask before your next agent ships, and practical framing for the conversations you're having with your own team this quarter.
## Useful Links
- Free access to more talks/trainings: Ai+ Training platform
- ODSC blog: https://opendatascience.com/
- Slack Channel: https://hubs.li/Q03SyZP80
- Code of conduct: https://odsc.ai/code-of-conduct/
2 attendees
Past events
245
