Conference Description
Key Takeaways
- Conference focused on bridging the gap between AI research and production deployment
- Sessions led by practitioners from Meta, Hugging Face, LangChain, and IBM Research
- Designed for data scientists, ML engineers, technical leaders, and executives evaluating AI strategies
- Features workshops, executive roundtables, live demos, and structured networking
- AI Expo and Demo Hall provides vendor evaluation opportunities for enterprise procurement
About the Event
ODSC AI West 2025 is an in-person conference bringing together practitioners, researchers, and organizations working in artificial intelligence, machine learning, and data science. The event emphasizes practical implementation over theoretical discussion, with sessions delivered by engineers actively building and deploying AI systems in production environments.
Technical Focus Areas
The conference covers AI infrastructure, machine learning engineering, and production AI systems. Sessions span foundational research through to hands-on deployment, with representation from companies including Meta, Hugging Face, LangChain, and IBM Research. The program addresses build versus buy decisions for AI tools and provides real-world case studies from organizations scaling AI in enterprise environments.
Format and Networking
The event combines workshops, technical sessions, executive roundtables, and live demonstrations. Structured networking activities connect practitioners with peers across industries. The AI Expo and Demo Hall features vendors including Google, Databricks, Microsoft, Datadog, MinIO, JetBrains, and Zilliz, providing opportunities for technology evaluation.
Who Should Attend
ODSC AI West targets data scientists, machine learning engineers, AI researchers, and technical leaders responsible for AI strategy and implementation. Executive sessions and leadership summits cater to decision-makers from technology, finance, healthcare, and other sectors adopting AI. The event serves professionals seeking to stay current with AI advancements and those evaluating tools and infrastructure for production deployment.