
"ODSC AI West 2025 brings together the leading voices, tools, and ideas shaping the future of data science and AI. This year's program features a diverse lineup of sessions that go beyond theory to deliver practical, hands-on strategies for tackling today's most pressing challenges - from building production-ready generative AI systems and deploying resilient agentic workflows to advancing data governance, computer vision, and Bayesian modeling. Whether you're a data scientist, engineer, researcher, or business leader, you'll find sessions designed to give you the skills,"
"This keynote challenges the reliance on leaderboard benchmarks and shows why they often fail to reflect real-world AI performance. Drawing on case studies like Meta's LLaMA-4, GPT-4o, and GPT-5, you'll see how models that shine in controlled tests can falter with actual users. Attendees will gain practical strategies to bridge this gap - building internal benchmarks, stress-testing models for domain-specific needs, and monitoring deployed systems for drift, hallucinations, and bias -"
ODSC AI West 2025 emphasizes production-ready AI practices, practical strategies, and hands-on techniques for deploying models and workflows. Reliance on leaderboard benchmarks often fails to reflect real-world AI performance, with models like LLaMA-4, GPT-4o, and GPT-5 performing differently in practice. Practical strategies include building internal benchmarks, stress-testing models for domain-specific needs, and monitoring deployed systems for drift, hallucinations, and bias. Smaller teams can leverage open-source fine-tuning and agentic workflows to deliver meaningful results without chasing headline scores. Multimodal Graph RAG combines images, audio, and other non-text data with graph reasoning to improve accuracy, explainability, and human-like insights.
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