Machine Learning Week presents HYBRID AI 2026, a focused conference in San Francisco that explores how to combine predictive analytics and generative AI so that AI systems deliver reliable value in production. The event brings together practitioners, data scientists, machine learning engineers, and business leaders to share case studies, deployment patterns, and lessons learned for machine learning and hybrid AI systems. Sessions look at practical architectures, reliability techniques, governance, and ways to move from pilots to real world impact.
Conference Information
Conference Highlights
•Practical hybrid AI conference that connects machine learning and generative AI with proven approaches for reliable deployment in real business environments.
What It's Known For
Known for applied sessions, case studies, and leadership level talks that focus on measurable impact from machine learning and predictive analytics in many industries.
Target Audience
Data scientists, machine learning engineers, analytics leaders, AI product managers, technical decision makers, consultants, and business stakeholders who oversee machine learning and AI projects.
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