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Explore how to build collaborative machine learning data management systems using Drupal in this Japanese conference talk. Learn to create comprehensive workflows that enable entire teams—including researchers, engineers, content creators, and project managers—to collectively develop and maintain training data for machine learning models. Discover how Drupal can address the critical infrastructure needs for team-based data cultivation, including version control, workflow management, security protocols, access control, and audit logging capabilities. Understand the evolution of machine learning from exclusive research domains to accessible team environments, and examine practical approaches for implementing collaborative data development processes that go beyond traditional technical silos to include diverse stakeholders in the machine learning pipeline.
