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Batch data processing is too slow for real-time AI: How open-source Apache Airflow 3.0 solves the challenge with event-driven data orchestration

Open-source data orchestration gets a major rewrite to help support inference and enterprise AI

Organizations now manage intricate pipelines spanning multiple cloud environments, diverse data sources and increasingly sophisticated AI workloads. Another pre-trained model can then be used to analyze the structured time tracking data, determine if the work is billable, then assign appropriate billing codes and rates. Teams currently maintaining separate orchestration tools for different language environments can begin planning a migration strategy to simplify their technology stack.

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