This infographic outlines how automated data integration supports analytics, machine learning, generative AI, and agentic AI by building a unified data architecture. Fivetran moves data from applications, databases, and event streams into data lakes, where it is normalized, compacted, and transformed. Reporting relies on centralized, modeled data for BI platforms. Traditional AI enables predictive modeling with notebook-based development. Reverse ETL activates data back into source systems for in-line analytics and workflow automation. Generative AI synthesizes insights through vector databases, knowledge graphs, and foundation models, while agentic AI extends this by automating complex workflows.

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