• Share this post Keep up with us Summary Lakeflow offers an AI-first data engineering platform that allows them to leverage and productionize AI models in their ETL with Agent Bricks AI functionsData engineers can easily orchestrate their AI models at scale with Lakeflow Jobs, automating their ETL pipeline within their enterprise contextFrom fuzzy matching to data extraction and summarization, Lakeflow Jobs users can unlock pipeline use cases and extract new key insights that can power their downstream analytics, BI, and ML use cases • Lakeflow offers an AI-first data engineering platform that allows them to leverage and productionize AI models in their ETL with Agent Bricks AI functions Data engineers can easily orchestrate their AI models at scale with Lakeflow Jobs, automating their ETL pipeline within their enterprise context From fuzzy matching to data extraction and summarization, Lakeflow Jobs users can unlock pipeline use cases and extract new key insights that can power their downstream analytics, BI, and ML use cases • Data engineers are increasingly focused on one core problem: using AI to improve ETL and build reliable, production-grade pipelines without introducing new co

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  • Data engineers are increasingly focused on one core problem: using AI to improve ETL and build reliable, production-grade pipelines without introducing new complexity. They need AI that actually delivers, streamlining workflows without adding disconnected tools or stripping away context. Databricks Lakeflow brings a unified data engineering platform with embedded and secure AI that automates your entire data processing, unlocks more insights, and supports a broader range of business problems. Whether it’s with AI-generated pipeline code or orchestrating AI workloads, data engineers who leverag

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