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"AI agent handles data pipeline updates from Jira ticket to production"

Organizations face challenges adapting data pipelines to business needs. AI-powered tools can automate updates, generate documentation, and streamline workflows, reducing manual coding and boosting productivity. Watch this webcast to learn how AI agents can transform data engineering processes.

Modern data teams face pressure to build, update, and maintain pipelines while managing diverse data sources and ensuring code quality. Manual development is time-consuming and error-prone, creating bottlenecks.

This webinar shows how agentic AI boosts productivity by automating pipeline creation, updates, and maintenance. Using shipment data and weather APIs, viewers will see:

· Automated connector generation and pipeline updates via natural language prompts
· Self-correcting logic with error detection, SQL optimization, and data checks
· Integration with version control for automated commits and deployment

Discover how AI accelerates data engineering.

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