Snowflake’s Post

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Data engineering is complex and time-consuming. Maia, Matillion's new AI agent, changes that. 😎 Built on the Snowflake AI Data Cloud, Maia autonomously builds, optimizes, and maintains data pipelines using simple natural language requests. Combine that with Snowflake Intelligence for self-service analytics, and you get an end-to-end AI workflow that drastically cuts manual work. The result? A 50% reduction in analyst workload, helping smaller teams focus on innovation, not bottlenecks 👉🏻 https://bit.ly/486Pf74

MyongHak J.

Building I.N.G: A real-time video platform where your curiosity becomes income. Let’s connect. (Your curiosity deserves ROI.)| Real-time platform | Shortform | AI video tech

2d

AI agents taking over data pipelines was inevitable, but seeing it actually work at this scale is impressive. Cutting analyst load by 50% isn’t just efficiency; it rewires how teams think about bandwidth. Feels like the “manual era” of data engineering is finally ending.

This is a timely update. Excited to see how this evolves

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Game-changer for data teams! Natural language pipelines sound like magic.

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I painted a canvas for Snowflake, can you please buy that for supporting art ☺️

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Lauretta Okolie

Software Engineer (Backend) | Java • Python • Spring Boot • Kubernetes • Azure • Microservices

1d

Exciting to see AI streamlining data engineering. A 50% reduction in workload can really free up teams to focus on innovation. Kudos to the Matillion team! 😎

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