# AI automation in products

Published articles for AI automation in products.

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## Why streaming is the backbone for AI-native data platforms

DevFeed: [Why streaming is the backbone for AI-native data platforms](<https://devfeed.tech/articles/why-streaming-is-the-backbone-for-ai-native-data-platforms-12775.md>)

Original publisher: [Read original article](<https://www.redpanda.com/blog/streaming-backbone-ai-data-platforms>)

Author: Tyler Rockwood

Published: 2025-06-24T00:00:00Z

Content type: article

Language: en

Sources: [Redpanda](<https://devfeed.tech/sources/redpanda.md>)

Topics: [Streaming](<https://devfeed.tech/topics/streaming.md>), [data-platforms](<https://devfeed.tech/topics/data-platforms.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>), [Data analysis](<https://devfeed.tech/topics/data-analysis.md>), [Embeddings](<https://devfeed.tech/topics/embeddings.md>), [SQL](<https://devfeed.tech/topics/sql.md>), [dashboards](<https://devfeed.tech/topics/dashboards.md>), [personalization](<https://devfeed.tech/topics/personalization.md>), [Development](<https://devfeed.tech/topics/development.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [ai-and-data-warehouse-evolution](<https://devfeed.tech/tags/ai-and-data-warehouse-evolution.md>), [ai-automation-in-products](<https://devfeed.tech/tags/ai-automation-in-products.md>), [ai-data-analysis-automation](<https://devfeed.tech/tags/ai-data-analysis-automation.md>), [ai-enhanced-product-development](<https://devfeed.tech/tags/ai-enhanced-product-development.md>), [ai-native-data-platforms](<https://devfeed.tech/tags/ai-native-data-platforms.md>), [ai-product-integration](<https://devfeed.tech/tags/ai-product-integration.md>), [ai-technology-integration](<https://devfeed.tech/tags/ai-technology-integration.md>), [dashboards](<https://devfeed.tech/tags/dashboards.md>), [data-analysis](<https://devfeed.tech/tags/data-analysis.md>), [data-platforms](<https://devfeed.tech/tags/data-platforms.md>), [data-platforms-for-ai-scalability](<https://devfeed.tech/tags/data-platforms-for-ai-scalability.md>), [development](<https://devfeed.tech/tags/development.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [modern-data-warehouse-ai](<https://devfeed.tech/tags/modern-data-warehouse-ai.md>), [personalization](<https://devfeed.tech/tags/personalization.md>), [real-time-ai-personalization](<https://devfeed.tech/tags/real-time-ai-personalization.md>), [sql](<https://devfeed.tech/tags/sql.md>), [streaming](<https://devfeed.tech/tags/streaming.md>), [streaming-for-ai-data-platforms](<https://devfeed.tech/tags/streaming-for-ai-data-platforms.md>), [structuring-data-lakes-with-ai](<https://devfeed.tech/tags/structuring-data-lakes-with-ai.md>), [thought-leadership](<https://devfeed.tech/tags/thought-leadership.md>)

### AI overview

The article argues that streaming is the backbone of AI-native data platforms. It presents the modern data warehouse as a central source of context for AI and describes how AI can support analysis, dashboards, SQL queries, trend detection, embeddings, personalization, recommendations, automation, and faster product development. It also emphasizes guardrails and performance measurement for AI-driven automation.

### Source excerpt

To power AI at scale, organizations must adapt to the evolving role of the modern data warehouse. Here's what you need to keep up in a rapidly evolving industry.