---
title: "Discussion on \"Why AI Agents Need Real-Time Data (And How to Deliver It)\" | Hashnode"
description: "Discussion on \"Why AI Agents Need Real-Time Data (And How to Deliver It)\". AI agents make poor decisions on stale data. Learn how a streaming database delivers sub-second fresh context to your agents using plain SQL."
url: "https://hashnode.com/posts/ai-agents-real-time-data-1/69d53d42002ad788db3877c5"
---

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Discussion

# [Why AI Agents Need Real-Time Data (And How to Deliver It)](https://risingwave.com/blog/ai-agents-real-time-data-1?utm_source=hashnode&utm_medium=feed)

AI agents make poor decisions on stale data. Learn how a streaming database delivers sub-second fresh context to your agents using plain SQL.

Apr 7 · 11 min read · risingwave.com  
Updated Nov 8  
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-   [#ai-agents](https://hashnode.com/tag/ai-agents)
-   [#llm](https://hashnode.com/tag/llm)
-   [#materialized-views](https://hashnode.com/tag/materialized-views)
-   [#real-time-data](https://hashnode.com/tag/real-time-data)
-   [#streaming-database](https://hashnode.com/tag/streaming-database)

## Written by

[Fahad Shah](https://hashnode.com/@fahadshah)

@fahadshah · Pakistan

  
[View profile](https://hashnode.com/@fahadshah)

Developer Advocate | Stream Processing • Iceberg Lakehouses • Real-Time Analytics • Industrial IoT

I am passionate about transforming 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐝𝐚𝐭𝐚 into actionable insights and driving decisions that empower businesses. My core focus lies in 𝐬𝐭𝐫𝐞𝐚𝐦 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠, 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐝𝐚𝐭𝐚 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬, 𝐋𝐚𝐤𝐞𝐡𝐨𝐮𝐬𝐞 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬 (𝐰𝐢𝐭𝐡 𝐀𝐩𝐚𝐜𝐡𝐞 𝐈𝐜𝐞𝐛𝐞𝐫𝐠) and 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐈𝐨𝐓, with a passion for 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 and exploring 𝐝𝐚𝐭𝐚-𝐢𝐧𝐭𝐞𝐧𝐬𝐢𝐯𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 in general. As a Developer Advocate at RisingWave Labs, I wear many hats: 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 𝐂𝐡𝐚𝐦𝐩𝐢𝐨𝐧: I oversee the open-source community and act as a bridge between our developer community and internal teams, ensuring users receive the technical support they need through dedicated engineering assistance in a timely manner. 𝐂𝐨𝐧𝐭𝐞𝐧𝐭 𝐂𝐫𝐞𝐚𝐭𝐨𝐫: I raise awareness and educate a broader audience about RisingWave by crafting engaging content, as well as sharing blogs, demos, integration guides and, share case studies written by the larger team. 𝐏𝐫𝐨𝐬𝐩𝐞𝐜𝐭 𝐀𝐝𝐯𝐨𝐜𝐚𝐭𝐞: I connect with prospects to understand their priorities and challenges, and showcase how RisingWave can add value, driving opportunities for enterprise engagement when available. 𝐏𝐚𝐫𝐭𝐧𝐞𝐫𝐬𝐡𝐢𝐩 𝐁𝐮𝐢𝐥𝐝𝐞𝐫: I help RisingWave forge meaningful partnerships with companies in our space, collaborating to create joint content and solutions that address the needs of our users and customers. 𝐄𝐯𝐞𝐧𝐭 𝐎𝐫𝐠𝐚𝐧𝐢𝐳𝐞𝐫: I collaborate with the community team to host successful community events, fostering user engagement and building relationships with prospects. As a 𝐆𝐫𝐚𝐟𝐚𝐧𝐚 𝐂𝐡𝐚𝐦𝐩𝐢𝐨𝐧 and 𝐒𝐨𝐥𝐚𝐜𝐞 𝐒𝐜𝐡𝐨𝐥𝐚𝐫, I actively contribute to the broader ecosystem of observability and event-driven systems while advocating for technologies shaping the future of the data ecosystem.

## Responses 3

Markdown supported · ⌘↵ to post

[Ali Muwwakkil](https://hashnode.com/@enterpriseaileadersh)

[Apr 7](https://hashnode.com/posts/ai-agents-real-time-data-1/69d53d42002ad788db3877c5/comment/69d55eee7dd05cf983a0f96a)

Real-time data integration is crucial, yet many teams overlook the importance of building robust pipelines that handle continuous data flows. In our experience with enterprise teams, the challenge isn't just about accessing real-time data, but ensuring agents are seamlessly woven into existing systems. Consider using event-driven architectures like Kafka to manage these dynamic data streams effectively. This approach helps AI agents make timely decisions without missing critical updates. - Ali Muwwakkil (ali-muwwakkil on LinkedIn)