# AI in Production: What Breaks, What Works, and Who Approves It? | InfoQ Webinar

DevFeed: [AI in Production: What Breaks, What Works, and Who Approves It? | InfoQ Webinar](<https://devfeed.tech/articles/ai-in-production-what-breaks-what-works-and-who-approves-it-infoq-webinar-66597.md>)

Original publisher: [Read original article](<https://www.infoq.com/news/2026/10/infoq-ai-webinar/>)

Author: Artenisa Chatziou

Published: 2026-10-07T14:00:00Z

Content type: news

Language: en

Sources: [InfoQ](<https://devfeed.tech/sources/infoq.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [human-in-the-loop UX](<https://devfeed.tech/topics/human-in-the-loop-ux.md>), [sensitive data](<https://devfeed.tech/topics/sensitive-data.md>), [AI Context Management](<https://devfeed.tech/topics/ai-context-management.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-engineering](<https://devfeed.tech/tags/ai-engineering.md>), [ai-engineering-certification](<https://devfeed.tech/tags/ai-engineering-certification.md>), [ai-ml-data-engineering](<https://devfeed.tech/tags/ai-ml-data-engineering.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [enterprise](<https://devfeed.tech/tags/enterprise.md>), [infoq](<https://devfeed.tech/tags/infoq.md>), [infoq-ai-webinar](<https://devfeed.tech/tags/infoq-ai-webinar.md>), [ml-data-engineering](<https://devfeed.tech/tags/ml-data-engineering.md>), [news](<https://devfeed.tech/tags/news.md>), [rag](<https://devfeed.tech/tags/rag.md>), [retrieval-augmented-generation](<https://devfeed.tech/tags/retrieval-augmented-generation.md>), [security](<https://devfeed.tech/tags/security.md>), [sensitive-data](<https://devfeed.tech/tags/sensitive-data.md>), [webinar](<https://devfeed.tech/tags/webinar.md>)

## AI overview

InfoQ announces a free panel on the challenges of running AI systems in production. Practitioners will discuss agent autonomy and approval, verification of AI-generated changes, sensitive-data exposure, and operating RAG pipelines beyond demonstrations.

## Source excerpt

On October 14, InfoQ hosts a free 60-minute panel with five practitioners on running AI in production. They'll discuss agent autonomy and human approval, how to verify AI-generated changes, sensitive-data exposure, and production RAG. Registrants can submit questions and will receive the recording. By Artenisa Chatziou