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AI in Production 2027 conference seeks speakers for deployed systems

By PulseAugur Editorial · [1 sources] ·

The call for speakers for the AI in Production 2027 conference is now open, with a deadline of January 29th. The conference, scheduled for June 10-11 at The Catalyst in Newcastle, is seeking presentations on existing, utilized AI systems, focusing on practical aspects like deployment, observability, incident response, evaluation, guardrails, cost, and latency. Submissions from first-time speakers are encouraged, and talks that detail both successes and failures are particularly desired. AI

IMPACT Conference will focus on practical applications and lessons learned from deployed AI systems.

RANK_REASON Conference call for speakers announcement.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI in Production 2027 conference seeks speakers for deployed systems

How we ranked this

Signal score
13 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
Conference call for speakers announcement.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    The call for speakers for AI in Production 2027 is open. We want talks about systems that already exist and get used by someone other than the person who built

    The call for speakers for AI in Production 2027 is open. We want talks about systems that already exist and get used by someone other than the person who built them. Deployment, observability, incident response, evaluation and guardrails, cost and latency. The best ones cover wha…

    LINKS ai-in-production.jumpingrivers.com

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