Incidents for Data Teams: Detection, Ownership & On-Call Realities

🙂 This is an in-person event 🙂
⚠️ (Ideally) Register on LinkedIn: [https://www.linkedin.com/events/7429445270809112576/]

***

We’re hosting another panel discussion—but this time, we’re talking about the elephant in the room that nobody likes to bring up!

Let's be completely honest: managing data incidents and building on-call rotations isn't sexy. It is not a shiny new framework, it is not a trendy buzzword, and it definitely does not bring back fond memories. Instead, it usually reminds us of stressful 3 AM pages, silent pipeline failures that went unnoticed for months, and tense debates over who actually "owns" a broken dataset.
Because it is messy and stressful, companies rarely talk about it openly. But at this event, we are finally pulling back the curtain. We will go behind the scenes to see how different companies actually handle production data failures in real life, so you can bring practical tips and hard-won strategies back to your own team.

***

### Some of the things we’ll cover:

• Defining the mess – Drawing the line between a minor data quality issue and a true incident, and deciding who actually owns the fallout when pipelines and models break.
• Detection, observability, and the role of AI – How teams spot silent failures, combat alert fatigue, and how emerging AI tools are actually being integrated into incident detection and management.
• The honest reality of being on-call – A look at how rotations are structured, how teams handle escalation paths, and a candid discussion on on-call burnout in data teams.
• Response, recovery, and blameless culture – What happens in the first 30 minutes of an outage, how to rebuild stakeholder trust, and how to run postmortems that lead to lasting, systemic changes.

***

### 🎤 Meet Our Speakers

We’ll hear from three data professionals working in very different industries, each bringing their unvarnished stories of production data failures—and what they learned from them.

• Rodel van Rooijen – VP Engineering, Data & AI @Palm
• Katalin Nagy – Data Platform Engineer @Adyen
• David Robinson Hayes – Senior Manager Data & ML Engineering @Catawiki

🎙️Moderator: Başak Tuğçe Eskili - ML Engineer @[Booking.com](http://booking.com) & Co-founder @Marvelous MLOps

***

### Why Attend?

• ✨ Get the unvarnished truth: Hear the behind-the-scenes stories and painful mistakes that are usually kept quiet.
• ✨ Go beyond the hype: Skip the slide decks and join an open, practical conversation about what works and what doesn't.
• ✨ Bring home actionable tips: Walk away with concrete strategies to improve your team's alerting, on-call setup, and incident response.

***

### 🍕🥤 Practicalities

• ✔ Drinks & Pizzas (yes pizzas 🍕!!) provided
• ✔ IN-PERSON ONLY (Because real, honest conversations about stressful topics are best had face-to-face!)
• ✔ The panel will open into a broader discussion with everyone attending—your own stories, questions, and 3 AM nightmares are highly welcome!

🚨 Limited Spots Available! To keep the discussion interactive, space is limited. RSVP now to secure your seat.

We look forward to seeing you there! 🚀