Applying AI Events in Amsterdam

During the workshop you will learn how to prepare your data so your agent isn't flying blind. We'll work through examples, cleaning and contextualizing tabular data, chunking documents intelligently and building habits for reviewing AI-generated code with confidence.

Agenda
- 18:00 Doors Open
- 18:30 Start of the Workshop
- 20:00 Workshop Closing & Announcements
- 20:10 Networking
- 21:00 Event Closing

GitHub Repo
https://github.com/pyladiesams/feed-AI-agentic-beast-proper-data-jun2026

Stream
YouTube Stream

Speaker
Jessica Eggen
Jessica Eggen is a Data Analytics Engineer who loves to spent her time wrangling and puzzling with real-world data at scale. With a background in Business Analytics and machine learning she hopes to bring a practical, business-grounded perspective to AI.

​📧 Contact
Are you interested in speaking at one of our events? Have a good idea for a Meetup? Get in touch with us at amsterdam@pyladies.com

​💬 Find us on the PyLadies Global workspace:

1. ​https://slackin.pyladies.com enter your email address.
   Accept the email invitation
2. ​Go to workspace https://pyladies.slack.com
3. ​Join channel #city-amsterdam

⚠️ Important Note:
PyData Amsterdam is transitioning to Luma. ✨

• Please subscribe to PyData Amsterdam on Luma: https://luma.com/pydataamsterdam
• And register at the Luma link for this event : https://luma.com/1zt31rv6

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🎬 From Clean Data to Big-Screen Agents: Meet us at Cinema The Pulse! 🎬

Our last meetup tackled scaling data pipelines for pristine data quality. Now that the data is clean, let's make it actionable.

We are thrilled to announce our next meetup on Thursday, June 25th, 2026, hosted by ManyChat!

We are taking over Amsterdam's premium Cinema The Pulse! No office rooms this time, architecture diagrams are getting the full, high-fidelity big-screen treatment.

🔍 The Focus: Production-Grade Agents
Anyone can prompt a model to generate a basic SQL query in a demo. Building a trustworthy system that safely queries everything from company business metrics to critical treasury data is a completely different challenge. We are peeling back the architecture of real, production systems, including a tool built on Claude Code that lets non-technical users bypass the analyst queue by simply typing /ask.

You will learn the exact engineering patterns needed to transition from prototype to production:

• Open Architecture: Designing thin-client plugins, FastAPI services spawning headless Claude, and a "brain" repo for metric definitions.
• Smart Routing: Directing plain-English questions to the right business domain and handling multi-turn follow-ups seamlessly.
• Security & Isolation: Enforcing multi-tenant data isolation, blocking destructive SQL, and preventing prompt injections.
• Reliability Tactics: Taming hallucinated columns with curated views and handling schema drift in highly regulated fintech industries.

Excited to see how production-grade agents actually work under the hood? Space is limited in the theater, so grab your seat now for an evening of high-signal engineering insights, cinematic views, and great networking with the PyData Amsterdam community!

Agenda:

• 18:00 - 18:55: Welcome with food and drinks! 🍺🍕
• 18:55 - 19:00: Host company intro - Manychat
• 19:00 - 19:45: Talk 1: Answers You Can Question: Building a Trustworthy Self-Service Analytics Agent by Alex Litvinov
• 19:45 - 20:00: Short break
• 20:00 - 20:45: Talk 2: From chat to insight: reliable AI agents for financial data by Niels Neerhoff
• 20:45 - 21:30: Networking & drinks

Talk 1 : Answers You Can Question: Building a Trustworthy Self-Service Analytics Agent
By Alex Litvinov

Talk Summary
At Manychat we built an analytics agent on top of Claude Code that lets non-technical employees ask data questions in plain English—no SQL, no analyst queue. A teammate types /ask and a question; the agent clarifies it if needed, routes it to the right business domain, writes guarded SQL against curated views, and returns a formatted answer—multi-turn, so follow-ups just work.

This talk walks the build from prototype to production. We’ll open up the architecture—a thin client plugin, a FastAPI service spawning headless Claude, and a “brain” repo of always-on rules and per-domain metric definitions—and the hard parts: routing questions to the right domain, taming hallucinated columns with curated views, blocking destructive SQL, and scoping data access safely.

Bio
From bioinformatics to backend systems, Alex has spent 15+ years building data-heavy software across healthcare and science. Today he’s a Data Engineer at Manychat, working where platform data engineering meets ML/AI.

Talk 2 : From chat to insight: reliable AI agents for financial data
By Niels Neerhoff

Talk Summary
With the rise of chat interfaces, users increasingly expect to interact with their data in plain English. Large language models make this possible, but deploying a model against financial data introduces risks.

This talk walks through the engineering challenges of building a natural language interface for treasury data: the kind of tool where a CFO can ask, "What's our net cash position this quarter?" and get a trusted answer, without writing any SQL.

We'll cover topics such as multi-tenant data isolation, schema drift, prompt injection, and why you can't rely on the model to enforce access control. Drawing on production experience at Palm, a fintech platform for cash flow forecasting and treasury management, we'll look at the patterns that make NL-to-SQL agents reliable enough for users in a regulated industry. You'll leave with concrete techniques for building agents that are capable, and safer to ship.

Bio
Niels is a software engineer working on data and AI, with an interest in reliable, autonomous systems. He cares about architecture, testing, and automation. When not working, you'll find him on his gravel bike, or listening to all sorts of music.

Directions
📍 Cinema The Pulse, Hildegard Von Bingenstraat 4, 1081 LH Amsterdam, Netherlands Hall #4. Just a 5 min walk from the Amsterdam Zuid train station.

🎙️🎙️ Get excited for the July meetup! On July 7th, we'll be renting out the Boom Chicago comedy theater (Amsterdam's largest comedy theater) for a really special meetup!

🎨🎥 You've asked for a meetup on how to use AI to be more creative in both your personal life and at work, and it's finally happening! Get ready to get inspired! The goal of this meetup is to help you learn from top creatives who use AI every day on, well, how to use AI be more creative! And since we're at a comedy theater this month, we'll also have a little more "fun" than normal 🙂.

🎤🎤 We’re lining up a really great panel for the July meetup, including:

• Rhys Davelaar, Executive Creative Director at Publicis, the largest advertising/marketing agency in the world.
• Chrissie Cremers, AI Creative & Co-Founder at Aigency Amsterdam. Aigency Amsterdam is an award-winning agency and creative studio specializing in AI-generated media.
• A panelist specializing in AI in music at one of the "big three" record labels. He's still going through all the internal approvals - we'll announce the third panelist soon!

🅰️ℹ️ We hope to see you there! For those who are new to the meetup, the AI on the Amstel meetup is a monthly meetup that features knowledgeable speakers discussing "in the weeds" AI topics and challenges. We get 250-400+ people a month depending on the size of the venue that month. Founded in 2024, the meetup has almost 6,000 members and a 4.7/5 rating.

📣📣 Finally, a shout-out to our new meetup sponsor — Alibaba and Qwen! Qwen is the leading AI model in China. Want to learn more? Reach out to Kas or Daniel from the team based in the Netherlands.

Join us for a meetup together with MLOps Community, and with talks from Devoteam, Boxd.sh and Elastic. We will share some pizzas and drinks afterwards.

Agenda:
17.45: Doors open
18.00: AI-Driven SRE Observability Solution with Elastic
18.40: The next compute primitive: a serverless container
19.20: Agent Building with Elasticsearch
20.00: Networking with pizza and drinks
20.30: Wrap up

Talks:
AI-Driven SRE Observability Solution with Elastic
This talk will illustrate how the health check script and the LangGraph AI agent work together to provide autonomous diagnostics for Elasticsearch deployments. The solution provides clear insights into what happened, why it occurred, and how it can be resolved. It is built around Elastic and is capable of monitoring and responding to issues, including those related to Elastic deployments.

Speaker: Prince Sharma: Senior Consultant - Observability @Devoteam

The next compute primitive: a serverless container
The cloud split compute into two bad primitives. VMs that are safe but slow. Serverless functions that are fast but stateless. We built a third option: composable, hardware-isolated microVMs that suspend to zero, resume in 10ms, and fork their entire state (memory, disk, network) on demand. Ships as a single Rust binary with zero external dependencies. We'll walk through the architecture and do a live demo.

Speaker: Azin: Co-Founder @ Boxd.sh

Agent Building with Elasticsearch
Speaker: Sander Philipse, Principal Software Engineer @Elastic

We’re excited to announce the second edition of Cloud Native Platform NL.

Join us on Wednesday, July 15, 2026 at Wibautstraat 200, Amsterdam, for an evening of practical talks, good conversations, pizza, and drinks with the fellow platform engineers and cloud-native enthusiasts.
This edition focuses on two themes that are becoming increasingly important for modern engineering teams: securing AI systems in production and building platform foundations that scale without creating long-term technical debt.

Talk 1: How to Secure & Optimize Your RAG pipelines with Fine Grained Authorization

It’s time for Day 2 Ops in the world of AI.
Building enterprise-ready AI poses challenges around data security, scalability, and integration, especially in compliance-regulated industries. The primary mitigation strategy is to build guardrails around Retrieval-Augmented Generation (RAG) to safeguard data while also optimizing query response efficiency.
This session will cover how modern permissions systems can safeguard sensitive data in RAG pipelines. We'll start with why Authorization is critical for RAG pipelines to protect sensitive data from potential vulnerabilities and also the various techniques for permissions-aware data retrieval including prefiltering, and post-filtering vector databases. The principles in this talk can also be used to apply authorization for AI Agents.
The talk will also include a practical demo implementing fine-grained authorization for RAG using Pinecone, Langchain, OpenAI, and SpiceDB.

About the speaker:
Sohan is a Lead Developer Advocate at AuthZed, based in the Netherlands. He started his career as a developer building mobile apps and has been living in the cloud since 2013, in companies such as Amazon, Fermyon and Gupshup. He is also an O' Reilly author, having created a course on Cloud Concepts for Everyone. He has always been interested in emerging technologies and how it shapes the world around us.

Talk 2: Shaky Ground: Infrastructure Mistakes That Create Tech Debt — and How AI-Powered Platforms Fix It.

Every engineering team hits the same trap: infrastructure decisions that work today become painful bottlenecks tomorrow. Shortcuts pile up into tech debt, outages, and teams that can't ship.
This talk covers the most common infrastructure mistakes and how platform engineering and Internal Developer Platforms (IDPs) provide a way out — including how different Kubernetes architectures affect scalability and team autonomy.
The highlight: a live demo showing how anyone can extend the platform by simply writing a skills.md or agents.md file, instantly adding new tools, business apps, and AI-powered workflows — no deep platform knowledge required.
Walk away with practical ideas for building systems that grow with your business without slowing your team down.

Key Topics:

• What IDPs are and why starting early pays off
• Golden paths and self-service tools that keep teams fast and infrastructure consistent
• Kubernetes architecture trade-offs: scalability, cost, and autonomy
• GitOps and automation to eliminate repetitive manual work
• Extending your platform with AI agents — adding new tools and apps through simple markdown files

About the speaker:
Mojtaba Imani is a Golden Kubestronaut and platform engineering consultant at Xebia, and the creator of Kuberise.io, an open-source IDP for Kubernetes. He helps companies reduce technical debt, improve developer experience, and build platforms that scale — without everything falling apart later.

Who should attend?

• Platform engineers
• DevOps engineers
• SREs
• Cloud architects
• Engineering managers
• CTOs
• Developers interested in platform engineering and scalable infrastructure

Agenda

• 18:00 Arrival with pizza and drinks
• 18:45 Talks and discussion
• 20:30 Last round of drinks
• 21:00 Building closes

Whether you are working on cloud platforms, Kubernetes, cost optimization, developer platforms, or AI infrastructure, this meetup is for you.

Artificial Intelligence (AI) conference in Amsterdam, Netherlands