Berlin AI Developers Group

AI Webinar - Enterprise Scale with AI-Driven Insights

23 Nis 2026 17:00 CEST

·

Çevrimiçi

Çevrimiçi

Important: Register on the Event Website to receive joining link. (rsvp on meetup will NOT receive joining link).
This is virtual event for our AI global community, please double-check your local time.
Can't make it live? Register anyway to receive the webinar recording.

Description:
Welcome to the weekly AI Deep Dive Webinar Series (Virtual) with Aiven and Google Cloud. Join us for deep dive tech talks on AI, GenAI, LLMs, Agentic AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

Tech Talk: Stop Paying for Analytics. Just Use Postgres. Enterprise Scale with AI-Driven Insights
Speaker: Marko Bocevski (Aiven)
Abstract:The database wars of the 2010s are over. HTAP? Dead. NewSQL? Dead. Streaming databases? Dead. The Cloud Data Warehouse won—but here's the twist: the innovations that made it win (separation of storage and compute, vectorized execution, columnar formats) are now everywhere.

The modern data stack is collapsing into something surprisingly simple: OLTP + Lakehouse. And at the center of it? It’s just Postgres.
In this session, We’ll explore how a massive enterprise manages complex transactional and analytical data without the "tax" of legacy warehouses.
We will demonstrate how to close the loop between transactions and intelligence:

• The Bridge: Writing from Postgres directly to Iceberg tables with zero ETL.
• The Brain: Using Large Language Models (LLMs) to query your lakehouse in natural language, gaining instant insights into complex datasets.
• The Result: A simplified architecture that replaces the "duct tape" of Debezium, Kafka, and reverse-ETL.

What you will learn:
You’ll walk away with:

• Enterprise Insights: How Conrad Electronic navigates data at scale using open-source patterns.
• The AI Layer: Practical workflows for using LLMs to gain insights into your transactional and analytical data.
• The Blueprint: A clear architecture for Postgres + Iceberg + AI integration.
• A live demo!

Speakers/Topics:
Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics
Venue:
virtual, join from anywhere.
Sponsors:
We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 500K+ worldwide.
More upcoming sessions:

• May 26th: NVIDIA FLARE Webinar Q2 - From Static to Elastic: Enterprise FLARE on Kubernetes

Local and Global AI Community on Discord
Join us on discord for local and global AI tech community:
- Events chat: chat and connect with speakers and global and local attendees;
- Learning AI: events, learning materials, study groups;
- Startups: innovation, projects collaborations, founders/co-founders;
- Jobs and Careers: job openings, post resumes, hiring managers

AI builders lab with Nebius Anyscale Tavily

28 Nis 2026 12:00 CEST

Impact Hub Berlin, Rollbergstraße 28A, 12053 Berlin, Berlin, DE

Important: Register on the AICamp event website is required for admission.

Join Nebius, Anyscale and Tavily for deep dives into deploying, scaling, and operating AI systems in production.

Nebius.Build/BER brings together engineers from Nebius and partners including Anyscale and Tavily, with sessions covering distributed training, running open source models in production, and scaling workloads across large GPU clusters. The program includes a mix of technical talks, partner sessions, and a hands-on workshop, where you can deploy your own model and connect it to a working inference pipeline.

Why Attend:
✔ Learn from engineers running production systems on inference scaling, latency optimization, reliability
✔ Hear real architecture breakdowns and implementation details from teams deploying AI at scale
✔ Go deep on infrastructure and performance
✔ Hands-on technical sessions focused on real deployment scenarios

Agenda:

• * 12:00pm~1:00pm: Check-in and Lunch
• * 1:00pm~2:30pm: Tech talks and Q&A
• * 2:30pm~3:00pm: Coffee break
• * 3:00pm~4:00pm: Hands-on labs
• * 4:00pm~4:30pm: Wrap up and closing remarks
• * 4:30pm: Happy hour

Who Should Attend:

• ML infrastructure engineers
• AI / ML platform engineers
• Principal engineers and architects
• Technical startup founders and CTOs
• Developers building or scaling AI systems

Open Source Data Workshop with Aiven and Google

07 May 2026 17:00 CEST

Techspace Eiswerk, Techspace Eiswerk, 40-41 Köpenicker Straße, 10179 Berlin, Berlin, DE

Important: Register on the AICamp event website is required for admission.

Join Aiven and Google Cloud for a hands-on lab to learn building data infrastructure for AI applications in production, and how to run OpenSearch in production for AI and GenAI workloads.
This interactive, instructor-led workshop is designed for developers and data engineers who want to build and run real-world data pipelines using open source tools.
Note: Bring your laptop, we’ll be shipping code together.

Agenda:
* 5:00pm~5:30pm: Check-in, Food, Networking
* 5:30pm~7:30pm: Tech talks and Hands-on Workshop
* 7:30pm~8:00pm: Q&A, wrap-up
​
⚡️ Workshop 1 — Foundations: Build Your Own Pipeline
​Start from scratch and assemble a complete data pipeline using Aiven services.
- Provision and manage services
-Connect systems into a unified pipeline
​- Build an observability setup
- ​Query real-time data across services using SQL
​​
⚡️ Workshop 2 — Advanced: Real-Time Retail Streaming Pipeline
​Go deeper with a real, production-inspired use case.
- ​Design and implement a high-quality streaming pipeline
- Work with real-time retail data flows
- Apply best practices for scalability and reliability

What you’ll learn:

• Deploy and scale OpenSearch for production
• Best practices for vector and hybrid search
• Build efficient real-time data pipelines
• Design and optimize RAG architectures

​Why attend?

• Build a production-style data pipeline
• Learn how to connect Kafka, ClickHouse, OpenSearch, and PostgreSQL into a working, real-time architecture.
• Learn by doing and Apply proven patterns
• Provision services, stream data, and run queries yourself using both UI and CLI workflows.
• Walk away with practical approaches you can reuse for streaming, analytics, and observability use cases.

Who Should Attend:
Developer and data engineer, interested in moving from prototype to production with OpenSearch.