Events

Events for you

Conferences, demo days, pitch nights and meetups. Anything we can show a source for is linked back to the page it came from.

All upcoming events

105 listed worldwide, in date order.

Filters2

Build & Learn: From Data Science to AI Engineering Week 3

EventIn person
10:00Europe / Berlin
Octupus Bar, Berlin, Germany
✨Build & Learn: AI with Coffee☕ ✨

📅 Week 3: Build Production ready AI backends This event is part of our seven-week AI Engineering program, where we build an end-to-end AI application step by step and present our finished projects during Demo Day in Week 7. This week, we’ll work through the key layers of a modern AI application: Build APIs with FastAPI and validate everything with Pydantic. Containerize with Docker and work with PostgreSQL for storage. Manage configuration and secrets safely with environment variables. Understand MCP servers and how they extend your AI applications. By the end of the 7 week cycle, you should have a working AI application in your own GitHub repository and practical experience with AI pipelines, APIs, databases, retrieval, evaluation and deployment. You are welcome to follow the shared project or apply the weekly concepts to your own project. ✨ Who is this for? This cycle is designed for data scientists, analysts, software developers and Python users interested in moving toward AI engineering. No previous LLM or AI engineering experience is required. However, you should already understand basic Python or be willing to complete some preparation independently. ✨ Who’s hosting? I’m Lindsey, a senior data scientist working on AI systems, causal inference and data products. I’ve worked on machine learning, uplift modelling, fraud detection and production LLM systems. I care about learning through building—and moving beyond AI hype toward applications that actually work. 💻 Bring: Your laptop, your project and your curiosity. ☕ Please grab a coffee or drink from the Octopus Bar to support the business and thank them for providing the space.

Build & Learn: From Data Science to AI Engineering Week 4

EventIn person
10:00Europe / Berlin
Octupus Bar, Berlin, Germany
✨Build & Learn: AI with Coffee☕ ✨

📅 Week 4: Connect AI to your data with RAG This event is part of our seven-week AI Engineering program, where we build an end-to-end AI application step by step and present our finished projects during Demo Day in Week 7. This week, we’ll work through the key layers of a modern AI application: Learn how to chunk documents and create embeddings. Use a vector database such as pgvector. Build an ingestion pipeline to embed and store documents. Implement similarity search and hybrid search. Learn to evaluate retrieval quality and identify failure cases. By the end of the 7 week cycle, you should have a working AI application in your own GitHub repository and practical experience with AI pipelines, APIs, databases, retrieval, evaluation and deployment. You are welcome to follow the shared project or apply the weekly concepts to your own project. ✨ Who is this for? This cycle is designed for data scientists, analysts, software developers and Python users interested in moving toward AI engineering. No previous LLM or AI engineering experience is required. However, you should already understand basic Python or be willing to complete some preparation independently. ✨ Who’s hosting? I’m Lindsey, a senior data scientist working on AI systems, causal inference and data products. I’ve worked on machine learning, uplift modelling, fraud detection and production LLM systems. I care about learning through building—and moving beyond AI hype toward applications that actually work. 💻 Bring: Your laptop, your project and your curiosity. ☕ Please grab a coffee or drink from the Octopus Bar to support the business and thank them for providing the space.

Berlin-Partner-Loge "Women Only" zum FIBA Frauen-Basketball-WM Spiel "Frankreich - Nigeria" am

Event
Germany
Berlin Partner for Business and Technology

This event is a women-only gathering in Berlin organized around watching the FIBA Women’s Basketball World Cup game between France and Nigeria. It offers a chance for women interested in sports or networking to connect in a shared social setting. The event combines sports enthusiasm with a community atmosphere focused on female attendees.

Female FoundersNetworking

Hybrid Analytics - Fabric + Azure Services

EventOnline
18:30Europe / Berlin
Online, Germany
Data & AI for Intelligent Cloud Hamburg

🎯 The Problem: Your company has millions invested in Azure Data Factory, Databricks, and Cosmos DB. Now leadership wants Fabric. Do you throw everything away? Migrate? Run both? 💡 This Evening: We'll show you how Fabric integrates WITH your existing Azure investments - not against them. Hybrid architectures are powerful, and OneLake is the bridge. ⏱️ Save yourself: The pain of "rip and replace." Most Fabric success stories COMBINE services, not replace them. What you'll learn: 🌊 OneLake Deep Dive \- The universal data lake behind Fabric\, and WHY OneLake uses ADLS Gen2 protocols \(your existing tools still work\!\) 🏭 Azure Data Factory + Fabric \- When to use ADF vs Fabric Pipelines\, and WHY ADF still makes sense for complex hybrid scenarios ⚡ Azure Databricks + Fabric \- Unity Catalog \+ OneLake integration\, and WHY Databricks users should care about Fabric \(best of both worlds\) 🌍 Cosmos DB Mirroring \- NoSQL data in your analytics platform\, and WHY mirroring beats ETL for Cosmos \(near real\-time\, no code\) Integration Pattern: Azure Services (ADF, Databricks, Cosmos DB, ADLS) ↔ OneLake (Shortcuts) ↔ Fabric (Lakehouse, Warehouse, Eventhouse) Who should attend: Azure architects planning Fabric adoption, Data engineers with existing Azure investments, Teams evaluating Fabric vs Databricks Agenda: 18:30 \- Welcome & Networking 18:45 \- OneLake Deep Dive 19:05 \- ADF \+ Fabric Integration 19:25 \- Databricks \+ OneLake 19:40 \- Cosmos DB Mirroring Demo 19:55 \- Q&A and Discussion 20:00 \- Networking

Wie schließt man die Lücke zwischen ‚bekannt sein‘ und ‚gewählt werden‘?

EventFundraisingPolicy & Ecosystem
Germany
Business Angels Netzwerk Deutschland e.V. (BAND)

This event explores the gap between being known and being chosen, targeting startup founders and investors interested in improving visibility and selection success. It focuses on strategies that help transform recognition into actual support or votes. Attendees can gain insight into enhancing their chances in competitive environments.

FoundersInvestorsTalks & PanelsOperators

Architecting Trusted Agents: Turning Knowledge Graphs into Secure Policy Engines

EventAI & Machine LearningDeep TechPolicy & EcosystemOnline
08:00Europe / London
Online, Germany
Graph Database - DACH (Germany, Austria, Switzerland )

This event explores how to convert knowledge graphs into secure policy engines to enable AI agents to provide accurate, data-grounded responses. It targets developers, AI practitioners, and technology professionals interested in trusted AI systems. Attendees will learn about improving AI reliability and enforcing security through knowledge graph architectures.

Talks & PanelsOnline

AgenTrust: From Governance Decisions to Verifiable Agent Actions

EventAI & Machine LearningOnline
19:00Europe / Berlin
Online, Germany
GenAI Gurus - Generative Artificial Intelligence

This online event covers agent governance tools that verify what actions were requested, authorized, and executed. It is aimed at those interested in improving trust and transparency in automated agent systems. Attendees will learn about the challenges and solutions for verifiable agent actions in governance.

Wie kann ich ein Startup in Schwierigkeiten restrukturieren und gleichzeitig den Cap-Table reparieren?

EventFundraising
Germany
Business Angels Netzwerk Deutschland e.V. (BAND)

This event focuses on restructuring startups facing difficulties and repairing their capitalization tables simultaneously. It is intended for founders, investors, and operators dealing with startup financial and ownership challenges. Attendees can learn strategies for managing troubled startups and restoring order to equity distribution.

FoundersInvestorsSeedOperators