Frankfurt Developer Meetup

Learn how AI is reshaping cybersecurity and enterprise transformation—three expert talks on AI-driven security, bottom-up AI agents, and metacognitive LLM prompting. Attendees will learn how to identify AI-enabled cyber threats and defenses, apply an agent-driven framework to surface high-value AI use cases, and use pragmatic prompting to improve LLM sarcasm detection. Ideal for AI researchers, security engineers, data scientists, and product builders. Format: three talks with Q&A, community announcements, and networking. Keywords: AI, automation, agents, LLMs, cybersecurity, builders.

BASTA! Frankfurt (Mar 2–6, 2026) is a conference for .NET, web and AI innovation. Seeking speakers for keynotes, sessions and workshops on .NET, AI, DevOps, cloud and modern developer practices in the Microsoft ecosystem.

AI-driven automation reshaping business processes. Join 260+ leaders in Frankfurt for 2.5 days of RPA, IPA, GenAI & LLM sessions, case studies, and networking to accelerate intelligent automation and reduce costs.

The IDC AI & Data Summit is a full-day conference for senior technology and business executives driving AI and data strategies across Germany. Designed for CDOs, Heads of Data and AI leaders, it delivers strategic insights, keynotes and practical frameworks on AI governance, data sovereignty, MLOps and scaling AI.

Two-day conference (13–14 April 2026) in Frankfurt for news publishers to learn how AI and automation can transform content creation, distribution and audience engagement. Learn practical workflows, case studies and strategic frameworks to deploy AI responsibly in media organisations. Ideal for editors, CTOs, product managers and newsroom leaders seeking hands-on insights into AI agents, automation and audience-first product design. Format: keynote talks, case studies, panel discussions and practical sessions (German & English, translation provided).

Databricks AI Day — a half-day, in-person event with keynote and deep-dive sessions to give practitioners hands-on skills to build and operate analytics, AI, and apps. Learn to get insights from data using natural language, develop quality AI applications while preserving data privacy, and simplify data engineering, governance and user experiences.