AI in Action: AI Knowledge Graphs & AI Energy Trading

Dear Data Enthusiasts,
Join us this time at Medical University of Vienna on the 27th of November to dive deeper in the world of Graphs and AI Agents and AI to advance Energy innovation.

Plug-and-Play AI Memory with Neo4j Knowledge Graphs & AI Agents
AI agents are becoming core to modern applications, from copilots that assist knowledge workers to autonomous systems that manage complex workflows. Yet one major challenge remains: memory. Without it, agents lose context, forget past interactions, and often hallucinate - undermining trust and reliability. In this session, you’ll learn how to use a plug-and-play Neo4j knowledge graph as a powerful memory layer for your AI agents. Knowledge graphs capture not just facts, but relationships, allowing your agent to build a living model of conversations, decisions, and data over time. Combined with modern AI services, this approach helps ground responses, reduce hallucinations, and create a feedback loop where agents become more adaptive, contextual, and trustworthy. Through a live demo, we’ll show how to connect graph-powered memory into your AI workflows with minimal setup, so you can build copilots and agentic applications that don’t just respond in the moment, but remember, learn, and evolve with your users.

Zaid Zaim, Developer Advocate at Neo4j
As a Developer Advocate at Neo4j, I help developers harness the power of graph technology and AI. A Microsoft MVP and global speaker at events like TED, Microsoft Build, and WeAreDevelopers, I focus on making complex tech accessible through content, community, and hands-on support. My mission is to connect, empower, and inspire developers to build impactful solutions.

Cross-Market Optimization for Batteries and Flexible Assets
This presentation will provide a technical introduction to cross-market trading signal generation: continuous data ingestion, forecasting, and optimization to coordinate batteries and flexible assets across reserve, intraday, and day-ahead markets.

Gabriele Libardi, Co-Founder at Marbl. - Machine learning engineer
Gabriele Libardi is a data-driven AI professional based in Vienna, currently at Marbl. With a strong foundation in knowledge graphs and applied machine learning, he focuses on leveraging semantic data architectures to drive scalable AI solutions. Gabriele thrives on bridging complex technical concepts and real-world business value, enabling smarter systems across industries.

! Note that admission is based on an RSVP list and this is a small and cozy event limited to 40 places! Please make sure that you RSVP and that you have a human-like name set up on [Meetup.com](http://meetup.com/) :)

🎤🎤 Open Mic
We are going to open up the stage after the talks for community announcements. If you'd like to announce something, open this slide deck, make sure you are signed in with a google account, and click "View Only" -> "Request Edit Access". Explain in the text box what you want to announce, and we'll give you edit access to the slide deck.
🎤🎤

We’ll have some food and drinks after the event.

Please note that during the event, photos might be made and later posted on VDSG's social media page. Please notify us if you do not agree.
Attention attendees with food allergies. Please be aware that the food and drinks provided may contain or come into contact with common allergens, such as dairy, eggs, wheat, soybeans, tree nuts, peanuts, fish, shellfish, or wheat.
Best,
The Organizer Team