Name: MLOps - Production-Ready GenAI Starts with the Right Data Model
Start: 2025-08-21T15:00:00.000Z
Location: AI Sweden

Join us for an exciting evening where **Knowledge Graphs meet Intelligent Agents** to shape the next frontier of AI-driven systems.

In this meetup, we dive into how **graph-powered architectures** are enabling more **context-aware**, **autonomous**, and **explainable agents**. Whether you're building with **LLMs**, working on **data pipelines**, exploring **RAG** frameworks, or simply curious about the evolving agentic paradigm — this is your space to learn, share, and connect.

**The agenda of the evening would be:**
\- 5pm: doors open
\- 5\.30pm: announcements and welcome
\- 5\.40pm: 1st Talk
\- 6\.10pm: 2nd Talk
\- 6:40pm: Networking
\- 7\.10pm: doors close

**Speakers:**
🎤 Stephen Young, Founder and CEO, FactNexus
**Talk topic :** The role of graphs in the AI Agent Internet
**Description :** Steve will use FactNexus' new [retrievable.ai](http://retrievable.ai/) audit service to show what AI agents need (and that graphs can provide or model) to read websites. Whether your focus is AI SEO/AEO/GEO or just making AI agents that work against existing web-sites, graphs will be an important part of the agents' retrieval process.
**Bio :** Steve is founder and CEO of FactNexus and architect of GraphBase - a graph DMBS that FactNexus uses to help organisations capture and formalise knowledge, and to build graph-based software products and services. Steve has nearly two decades of experience working on graph-based solutions for the Health, E-commerce, Defense, Intelligence and Telco sectors.

🎤 Daniela Elia, Strategic AI and Innovation Leader
**Talk topic :** Mapping the Corporate Web: How Graph-RAG and Autonomous Agents Navigate Australian Corporate Law
**Description :** Australian corporate law exists in complex webs of relationships. The Corporations Act 2001 establishes statutory director duties, ASIC Regulatory Guides implement enforcement frameworks, and ASX listing rules create additional governance requirements that cascade through interconnected legal frameworks. This talk demonstrates how knowledge graphs can map connections between corporate laws and how autonomous agents enable sophisticated queries, providing an explainable analysis of the impact of corporate law and identifying cascading liability risks and potential conflicts between statutory duties and regulatory enforcement approaches.
**Bio :** Daniela Elia is a strategic AI and innovation leader with over 15 years of experience in AI solution development and more than 5 years in senior AI leadership roles. She has pioneered the use of generative AI, agentic AI systems, and graph database technologies across high-growth startups and multinational enterprises. A keynote speaker and PhD candidate in Behavioural Data Science at the University of Technology Sydney, she is recognised as one of the 2024 100 Brilliant Women in AI Ethics and actively mentors the next generation of AI professionals.

**We'll explore:**

* How Knowledge Graphs supercharge Agents and LLMs
* Real-world applications of GraphRAG, Semantic Search & Agentic Workflows
* Open discussions, networking, and opportunities to collaborate across ecosystems

Whether you're a **graph geek**, a **cloud-native builder**, or an **AI tinkerer**, come be a part of this conversation.

**Interested to speak at this or future meetups? Fill this form:** [https://dev.neo4j.com/submit-your-talk](https://dev.neo4j.com/submit-your-talk)

**Venue:** Microsoft Reactor Sydney, lvl 10/11 York St, Sydney, NSW 2000, Australia

Graph Database Sydney

Neo4j

Q. Ve

mk1811527

Chris Dandre

Dan Trang

Roxana Jarolimek

Julio Correa

Faramarz

Ava Bargi

Allen Nugent

Zhipeng Liu

Zeshaan Uppal

Rohan Pitiyaratchi

Swapnil Chhatre

Rajesh

Cameron Stuart

Ankit Gupta

Bernice Yeow

Darshana

Agents Unleashed: Connected by Graphs, Driven by Intelligence

Microsoft Reactor Sydney

Season 02 Episode 11 of Going Meta – a Series on Semantics, Knowledge Graphs and All Things AI
Topic:

Jesús Barrasa: [https://twitter.com/BarrasaDV](https://twitter.com/BarrasaDV)
Repository: [https://github.com/jbarrasa/goingmeta](https://github.com/jbarrasa/goingmeta)
Knowledge Graph Book: [https://bit.ly/3LaqE6b](https://bit.ly/3LaqE6b)
Previous Episodes: [https://neo4j.com/video/going-meta-a-series-on-graphs-semantics-and-knowledge/](https://neo4j.com/video/going-meta-a-series-on-graphs-semantics-and-knowledge/)

Graph Database Stockholm

Ali Sedaghatbaf

Odd Möller

Going Meta S02E11 – a Series on Semantics, Knowledge Graphs and All Things AI

Online event

Hands-on Workshop: Getting Started with Spanner-like Databases & Neo4j for Graph Workloads

Speaker: [Ashutosh Bhakare](https://www.linkedin.com/in/abhakare?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app)

Workshop Description:

Ever wondered how companies like Google, Netflix, and LinkedIn manage and analyze billions of relationships in their data? The secret lies in graph databases. This hands-on workshop is your perfect introduction to two powerful but different approaches for handling highly connected data.

We will explore:
* Neo4j: The world's leading native graph database. You will learn the fundamentals of the Property Graph Model, how to think in graphs, and get your hands dirty writing your first queries in Cypher, the intuitive query language for graphs. It's perfect for things like recommendation engines, fraud detection, and knowledge graphs.

* Graph Data in Distributed SQL (like Spanner): Learn the modern approach of modeling and querying graph data within a globally distributed, highly scalable SQL database like Google's Spanner. We'll discuss the pros and cons of this method and when it makes sense to use it for applications requiring massive scale and strong consistency.

What You Will Learn:
* The core concepts of graph data modeling (Nodes, Relationships, Properties).
* How to set up and run basic queries in a Neo4j database.
* The difference between a native graph database and storing graph data in a relational system.
* Practical use-cases for both technologies.
* A foundational understanding to help you decide which tool is right for your project.

Who Should Attend?
* Developers curious about new database technologies.
* Data scientists and analysts working with complex, connected datasets.
* Database administrators looking to expand their skills.
* Students and tech enthusiasts eager for a hands-on learning experience.
Prerequisites: Please bring your laptop fully charged to participate in the hands-on exercises. Further setup instructions will be shared with registered attendees.

RSVP Today! Seats are limited to ensure a quality hands-on experience.

Graph Database Pune

Mayur Rathi

Siddhant Agarwal

Saurabh Mishra

Jitendra Gupta

Nikhil Bangar

Shreya Dhurde

Ronak Panchal

Varun Shukla

Homesh Patil

Prashant Bendale

soniya vadnere

Nimish Mittal 

Sahil Rokade

Sanmarg Sandeep Paranjpe

Jainam

sourabh.p.kadam

Dhiraj Sonawane

Sagar

Harshad Patel

GraphDB Pune - August Meetup

Unnati Development and Training Centre Pvt Ltd Pune

Join us for an exciting evening where cutting-edge Generative AI meets the power of Graph Technology! In **"Beyond Tables: Powering Insights with Graphs,"** we’ll explore how combining large language models (LLMs) with connected data unlocks smarter, more context-aware applications.

**Venue: IMDA, Mapletree Business City**

**The agenda of the evening would be:**
\- 6:30pm: doors open
\- 7:00pm: announcements and welcome
\- 7\.10pm: 1st Talk
\- 7:40pm: 2nd Talk
\- 8:10pm: Networking
\- 8:30pm: doors close

**Speaker: TBA**

Graph Database Singapore

Thiruj

SANTOSH DHURAJI

James Xiao

Leslie Chiang

Amos Fang

Shaney

baiyuan

Lay Mui

Jay Tan

ivan.toh

David Chang

Guai Zi Wei

Qin Xue

Swan

Malik

simmi verma

Hao Wei Goh

Samuel Leau

Adalson Tan

Beyond Tables: Powering Insights with Graphs

IMDA

Register: [https://www.meetup.com/stockholm-mlops-community/events/308547641/](https://www.meetup.com/stockholm-mlops-community/events/308547641/)

**Speaker:**

* **[Håkan Löfqvist](https://www.linkedin.com/in/lqst/)**, Field Engineer at **[Neo4J](https://neo4j.com/)** will give a talk titled **"Production-Ready GenAI Starts with the Right Data Model"**. Abstract: In the age of GenAI you need an intuitive and flexible data model and a powerful query language for connected data. Come and learn the fundamentals of building next generation applications for production with Neo4j.

Luke

Mustafa Elnaquib

Um E Hania

Natalia

Ernesto galarza

MLOps - Production-Ready GenAI Starts with the Right Data Model

AI Sweden

Neo4j MeetUp

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Connect with our diverse Neo4j community: software engineers, data scientists, mathematicians, and academics. We're for anyone interested in learning about and working with graph databases for social, spatial, hierarchical, or other highly connected data sets. We host hands-on lab sessions, technology reviews, topical lectures, and plenty of social beer nights. Curious about graphs or noSQL tech? Join us!

A comprehensive guide to building GenAI applications using Neo4j's KGs.

Building Neo4j-Powered Apps with Gen-AI

Learn about LLMs + Knowledge Graphs, RAG and more

Free Hands-on Online Training

Join the Neo4j experts in the forum for Graph Database knowledge & more!

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Free Hands-on Online Training

Neo4j Community Forum

Building Neo4j-Powered Apps with Gen-AI

Free Hands-on Online Training

Neo4j Community Forum

Building Neo4j-Powered Apps with Gen-AI

Free Hands-on Online Training

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