Decoding the Generative AI Landscape: A Deep Dive into RAGs & Graphs

Welcome to our July meetup titled, "Decoding the Generative AI Landscape: A Deep Dive into RAGs & Graphs"

Get ready to dive deep into the world of connected data with GraphDB Sydney User Group, Sydney's premier user group powered by Neo4j. Join us on July 31st for an evening of exploration, learning, and networking as we uncover the power of graphs.

Whether you're a seasoned graph enthusiast or just starting your journey with Neo4j, this meetup is the perfect opportunity to connect with like-minded individuals and expand your knowledge.

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:
🎤 Dr. Ava Bargi, Data science Tech Lead @ Data Analytics Center (DAC) NSW government
Talk Title: A Graph-RAG chatbot to democratise deep and hierarchical data
Speaker Bio: Ava has started her career as a software engineer, morphing into an ML researcher (PhD in 2016), and later into data science.
She has worked as a data scientist for more than 9 years, working in bank, insurance and customer domains for 6-7 years and NSW government in the past 3 years, where among other things, she has explored and developed tools and analyses using graph data science. The particular intersection between LLMs and knowledge Graphs has been one of her recent passions, proving to be a potent means for responding to major customer challenges, and providing intelligent access to deeply hierarchical data.

🎤 Payam Mokhtarian, Co-founder and Engineering Director @ NEOXA
Talk Title: Understanding the Power of Graph Data Science and Graph Neural Networks
Talk Description: I will discuss the transformative power of graph machine learning, focusing on graph neural networks (GNNs). I will highlight how GNNs excel in fraud detection, cybersecurity, and supply chain management by identifying patterns, defending against cyber threats, and optimising logistics. I will also compare the advantages of GNNs over traditional machine learning, emphasising their superior handling of relational data and complex interactions. Additionally, I will explore the role of graph machine learning in enhancing generative AI, showcasing its potential to produce more coherent and contextually relevant outputs.
Speaker Bio: Payam is the Co-founder and Engineering Director at NEOXA, a data and AIOps consulting company. With over 14 years of experience, he specialises in machine learning, AI product development, data platforms, ML/AI best practices, and academic research. At NEOXA, Payam collaborates with global independent software vendors to help organisations adopt best practices in MLOps and AIOps.
He has a proven track record of establishing scalable platforms for end-to-end AI/ML applications in fraud detection, money laundering, activity analysis, automated quality assurance, anomaly detection, and pattern recognition. Before NEOXA, Payam held technical director and leadership roles in various enterprises and startups, working across multiple industries, including cybersecurity, insurance, finance, telecommunications, property, and gaming.

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

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

Our lineup of speakers will guide you through fascinating use cases, cutting-edge techniques, and real-world applications of graph databases. From recommendation engines to fraud detection, we'll explore how graphs are transforming industries and revolutionizing data management.

But that's not all! This meetup isn't just about presentations—it's about collaboration and community. Share your experiences, ask questions, and exchange ideas with fellow graph enthusiasts during our interactive discussions and networking sessions.

So whether you're a developer, data scientist, business analyst, or just curious about the potential of graph technology, join us for this meetup.

See you there!