Neo4j GenAI Hands-On Lab with
Google Cloud & Deloitte in Copenhagen

Thursday, 12 December
1.30 PM CET
Sankt Petri Passage 5 , 2.th , 1165 København K , Denmark

About this event

Neo4j GenAI Hands-On Lab with Google Cloud - Copenhagen

Join Neo4j, Deloitte and Google Cloud experts for a hands-on lab for data scientists and engineers where you will learn how to use graph technology to build intelligent, context-driven applications with lightning-fast queries and real-time insights. You will:

  • Load real-world data from Google Cloud into Neo4j's graph database
  • Create a graph for export to Vertex AI
  • Layer a generative AI chatbot powered by Vertex AI and LangChain over a knowledge graph
  • Use Cypher queries to explore relationships and analyze data

Network After the Lab!
Food and beverages will be served. This event is free but space is limited. Register today!

Requirements

  • Bring a laptop with a web browser to access the Google Cloud Console and port 7474 on a Neo4j deployment running on Google Cloud.
  • If your laptop has a firewall you can't control, consider bringing your personal laptop.

Agenda

1:30 PM Registration, Coffee and Snacks

2:00 PM Introductions

Neo4j GenAI Hands-On Lab with Google Cloud Vertex AI

    • Introduction to Neo4j - Lecture and hands-on lab
      • Deploy, connect, moving data, exploration
    • Vertex AI, Neo4j and Generative AI
      • Parsing data, chatbot, semantic search

Questions and Next Steps 

5:00 PM Networking Reception

Location
Sankt Petri Passage 5 , 2.th , 1165 København K , Denmark

Sign up

Speakers
Lee Razo Image

Lee Razo
Senior Cloud Partner Architect EMEA, Neo4j

Lee heads up Neo4j’s Partner Architecture activities across the EMEA region. He works in close partnership with Google regional Cloud Architects and Customer Engineers to design and deliver high-impact end-to-end AI and data management solutions for their customers. With a background in cloud infrastructure, data storage and data protection he has extensive experience managing enterprise data from every layer of the organization.
Alejandro Montenegro Image

Alejandro Montenegro
GenAI Solutions Architect, Google

Alejandro brings two decades of experience in the tech space. He is passionate about exploring state of the art technology to solve real world problems that scale to millions of users.

His expertise relies on Cloud Computing, Big Data and Machine Learning, on a daily basis he works with fortune 500 companies in implementing GenAI solutions for different use cases.

Nikolas Karvounis Image

Nikolas Karvounis
Manager, AI & Data, Deloitte

Nikolas Karvounis is a Machine Learning Engineer with extensive experience in designing, developing, and deploying large-scale machine learning solutions.

He has a background in computational methods, data science and software development.

Nikolas has been working across various industries, including Financial Services, Oil & Gas, Maritime and Consumer.