Enterprise organizations are increasingly turning to artificial intelligence (AI) to solve problems and improve their core processes such as fraud detection, customer analytics, and real-time recommendations. Many are also exploring the convergence of generative AI and cloud technologies to drive business innovation.
Join Neo4j and Google experts to learn how to use graph technology to build intelligent, context-driven applications with lightning-fast queries and real-time insights that are more scalable than those built on traditional databases.
During this hands-on lab designed specifically for data scientists, data engineers and cloud architects, we’ll walk you through deploying Neo4j and Google Cloud Vertex Generative AI. We’ll then get hands on with a real world dataset and use generative AI to parse and load data and layer a chatbot powered by Vertex AI and LangChain over the knowledge graph. You’ll come out of this lab with enough knowledge to apply graph generative AI to your own datasets.
The event is free but space is limited, so register today!
** Please note: You will need to bring your laptop for the session and the session will not be recorded or simulcast. **
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.
Ben leads the partner architecture team at Neo4j, working closely with our cloud partners to build better-together solutions, making it easier for our customers to quickly get value from Neo4j on Google Cloud. He has a Masters Degree in Statistical Learning Theory. During his career he’s worked on everything from original work in polychotomous support vector machines to real-time bond pricing systems.
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