WORKSHOP
Hands-On with Neo4j and OpenAI: Building Generative AI Solutions
24th OCT 2024 | 03:30 PM to 06:00 PM
Venue: Workshop Room 1, NIMHANS Convention Centre, Bangalore
FEES: • Rs.299 for Pro pass holders • Rs2699 for Standard Pass holders • Rs2999 for all others (Limited seats available)
This hands-on lab introduces data scientists and engineers to Neo4j and OpenAI. Participants will deploy Neo4j, explore regulatory filings data, and learn how to use generative AI to parse and load datasets.
Siddhant Agarwal
Developer Relations Lead - APAC, Neo4j
Alison Cossette
Developer Advocate, Neo4j
- Developers interested in Neo4j and AI
- Participants will deploy Neo4j, explore regulatory filings data, and learn how to use generative AI to parse and load datasets.
- Attendees will build a knowledge graph and develop a chatbot utilizing LangChain and vector search for semantic queries.
- The workshop will analyze asset managers' holdings, highlighting the relationships using Neo4j’s tools.
- Laptop: Attendees should bring their own laptops.
- Willingness to Learn: An open mind and a willingness to learn and apply new concepts.
- Some knowledge about Neo4j’s tools.
Benefits/Takeaways of this workshop for the attendees (What will attendees do after attending the workshop which they were not able to do before attending this)
Participants will gain practical knowledge applicable to capital markets or broader ML workflows, leveraging Neo4j’s generative AI capabilities for feature engineering and data exploration.
About Speakers
A design thinker at heart, he loves working with startups and helping them scale in UX and improve their designs. I am one of ACM’s Distinguished Speakers among 200+ speakers worldwide and 20+ in India. With over 8 years of industry experience, I have literally spent my entire career in building, scaling and growing communities in India and have found my passion in launching ed-tech initiatives, design innovation, growing startup ecosystem and building for the next billion users.
Alison Cossette is a Data Science Strategist, Educator, and Developer Advocate at Neo4j, specializing in Graph Data Science. With a strong background in AI and ethical AI practices, Alison bridges complex data concepts with real-world applications. She did Master’s studies at Northwestern University and has conducted research with Stanford’s Human-Computer Interaction Crowd Research Collective. Passionate about responsible AI, Alison engages with professionals, policymakers, and the public to promote ethical AI development. She also hosts a podcast, driving innovation and education in data science and AI, making her a respected figure in the field.