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Join us for a live Speaker Panel with select guests from 2024's NODES conference coming in November.

Guests include:

Sharmistha Chatterjee - Coauthor Platforms and Model design for Responsible AI\, Google Developer Expert\, International Speaker Role of Knowledge Graphs in Mental Health Diagnosis and Cure https://neo4j.com/nodes2024/agenda/role-of-knowledge-graphs-in-mental-health-diagnosis-and-cure/

Panos Alexopoulos - Data and AI Professional\, Textkernel From RDF to LPG and Back: Mastering Knowledge Graph Transformations Without Compromising Meaning https://neo4j.com/nodes2024/agenda/from-rdf-to-lpg-and-back-mastering-knowledge-graph-transformations-without-compromising-meaning/

Charles Borderie - CEO\, Lettria Revolutionizing RAG for Financial Data With Knowledge Graphs https://neo4j.com/nodes2024/agenda/revolutionizing-rag-for-financial-data-with-knowledge-graphs/

Estelle Scifo - Machine Learning Engineer\, Neo4j Measuring the Performance of VectorRAG vs GraphRAG https://neo4j.com/nodes2024/agenda/measuring-the-performance-of-vectorrag-vs-graphrag/

Bill Reynolds - Chief Technical Officer\, Qarbine Leveraging Neo4j Graph Data and AI Across the Application Development and Deployment Lifecycle https://neo4j.com/nodes2024/agenda/leveraging-neo4j-graph-data-and-ai-across-the-application-development-and-deployment-lifecycle/

Register to NODES 2024: https://bit.ly/47VqQkp

Join us for a live Speaker Panel with select guests from 2024's NODES conference coming in November.

Guests include:

Sharmistha Chatterjee - Coauthor Platforms and Model design for Responsible AI\, Google Developer Expert\, International Speaker Role of Knowledge Graphs in Mental Health Diagnosis and Cure https://neo4j.com/nodes2024/agenda/role-of-knowledge-graphs-in-mental-health-diagnosis-and-cure/

Panos Alexopoulos - Data and AI Professional\, Textkernel From RDF to LPG and Back: Mastering Knowledge Graph Transformations Without Compromising Meaning https://neo4j.com/nodes2024/agenda/from-rdf-to-lpg-and-back-mastering-knowledge-graph-transformations-without-compromising-meaning/

Charles Borderie - CEO\, Lettria Revolutionizing RAG for Financial Data With Knowledge Graphs https://neo4j.com/nodes2024/agenda/revolutionizing-rag-for-financial-data-with-knowledge-graphs/

Estelle Scifo - Machine Learning Engineer\, Neo4j Measuring the Performance of VectorRAG vs GraphRAG https://neo4j.com/nodes2024/agenda/measuring-the-performance-of-vectorrag-vs-graphrag/

Bill Reynolds - Chief Technical Officer\, Qarbine Leveraging Neo4j Graph Data and AI Across the Application Development and Deployment Lifecycle https://neo4j.com/nodes2024/agenda/leveraging-neo4j-graph-data-and-ai-across-the-application-development-and-deployment-lifecycle/

Register to NODES 2024: https://bit.ly/47VqQkp

Join us for a live Speaker Panel with select guests from 2024's NODES conference coming in November.

Guests include:

Sharmistha Chatterjee - Coauthor Platforms and Model design for Responsible AI\, Google Developer Expert\, International Speaker Role of Knowledge Graphs in Mental Health Diagnosis and Cure https://neo4j.com/nodes2024/agenda/role-of-knowledge-graphs-in-mental-health-diagnosis-and-cure/

Panos Alexopoulos - Data and AI Professional\, Textkernel From RDF to LPG and Back: Mastering Knowledge Graph Transformations Without Compromising Meaning https://neo4j.com/nodes2024/agenda/from-rdf-to-lpg-and-back-mastering-knowledge-graph-transformations-without-compromising-meaning/

Charles Borderie - CEO\, Lettria Revolutionizing RAG for Financial Data With Knowledge Graphs https://neo4j.com/nodes2024/agenda/revolutionizing-rag-for-financial-data-with-knowledge-graphs/

Estelle Scifo - Machine Learning Engineer\, Neo4j Measuring the Performance of VectorRAG vs GraphRAG https://neo4j.com/nodes2024/agenda/measuring-the-performance-of-vectorrag-vs-graphrag/

Bill Reynolds - Chief Technical Officer\, Qarbine Leveraging Neo4j Graph Data and AI Across the Application Development and Deployment Lifecycle https://neo4j.com/nodes2024/agenda/leveraging-neo4j-graph-data-and-ai-across-the-application-development-and-deployment-lifecycle/

Register to NODES 2024: https://bit.ly/47VqQkp

Registration Secure your spot now by registering here! Limited seats available.

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Join us for our upcoming MongoDB meetup, powered by JPMC and AWS, where we’re bringing together developers and tech enthusiasts to explore the convergence of MongoDB and AI technologies, including payment solutions. This event is designed to provide deep insights into practical applications and advancements in MongoDB, while also showcasing the integration of MongoDB with AI for cutting-edge solutions, such as enhancing payment experiences.

Secure your spot now by registering here! Limited seats available.

With MongoDB.local New York a few weeks after the event, we will be awarding some free passes at the event. You could also register right now with coupon code Community50 to get 50% off.

Agenda:

• 17:30 - 18:00 Welcome & Registration
• 18:30 - 19:00 Session 1: Code for Conversions: Using Payments to Enhance Customer Journeys with MongoDB (Alan Lee, JPMC Payments)
• 19:00 - 19:30 Session 2: Build a Production-Ready AI Chatbot with the MongoDB Chatbot Framework (Ben Perlmutter, MongoDB)
• 19:30 - 19:45 Short Break & Networking
• 19:45 - 20:00 Lightning Session 3: Leveraging MongoDB for Modern Data Insights with AI (Bill Reynolds, Qarbine)
• 20:00 - 21:00 MongoDB Trivia Fun and Networking

Sessions

Session 1: Code for Conversions: Using Payments to Enhance Customer Journeys with MongoDB by Alan Lee, Developer Relations @ JPMC Payments

• In this session, the J.P. Morgan Payments developer relations team will help you discover the role payment integrations play in improving the overall customer experience. We’ll explore how the seamless and frictionless payment experiences we’re used to in our daily lives now impact B2B use cases, and will introduce some of the key security, fraud, and regulatory concerns developers should be aware of to make this happen. We’ll showcase our Global Payments API and how you can leverage MongoDB’s document-based model from storage to analyzing transactional data. As a result, you’ll be equipped with basic knowledge and techniques to think through what you can build to help improve customer satisfaction and drive better business outcomes.

Session 2: Build a Production-Ready AI Chatbot with the MongoDB Chatbot Framework. by Ben Perlmutter, Senior Education Engineer@MongoDB

• Chatbots powered by large language models (LLMs) have become a central focus of the tech world recently. Taking a chatbot prototype to production is where things stop being so easy. There are standard application development questions around how to persist data and secure your app. And now, there’s a new crop of generative AI-related concerns like prompt engineering, retrieval-augmented generation (RAG), and qualitative evaluation of responses. Learn how to take your intelligent chatbot from prototype to production, with the new MongoDB Chatbot Framework.

Lightning Session 3: Applying RAG to Gain Modern Data Insights by Bill Reynolds, CTO @ Qarbine

• MongoDB’s document model, aggregation pipeline, and $vectorSearch features empower developers to code cutting-edge AI-savvy applications. Unlike traditional reporting tools, Qarbine leverages MongoDB’s native capabilities for rapid analysis and interactive presentation. By applying generative AI to formatted content, valuable insights are further gained enhancing both application value and your MongoDB ROI. All of this can be achieved codelessly using Qarbine’s Modern Data Collaboration Suite.