New York MUG: MongoDB AI Chatbot Framework, Payments API Integration - with JPMC and Powered by AWS
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.
Registration
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:
| Time | Topic |
|---|---|
| 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.
Speakers and Hosts
Alan Lee
Developer Relations, JPMC Payments
–
Ben Perlmutter
Senior Education Engineer, MongoDB
–
Bill Reynolds
CTO, Qarbine
Hosts
Anaiya Raisinghani
Associate Developer Advocate, MongoDB
–
Michael Lynn
Principal Developer Advocate, MongoDB
Where?
Event Type: In-Person
Location: Amazon Web Services, JFK27 - Hank 12 W 39th St, New York, NY 10018, United States
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