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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.

Elasticsearch in Action teaches you how to build scalable search applications using Elasticsearch. You'll ramp up fast, with an informative overview and an engaging introductory example. Within the first few chapters, you'll pick up the core concepts you need to implement basic searches and efficient indexing. With the fundamentals well in hand, you'll go on to gain an organized view of how to optimize your design. Perfect for developers and administrators building and managing search-oriented applications. About the Technology Modern search seems like magic'you type a few words and the search engine appears to know what you want. With the Elasticsearch real-time search and analytics engine, you can give your users this magical experience without having to do complex low-level programming or understand advanced data science algorithms. You just install it, tweak it, and get on with your work. About the Book Elasticsearch in Action teaches you how to write applications that deliver professional quality search. As you read, you'll learn to add basic search features to any application, enhance search results with predictive analysis and relevancy ranking, and use saved data from prior searches to give users a custom experience. This practical book focuses on Elasticsearch's REST API via HTTP. Code snippets are written mostly in bash using cURL, so they're easily translatable to other languages. What's Inside What is a great search application? Building scalable search solutions Using Elasticsearch with any language Configuration and tuning About the Reader This book is for developers and administrators building and managing search-oriented applications. About the Authors Radu Gheorghe is a search consultant and software engineer. Matthew Lee Hinman develops highly available, cloud-based systems. Roy Russo is a specialist in predictive analytics. Quotes To understand how a modern search infrastructure works is a daunting task. Radu, Matt, and Roy make it an engaging, hands-on experience. - Sen Xu, Twitter Inc. An indispensable guide to the challenges of search of semi-structured data. - Artur Nowak, Evidence Prime The best resource for a complex topic. Highly recommended. - Daniel Beck, juris GmbH Took me from confused to confident in a week. - Alan McCann, Givsum.com