Scroll to peruse the full agenda, search for topics of interest.
Please note agenda is subject to change without any prior notice.
Content will be delivered in a mix of Thai and English.
NoSQL isn't just a database. It's a new way of thinking about data. Traditional RDBMS has been baked into software development for decades. Moving development organizations from RDBMS to NoSQL means overcoming technology momentum and the natural bias to use solutions that are already well understood. This session is designed to introduce developers, technologists, and technical decision-makers to the NoSQL mindset and explore the design patterns and best practices. Join this insightful session that breaks down NoSQL data modeling for real-world workloads and dives deep into the core value of MongoDB for both SDEs and product stakeholders.
Wenjie Teo, Sr. Developer Advocate, MongoDB
Building highly performant and cost-effective Generative AI applications, like Retrieval Augment Generation (RAG) applications, requires choosing an extensive range of technologies and products across data ingestion, data chunking, metadata extraction, embedding generation, prompt engineering, Large Language Model (LLM) inference, query processing, and LLMOps Evaluation and Monitoring, etc. Learn how MongoDB’s curated collection of Generative AI Stack powered by Atlas Vector Search includes tools and technologies that streamline the process for developers to build Enterprise grade LLM powered applications.
Ekkasit Takoungsakdakul, Sr. Solutions Architect, MongoDB
The next major platform shift is here, and it's powered by AI. Join MongoDB executives to learn how our developer data platform, MongoDB Atlas, is uniquely positioned to give developers and organizations a competitive edge when building the intelligent applications today's customers expect. Attendees will learn how building on Atlas reduces complexity and cost while accelerating flexible development at scale to modernize, build faster, and capture all the opportunities AI unlocks. See the newest releases, hear what’s coming next, and learn powerful new ways to use products and features you may already use today.
Boris Bialek, Field Chief Technology Officer, MongoDB
Join Trirat Suwanprateeb, CEO of SCB TechX, as he explores the pivotal role of MongoDB in driving innovation and enhancing technological capabilities at SCB TechX. In this session, Trirat will provide an in-depth look at how MongoDB has been seamlessly integrated into various applications and domains within SCB TechX.
Key highlights of the session include:
- Payment Domain: Learn about the critical role MongoDB plays in securing and streamlining payment processes, ensuring efficient and reliable transactions.
- Customer Domain: Explore the ways MongoDB helps manage vast amounts of customer data, providing insights and driving personalized customer interactions.
Trirat will also share insights into the challenges and successes experienced during the implementation of MongoDB and best practices for organizations looking to leverage this powerful database technology.
Trirat Suwanprateeb, Chief Executive Officer, SCB TechX
In this session, we'll review the key features and updates coming in MongoDB 8.0, including: improving database performance for all applications, especially during periods of heavy load; adding new functionality for time series collections and queryable encryption; making horizontal scaling through sharding easier, faster, and cheaper to adopt and use; and giving users additional visibility and control with a new authentication option, standardized security logs, and new query settings and statistics.
Ekkasit Takoungsakdakul, Sr. Solutions Architect, MongoDB
[SPONSOR] Reliable Generative AI Multi-Agent Solutions with Gemini, RAG and Grounding: Vertex AI Agent Builder Overview
Are your AI solutions lacking the accuracy and context-awareness needed for real-world applications? This 30-minute session dives into the key Google Cloud Next'24 announcements that empower you to build more reliable and trustworthy GenAI solutions with Vertex AI. Discover how groundbreaking techniques like grounding and RAG enhance your AI's ability to understand and respond accurately. Learn to streamline your development process with Agent Builder, a suite of tools designed to simplify the creation of enterprise-ready GenAI experiences across a range of developer needs. Walk away with the practical knowledge to deploy GenAI solutions faster and deliver consistent, high-quality results.
Warissara (Mile) Chawalitsoonthorn, Customer Engineer, Google Cloud
In the fast-paced world of 5G technology, ensuring network reliability and quickly diagnosing failures is crucial. The diverse and voluminous data generated in 5G networks can be efficiently managed by MongoDB's dynamic schema and scalable architecture. This talk explores an innovative approach to root cause analysis in 5G networks, using MongoDB and its Atlas Vector Search capabilities to improve the efficiency and accuracy of diagnosing network disruptions.
Benjamin Lorenz, Principal Industry Solutions, Telco & Media, MongoDB
Dive into AIS's transformation into a cutting-edge, agile organization! Explore how they overcame architectural challenges with the "System of X" architecture, revolutionizing their approach using microservices and Domain-Driven Design. Uncover the secrets behind their rapid project launches, streamlined operations, and increased release frequency, and discover why MongoDB was the database of choice in this journey.
Arakin Rakchittapoke, Head of Novel Engine eXecution Team (H-NEXT), AIS
Retrieval-Augmented Generation (RAG) combines information retrieval and language generation to improve retail operations, such as product recommendations, dynamic e-commerce content, and intelligent customer support chatbots. This session explores how MongoDB leverages RAG to enhance retail and outlines the necessary capabilities to achieve these advancements.
Genevieve Broadhead, Global Lead, Retail Solutions, MongoDB
Ensuring network reliability and quickly diagnosing failures is crucial in 5G technology. MongoDB's dynamic schema and scalable architecture efficiently manage the diverse data generated in 5G networks. This talk explores using MongoDB and its Atlas Vector Search capabilities to enhance root cause analysis, improving the efficiency and accuracy of diagnosing network disruptions.
WeiYou Pan, Director, Industry Solutions, Financial Services , MongoDB
Your data model is the cornerstone of your application, but it must evolve as requirements change and your application scales. This talk will guide you through optimizing your MongoDB data model, from initial setup and running queries in MongoDB for VS Code to identifying and correcting data modeling anti-patterns with MongoDB Compass. By the end, you'll understand essential data modeling principles and feel confident experimenting with MongoDB developer tools.
Sweta Dwivedi, Solutions Architect, MongoDB
Unlock the transformative power of the Amazon Web Services (AWS) generative AI stack with MongoDB Atlas integrations. Explore compelling real-world generative AI application examples leveraging diverse approaches. Gain valuable insights into cost considerations, latency implications, and how these applications can address a wide range of use cases. Discover how the synergy between AWS and MongoDB can drive innovation, growth, and competitive advantage for your business.
Warot Asawakowitkorn, Solutions Architect, AWS
Discover the versatile applications of Atlas Search for crafting immersive user experiences beyond just a search bar. The session explores how Atlas Search features can be leveraged for a variety of real customer use cases, highlighting different ways to build engaging application experiences. Explore the expansive landscape of possibilities where the power of the MongoDB Atlas developer data platform can be seamlessly woven into the fabric of their projects to elevate user experiences and outperform business goals.
Jasmine Lim, Sr. Solutions Architect, MongoDB
Designing high-performance and cost-efficient database applications requires deep knowledge of MongoDB. In this session, we’ll share common patterns and best practices to help diagnose and scale MongoDB applications. We will talk about performance planning, design, monitoring, diagnostics and scaling in a practical framework. These patterns were curated over many years working on real-world performance and scaling projects both internally and with customers.
TzeHon Tan, Sr. Solutions Architect, MongoDB
Here at MongoDB we have a mission: to help you "Love your developers". And developers love building new apps, discovering new tools via live demos, coding and hands-on, real use of a product. Join us for these seven hands-on, no slide decks, live demos showcasing our latest tools, drivers and integrations:
- MongoDB for Visual Studio Code Extension
- CodeWhisperer integration in VSC
- Writing AI assisted queries and aggregation pipelines in Compass
- Atlas-CLI docker instance with Atlas Search
- Relational Migrator
- Generate Charts using AI
Move your workloads from Relational to MongoDB Atlas starting with your database schema and data. Use MongoDB Relational Migrator to connect to your relational database, get a proposed schema for MongoDB, create the MongoDB database and copy your data over. And don't forget to grab the code to use your new MongoDB cluster!
Our 2-hour RAG workshop is designed for developers and data enthusiasts. You'll learn foundational concepts of RAG systems, including semantic search, embedding models, chunking, and metadata filtering. The workshop will guide you through building an end-to-end RAG system using MongoDB Atlas, LangChain, and open-source LLMs.You will receive all necessary resources, including a GitHub repository with a Jupyter Notebook template and pseudocode. During the workshop, you will actively code by replacing comments and pseudocode with your own work.
50 mins session in a private meeting room
Register for a 50 minute whiteboard session with a MongoDB expert where individual development team can explore how their own workloads might be supported by a NoSQL backend. You will dive deep into your project and design a data model in real time. Teams can expect to leave these sessions with a documented data model and enough knowledge to iterate and optimize the design on their own.
Instructions: Please reach out to your account executive to register for a session.
You can learn more about Schema Design Reviews here.
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