Event 1

AWS re:Invent Recap HCMC 2026

Event Objectives

  • Tech Updates: Capturing the latest announcements from global AWS re:Invent, specifically the Nova model series, Amazon Bedrock, and MLOps infrastructure.
  • Solution Optimization: Exploring the implementation of Vector Databases and Multimodal Retrieval to solve complex data challenges.
  • Local Engagement: Direct networking with AWS experts regarding application modernization and the new Vietnam DirectConnect POP infrastructure.

Speakers

  • Prapti Gupta - AWS Speaker & Expert (Led the session on Vector Database on S3).
  • Solutions Architects from AWS Vietnam.

Key Highlights

Modern Data Platform and Analytics

  • Keynotes on ML/AI & Innovation: AWS’s strategic vision for driving innovation through the power of data and AI.
  • Vector Database on Amazon S3: Method for storing and managing data vectors directly on S3, optimizing cost and scale for AI applications.
  • Natural Query Language in OpenSearch: Using natural language to query data, bridging the gap between users and complex data systems.

Generative AI Ecosystem and MLOps Infrastructure

  • Upgrading GenAI Applications: Leveraging the latest features of the Nova model family and Amazon Bedrock to create smarter applications.
  • Resource Management via MCP: Mechanism for efficient interaction and coordination of AWS resources through the Model Control Plane (MCP).
  • Multimodal Retrieval: A breakthrough in Bedrock Knowledge Bases, allowing search and synthesis across various data types (images, text, tables).
  • Large-scale MLOps Infrastructure: Professional workflows for training and deploying machine learning models on the Amazon SageMaker AI platform.

Key Takeaways

Professional Knowledge

  • Architecture Flow: Understood the processing flow from storage (S3) and querying (OpenSearch) to training and execution (SageMaker/Bedrock).
  • Power of Multimodal: How to combine information from multiple data formats to enhance AI accuracy.

Systems Thinking

  • Realized that AI technology is not just about models, but also the entire ecosystem of infrastructure and governance (MLOps) to ensure scalability.

Applying to Work

  • SmartInvoice Shield Project:
    • Apply Multimodal Retrieval to handle complex input invoices (blurry photos, structured PDFs).
    • Replace or supplement relational databases with Vector Databases to accelerate cross-referencing and intelligent search.
    • Build standard MLOps workflows to manage OCR model versions more effectively.

Event Experience

Attending the event at the Bitexco office was a professional and inspiring experience:

  • Directly listened to the passionate sharing by speakers about optimal storage solutions.
  • Valuable networking opportunities with the Cloud & AI engineering community in Vietnam.

Lessons Learned

  • Understanding the architecture flow is more important than just knowing how to use individual services.
  • Cost optimization from the design phase (such as using S3 for Vector DB) is a survival factor for large-scale Cloud projects.
  • Networking is not just for connecting, but also for validating one’s own technical assumptions through the experience of others.

Some event photos

Latest tech solutions updates

Tech Solution Updates

Memories with AWS Vietnam Community

AWS Community Memories 1

Memories with AWS Vietnam Community

AWS Community Memories 2

Overall, the re:Invent Recap 2026 event provided me with a clear “roadmap” to shape the AI direction for the SmartInvoice Shield project and my upcoming career path.