Lakshmi Kumkala

Real-time AI applications need to process data the moment it arrives. In this hands-on workshop, you'll build a streaming pipeline that transforms raw data into intelligent insights using Confluent Cloud and MongoDB. Through guided exercises, you'll generate embeddings with Amazon Bedrock, store them in MongoDB Atlas for vector search, and orchestrate everything with Apache Flink®. By the end, you'll have built a working AI streaming agent that processes and analyzes data in real-time, and know how to apply these patterns to your own use cases.

Build an end-to-end AI-powered marketing pipeline that transforms customer interactions into automated and personalized campaigns, using Confluent Cloud, Amazon Bedrock and SageMaker, and Strands Agents. Deploy infrastructure with Terraform and process streaming data with Flink SQL. Automatically sync processed streams as Iceberg tables in S3 using Confluent Tableflow for a modern lakehouse architecture, while creating intelligent marketing automation that analyzes sentiment and identifies high-value prospects.