The Future of AI is Event-Driven: Building Real-Time GenAI and Autonomous Agents

CONNECT Session

_{Tutorial on using pre-built, fully managed connectors to move from batch ETL, data silos, and brittle point-to-point integrations to streaming RAG pipelines.}

PROCESS Session

_{Tutorial on using Flink SQL and AI Model Inference to unify stream processing and AI workflows, creating vector embeddings to bring real-time context to LLMs.}

GOVERN Session

_{Tutorial on using Stream Governance (schema registry, data quality rules, stream lineage, and more) in addition to connectors and Flink to ensure data for AI is secure and verifiable.}

AWS Session

_{Scale your AI stack with Amazon Bedrock, Amazon embeddings microservice, Elasticsearch vector database, and Anthropic Claude LLM to power real-time chatbots. Includes a demo.}

GOOGLE CLOUD Session 

_{Scale more use cases with Vertex AI for AI product recommendation systems, fraud detection systems, and assistants. Includes a demo.}

MICROSOFT AZURE Session

_{Scale enterprise applications like AI copilots on Azure OpenAI and Azure Data Services. Includes a demo.}

Day Summary - Closing Remarks

Reception - Network & Sponsor Expo

Event Concludes

Welcome and Introductions