Maximizing the Power of AI with Data Streaming
Jul 14, 2023William LaForest
Summary
This post details how data streaming, powered by Apache Kafka, fuels AI by enabling continuous training on data streams, efficient data synchronization to ML platforms, real-time application of AI models, and high-volume data processing. It emphasizes the creation of a real-time data mesh to democratize data accessibility and reduce integration complexity. The post also highlights the importance of data governance and security, mentioning RBAC and ABAC for secure and scalable data access to AI systems.
More from the Real-time Enterprise RAG trail
- Building an Agentic SOC on a Stream
- Hemut: Building the Internet of Freight on Real-Time Data
- New in Confluent Intelligence and AI Tools: Making Agents Native to the Stream, Expanded Model Support, New Agent Skills, and Copilot
- Customer Intelligence Hub for Real-Time GTM Insights
- RAG and GenAI for Customer 360 Architecture