Flink AI Model Inference for GenAI and Real-time Analytics

Описание: How do you bring real-time data to AI and machine learning models?
Kai Waehner, Field CTO at Confluent, explains how to use Flink for real-time model inference to power use cases for generative AI, real-time analytics, predictive maintenance, and more.

RESOURCES
► Docs: https://docs.confluent.io/cloud/curre...
► GenAI hub: https://www.confluent.io/generative-ai/
► Flink for retrieval-augmented generation (RAG):    • Retrieval Augmented Generation (RAG) with ...  
► How Flink works: ​​   • What is Apache Flink®?  
► Get Started free on Confluent Cloud: https://www.confluent.io/get-started/

CHAPTERS
00:00 - Model Inference
03:35 - Implementation with a Data Streaming Platform
04:01 - Event-driven Architecture
05:09 - Benefits
06:19 - Stream, Connect, Process, Govern
08:12 - Predictive AI
08:56 - Generative AI
09:22 - Retrieval-augmented generation (RAG)
11:59 - Predictive Maintenance for Manufacturing


ABOUT CONFLUENT
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io.

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