Flink AI Model Inference for GenAI and Real-time Analytics скачать в хорошем качестве

Flink AI Model Inference for GenAI and Real-time Analytics

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. #confluent #apachekafka #kafka #apacheflink #flink