IA generativa para...

"With Confluent, we help build AI copilots that allow users to interact with their data in natural language, turning Flink jobs into agents that continuously monitor data streams. Flink AI Model Inference simplifies our stack and lets us work directly with LLMs and vector databases for RAG, providing real-time context to generate the most accurate Flink SQL queries. Using the Confluent Data Streaming Platform, we’re accelerating business copilot adoption."

“Confluent data streaming platform is the backbone of our multi-agent platform, which provides a drag-and-drop interface that makes building multi-agent systems (MAS) accessible by anyone. With fully managed connectors and Stream Governance, Confluent enables real-time agent orchestration, observation, and governance... allowing us to iterate faster and ship new features weekly.”

"Our product uses GenAI to write code to extract data from websites as well as Agentic AI to test and validate results. We rely on Confluent's data streaming platform, including connectors and stream governance, to stream GenAI and Agentic AI outputs across our architecture for our customers, tracking token usage and enabling accurate billing. Confluent makes it easy for us to iterate quickly and build new AI features in days instead of weeks."

“We built a real-time GenAI chatbot to help enterprises identify risks and optimize their procurement and supply chain operations. Confluent allows our chatbot to retrieve the latest data to generate insights for time-sensitive situations. We use Confluent connectors for our data stores, stream processing for shaping data into various contexts, and Stream Governance to maintain trustworthy, compatible data streams so our application developers can build with real-time, reliable data faster.”

“Everyone wants AI—but the hard part is getting high-quality data moving in real time. The Confluent data streaming platform makes that possible for us. It’s the foundation that gets our data moving and gets it where it needs to be.”