Confluent Unlocks Scalable Real-Time Agentic AI With Streaming Agents
19 augusti, 15:00
19 augusti, 15:00
Confluent, Inc. (Nasdaq: CFLT), the data streaming pioneer, today announced Streaming Agents, a new capability in Confluent Cloud for Apache Flink® that makes it easy to build and scale AI agents that monitor, reason, and act on real-time data. Streaming Agents removes barriers to enterprise-grade agentic artificial intelligence (AI) by unifying data processing and AI workflows and providing easy, secure connections to every part of a business, including large language models (LLMs) and embedding models, tools, and other systems. It accelerates the adoption of agentic AI, enabling more efficient workflows, faster time to value, and the creation of entirely new business models and opportunities.
This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20250819777292/en/
Building Streaming Agents on Confluent Cloud for Apache Flink
“Agentic AI is on every organization's roadmap. But most companies are stuck in prototype purgatory, falling behind as others race toward measurable outcomes,” said Shaun Clowes, Chief Product Officer at Confluent. “Even your smartest AI agents are flying blind if they don’t have fresh business context. Streaming Agents simplifies the messy work of integrating the tools and data that create real intelligence, giving organizations a solid foundation to deploy AI agents that drive meaningful change across the business.”
IDC research shows that while organizations ran an average of 23 generative AI proofs of concept between 2023 and 2024, only three reached production. Of those, just 62% met expectations. Agents are only as powerful as the tools and data they can access, but today’s workflows are painfully complex and costly, blocking businesses from unlocking the full value of agentic AI. While existing AI frameworks make it easy to get started with agents, many teams struggle to integrate real-time data into agentic AI initiatives, resulting in hallucinations and unreliable responses.
“While most enterprises are investing in agentic AI, their data architectures can’t support the autonomous decision-making capabilities these systems require,” said Stewart Bond, Vice President of Data Intelligence and Integration Software at IDC. “Organizations should prioritize agentic AI solutions that offer easy, secure integration and leverage real-time data for the essential context needed for intelligent action.”
Build and Scale Real Time AI Agents With Streaming Agents
Streaming Agents brings agentic AI directly into stream processing pipelines to help teams build, deploy, and orchestrate event-driven agents with Apache Kafka® and Apache Flink®. By unifying data processing and AI reasoning, agents gain access to fresh contextual data from real-time sources to quickly adapt and communicate with other agents and systems as conditions change. Streaming Agents are always on and works on a business’s behalf, operating dynamically, processing high-volume data streams, and instantly responding to real-time signals with context-aware reasoning like human operators would. For example, Streaming Agents can do competitive pricing by continuously monitoring prices across ecommerce sites and automatically updating product prices on a retailer’s site to reflect the most competitive offer for customers.
Key features of Streaming Agents include:
Streaming Agents are available today in open preview.
Additional Resources
Check out the launch blog to learn about the other new Confluent Cloud features and updates, including Private Networking Interface (PNI) support for Enterprise clusters, Tableflow’s new Upsert feature, and Custom Single Message Transformations (SMTs) for fully managed connectors.
About Confluent
Confluent is the data streaming platform that is pioneering a fundamentally new category of data infrastructure that sets 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 an organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital frontend customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io.
As our roadmap may change in the future, the features referred to here may change, may not be delivered on time, or may not be delivered at all. This information is not a commitment to deliver any functionality, and customers should make their purchasing decisions based on features that are currently available.
Confluent® and associated marks are trademarks or registered trademarks of Confluent, Inc.
Apache®, Apache Kafka®, Kafka®, Apache Flink®, and Flink® are registered trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by the Apache Software Foundation is implied by the use of these marks. All other trademarks are the property of their respective owners.
View source version on businesswire.com: https://www.businesswire.com/news/home/20250819777292/en/
19 augusti, 15:00
Confluent, Inc. (Nasdaq: CFLT), the data streaming pioneer, today announced Streaming Agents, a new capability in Confluent Cloud for Apache Flink® that makes it easy to build and scale AI agents that monitor, reason, and act on real-time data. Streaming Agents removes barriers to enterprise-grade agentic artificial intelligence (AI) by unifying data processing and AI workflows and providing easy, secure connections to every part of a business, including large language models (LLMs) and embedding models, tools, and other systems. It accelerates the adoption of agentic AI, enabling more efficient workflows, faster time to value, and the creation of entirely new business models and opportunities.
This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20250819777292/en/
Building Streaming Agents on Confluent Cloud for Apache Flink
“Agentic AI is on every organization's roadmap. But most companies are stuck in prototype purgatory, falling behind as others race toward measurable outcomes,” said Shaun Clowes, Chief Product Officer at Confluent. “Even your smartest AI agents are flying blind if they don’t have fresh business context. Streaming Agents simplifies the messy work of integrating the tools and data that create real intelligence, giving organizations a solid foundation to deploy AI agents that drive meaningful change across the business.”
IDC research shows that while organizations ran an average of 23 generative AI proofs of concept between 2023 and 2024, only three reached production. Of those, just 62% met expectations. Agents are only as powerful as the tools and data they can access, but today’s workflows are painfully complex and costly, blocking businesses from unlocking the full value of agentic AI. While existing AI frameworks make it easy to get started with agents, many teams struggle to integrate real-time data into agentic AI initiatives, resulting in hallucinations and unreliable responses.
“While most enterprises are investing in agentic AI, their data architectures can’t support the autonomous decision-making capabilities these systems require,” said Stewart Bond, Vice President of Data Intelligence and Integration Software at IDC. “Organizations should prioritize agentic AI solutions that offer easy, secure integration and leverage real-time data for the essential context needed for intelligent action.”
Build and Scale Real Time AI Agents With Streaming Agents
Streaming Agents brings agentic AI directly into stream processing pipelines to help teams build, deploy, and orchestrate event-driven agents with Apache Kafka® and Apache Flink®. By unifying data processing and AI reasoning, agents gain access to fresh contextual data from real-time sources to quickly adapt and communicate with other agents and systems as conditions change. Streaming Agents are always on and works on a business’s behalf, operating dynamically, processing high-volume data streams, and instantly responding to real-time signals with context-aware reasoning like human operators would. For example, Streaming Agents can do competitive pricing by continuously monitoring prices across ecommerce sites and automatically updating product prices on a retailer’s site to reflect the most competitive offer for customers.
Key features of Streaming Agents include:
Streaming Agents are available today in open preview.
Additional Resources
Check out the launch blog to learn about the other new Confluent Cloud features and updates, including Private Networking Interface (PNI) support for Enterprise clusters, Tableflow’s new Upsert feature, and Custom Single Message Transformations (SMTs) for fully managed connectors.
About Confluent
Confluent is the data streaming platform that is pioneering a fundamentally new category of data infrastructure that sets 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 an organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital frontend customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io.
As our roadmap may change in the future, the features referred to here may change, may not be delivered on time, or may not be delivered at all. This information is not a commitment to deliver any functionality, and customers should make their purchasing decisions based on features that are currently available.
Confluent® and associated marks are trademarks or registered trademarks of Confluent, Inc.
Apache®, Apache Kafka®, Kafka®, Apache Flink®, and Flink® are registered trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by the Apache Software Foundation is implied by the use of these marks. All other trademarks are the property of their respective owners.
View source version on businesswire.com: https://www.businesswire.com/news/home/20250819777292/en/
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