Unlocking AI Value? Start With the Right Data
Confluent’s Andrew Sellers shares why domain-specific, real-time, and contextualized data is essential to getting real results from AI.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Demo: Real-time mortgage underwriting AI agents with Confluent, Databricks, and AWS
This demo showcases a use case for a mortgage provider that leverages Confluent Cloud, Databricks, and AWS to fully automate mortgage applications—from initial submission to final decision and offer. New to Confluent? Experience unified Apache Kafka and Apache Flink with a free trial.
Event-Driven AI Agents: Why Flink Agents Are the Future of Enterprise AI
The evolution of artificial intelligence (AI) in the enterprise has reached an inflection point. While the early days of generative AI focused on chatbots responding to human prompts, today's enterprise AI agents are fundamentally different—they're event-driven, autonomous systems that continuously process streams of business data, make real-time decisions, and take actions at scale.
From Pawns to Pipelines: Stream Processing Fundamentals Through Chess
We understand new concepts by linking them to familiar ones. These analogies aren’t just helpful; they’re how we think. For me, that something familiar is chess, and I’ll use it to explain some of the core ideas behind stream processing—a concept that requires a shift from seeing tables as static snapshots to treating tables as materialized projections of a continuous stream of changes.
How Real Partnerships Are Built
Want better outcomes with partners? Elena Cuevas of Confluent shares how long-term trust—built before the problem—creates room for win-win outcomes.
Confluent and Amazon EventBridge for Broad Event Distribution
Confluent has established itself as a leader in event streaming, providing not only a robust platform but also a rich portfolio of pre-built connectors. These connectors act as bridges, effortlessly channeling data between a multitude of systems, from databases and applications to cloud services. This extensive portfolio empowers users to weave together their data landscapes with remarkable ease and flexibility.
Developer Experience in the Age of AI: Developing a Copilot Chat Extension for Data Streaming Engineers
Three in 4 programmers have tried artificial intelligence (AI). This factoid comes from a recent Wired survey on the habits of engineers with respect to AI tooling like GitHub Copilot. Though Wired used a pool of only around 700 engineers, Gartner’s prediction from a year ago was that 75% of enterprise software engineers would use AI by 2028. To many of us, it’s starting to feel like that’s already happened.
Streamlining Your Workflow - Confluent Cloud Console Feature Roundup
Apache Kafka has evolved from a modest project into the backbone of data streaming for thousands of organizations worldwide. Whether through open source or cloud-native solutions such as Confluent Cloud, different types of users now interact with Kafka every day.
Streaming Data at Scale with Strategic Cloud Partners | Life Is But A Stream Podcast
Strategic partnerships don’t work without trust. And in the data streaming world, trust begins with transparency. In this episode, Elena Cuevas, Sr. Manager of Cloud Partner Solutions Engineering at Confluent, joins Joseph Morais to unpack what it takes to collaborate with hyperscalers like AWS, Google Cloud, and Microsoft Azure. From managing competitive overlaps to future-proofing enterprise data architectures, Elena shares her battle-tested strategies for driving alignment across complex stakeholder ecosystems.
Real Partnership Means More Than Just APIs
Elena Cuevas of Confluent shares that partnerships thrive when it’s not “you or me”, but what you can do together.