Systems | Development | Analytics | API | Testing

Integrating RAG and GenAI into Customer 360 Architecture

Traditional Customer 360 architectures were perfectly adequate for the era of quarterly reports and static marketing segments. They successfully pooled data from CRMs, transaction logs, and support platforms to build a unified profile. But for GenAI-powered applications? Yesterday's architecture is a massive bottleneck. Here is why legacy systems are breaking down under the demands of modern AI, and how the architecture is forcing a shift to real-time data.

How to Add Your First Streaming Transformation with Flink

A streaming transformation is a continuous operation that processes events as they arrive, applies logic in real time, and emits transformed results immediately—without waiting for batch jobs to complete. In Apache Flink, a streaming transformation runs continuously, reacting to each event from a stream. This enables real-time data transformation directly on live data.

RAG and GenAI for Regulated and Public Sector Architectures

As a cloud engineer, I’ve seen organizations rush to implement Generative AI, only to hit a brick wall when the Chief Information Security Officer (CISO) asks about data residency or PII leakage. In the public sector and regulated industries like healthcare or finance, moving fast and breaking things isn't an option.

Autonomous Agentic Event-Driven Systems Architecture

Autonomous / agentic event-driven systems are a class of AI-native architectures where software agents continuously sense events, reason over shared state, take actions, and learn from outcomes—all in real time and without human-in-the-loop orchestration. At an architectural level, these systems combine event streaming, stateful processing, and agentic decision layers to form closed-loop AI systems capable of operating independently at scale.

Enterprise Knowledge Management with RAG for Digital-Native Companies

Enterprise knowledge management RAG (Retrieval-Augmented Generation) is a production-grade AI architecture designed to connect Large Language Models (LLMs) securely to a continuous, real-time flow of proprietary corporate data. Unlike basic RAG implementations that rely on static document uploads and batch-processed vector databases, an enterprise RAG architecture utilizes event streaming to ingest document updates, regenerate embeddings, and synchronize context in real time.

Agentic Fleet Management Architecture for Real-Time Operations

Agentic fleet management is a real-time, event-driven architecture where distributed AI agents continuously process streaming data to make autonomous operational decisions and execute them through closed-loop feedback systems. At its core, agentic systems enable: Unlike traditional systems that react to events after the fact, agentic architectures operate as adaptive, self-optimizing systems.

AI Tools for Builders - Confluent's MCP Server & Agent Skills

Your AI coding assistant just learned to speak Confluent. Developers live in their editors. The best platform tools meet them there—and increasingly, that means their AI assistants meet them there too. AI coding tools are already reshaping how developers build, debug, and operate software, but most of them are generalists. They can write an Apache Kafka producer, but they won't know your Schema Registry subjects.

Keynote: Building Intelligent Systems on Real-time Data

Confluent CEO Jay Kreps takes the stage alongside industry leaders at data streaming’s biggest event. Together, they’ll show why free-flowing, real-time data has become the key to unleashing the full potential of intelligent systems across every business. From live demos to real-world use cases to industry-changing product announcements, this year’s keynote is essential viewing for anyone looking to maximize the potential of their AI. Which is pretty much everyone. Don’t miss it.

Designing Sovereignty in Real-Time Data Streaming

As regulatory frameworks such as the General Data Protection Regulation (GDPR), Digital Operational Resilience Act (DORA), and Network and Information Security Directive 2 (NIS2) converge with the US Clarifying Lawful Overseas Use of Data Act (CLOUD Act), contractual assurances are no longer a sufficient defense. For senior leadership, digital sovereignty has evolved from a compliance checkbox into a core architectural requirement.