Learn how Audacy, a leading multi-platform audio content company, transformed its operations with Confluent’s real-time data streaming platform, delivering personalized audio experiences to 200 million listeners. By moving from complex point-to-point systems to a seamless data streaming architecture, Audacy has streamlined operations and can now focus on delivering the personalized content, dynamic advertising, and data-driven insights they need to stay ahead in a demanding market.

Discover how Confluent’s Data Streaming Platform and Microsoft Azure are revolutionizing the retail industry. In this video, learn how real-time data streaming and AI-powered insights can: Explore how Confluent and Azure’s seamless integration enables retailers to break down data silos, streamline operations, and accelerate innovation with scalable, enterprise-ready solutions. Whether you’re looking to modernize your retail infrastructure, enhance customer engagement, or drive operational efficiency, this video is your guide to leveraging AI and real-time data streaming.

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.

In this episode of the Google Cloud Marketplace Marvels series, theCUBE Research’s John Furrier talks to Shaun Clowes, CPO of Confluent, and Stephen Orban, VP of migrations, ISVs, and marketplace, Google Cloud at Google. Clowes highlights the strategic partnership with Google Cloud, emphasizing seamless integration, scalable solutions and flexibility in marketplace consumption models. Together, they explore the platform’s impact on AI initiatives, enterprise analytics and rapid IT modernization, demonstrating how businesses can build next-generation data infrastructures one step at a time.