This week, we’re excited to introduce Data Flow—a powerful no-code, data flow designer that simplifies data preparation for analytics, predictive modeling, and AI use cases.

Services are the core component of service meshes. But what does it mean to send traffic from a workload to a service? What is the identity of a service? How does configuration apply to services? How do services interact when your cluster is multi-zone? Kong Mesh recently accomplished a major overhaul of its service to make them more intuitive and easier to manage that we want to share.

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.

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.

Welcome to Episode 5 of The Innovation Blueprint! In The Innovation Blueprint podcast, hosted by Yurii Rudakov, Partnership Manager at ORIL, we explore how technology is transforming industries. From PropTech and AI to the latest emerging tech trends, we bring you insights that are reshaping the future. This Episode’s Guest: Mike Todasco.