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Transforming Retail with AI: Confluent and Microsoft Azure

Jan 28, 2025 By Confluent In Confluent
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.
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Introducing Real-Time Embeddings: Any Model, Any Vector Database-No Code Needed

Jan 28, 2025 By Mayank Juneja In Confluent
We’re excited to announce the Create Embeddings Action, the newest member of Confluent Cloud for Apache Flink Actions suite and the first step in our journey toward no-code AI workflows. This no-code feature enables you to generate vector embeddings in real time, from any model, to any vector database, across any cloud platform. It’s the easiest way to create a live semantic layer for your AI workflows—ensuring fresher, more accurate data for better-performing systems.
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Google Cloud & Confluent Marketplace Marvels Series

Jan 22, 2025 By Confluent In Confluent
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.
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Allium and Confluent: How to Build a Foundational Data Platform for Blockchain

Jan 21, 2025 By Will Stolton In Confluent
Blockchains enable individuals and organizations to record and verify transactions as part of a secure, transparent, and decentralized system. They form the basis of most cryptocurrencies, and are used as the foundation of many other applications—smart contracts, supply chain management, and digital identity verification, to name but a few.
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Optimizing Supply Chains with Data Streaming and Generative AI

Jan 16, 2025 By Kyle Moynihan In Confluent
It’s a truism that global supply chains are complex. The process of sourcing raw materials, transforming them into finished products, and distributing them to customers encompasses numerous systems (e.g., ERPs, WMSs, and TMSs). All systems within “the supply chain” are trending in the same direction; they’re aiming to be more efficient, resilient, and agile. Various technological developments have facilitated this directional trend.
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Event-Driven AI: Building a Research Assistant with Kafka and Flink

Jan 15, 2025 By Sean Falconer In Confluent
This post was originally published on Medium on Nov. 20, 2024. The rise of agentic AI has fueled excitement around agents that autonomously perform tasks, make recommendations, and execute complex workflows blending AI with traditional computing. But creating such agents in real-world, product-driven environments presents challenges that go beyond the AI itself.
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New in Confluent Cloud: Extending Private Networking Across the Data Streaming Platform

Jan 14, 2025 By Hannah Miao In Confluent
As we step into the new year, it’s the perfect time to reflect on the exciting advancements Confluent made in 2024. Our Q4 launch wrapped up the year with a host of powerful features paving the way for even more innovation in 2025. This launch is all about delivering private networking and enhanced security across the data streaming platform.
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Stop Treating Your LLM Like a Database

Jan 8, 2025 By Sean Falconer In Confluent
This article was originally published on The New Stack on Dec. 19, 2024. Imagine driving a car with a headset that only updates your view every five minutes instead of providing a continuous video stream. How long would it take before you crashed? While this type of batch processing clearly doesn’t work in the real world, it's how many systems operate today. Batch processing, born out of outdated technology constraints, forces applications to rely on static, delayed data.
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Scaling Web Scraping With Data Streaming, Agentic AI, and GenAI

Jan 6, 2025 By Adam Watkins In Confluent
In building the next generation of web agents, we need the simplest, fastest way to extract web data at scale for production use cases. And for every new generative AI (GenAI) application, developers and businesses need reliable data to power the underlying models. But getting that data in a usable, trustworthy format? That’s where things get complicated.
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