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We know you're looking to unlock your real-time data challenges at a cost that makes sense.

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With Confluent, you'll receive a tailored solution fit to your needs while receiving guidance every step of the way.

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What happens when advanced technology meets real-world challenges in manufacturing and automotive? The result—driven by data streaming—is powerful. Check out the new on-demand show, featuring real-life use cases from Siemens and Siemens Healthineers and the most common trends in the industry.

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A conversation with guest speakers Forrester, Siemens, and AWS on how data streaming platforms are the key to turning your data mess of batch-oriented, point-to-point connections into a truly integrated architecture that unlocks instant data value, everywhere.

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At Kafka Summit London 2024, Daimler Trucks shared key optimizations to both Kafka topology and cluster, specifically aimed at reducing network overhead and controlling changelog size. These optimizations not only ensured resource efficiency but also enhanced fault tolerance and rapid startups.

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The key to making AI truly operational is real-time, trusted data products. Read now, Learn how the Confluent and Databricks partnership enables enterprises in manufacturing and beyond to fully operationalize AI.

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Hear directly from industry leaders at Siemens and Brose as they share their journeys toward adopting data streaming solutions and migrating to the cloud. This webinar will discuss key trends that are redefining Industrial IoT (IIoT) practices and unlocking new opportunities for businesses.

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Michelin needed a better way to modernize their operations by accessing real-time inventory data to remove these blockers across their entire supply chain. This is why they chose Apache Kafka®, the de facto standard for data streaming, for their new event-driven architecture and partnered with Confluent.

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Kai Waehner, Global Field CTO at Confluent, shares the basics on use cases from Confluent customers in the manufacturing industry. Learn why so many global manufacturers leverage data streaming for OT and IT data to achieve end-to-end visibility into their OEM supply chains.

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To drive innovation, BMW turned to Confluent for a scalable, real-time data streaming platform to manage its vast IoT data estate from manufacturing and R&D, alleviating the burden of self-managing Apache Kafka to enable seamless, real-time access for operational and development teams.

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“Confluent plays an integral role in accelerating our journey to becoming a data-first and digital business…We use Confluent Cloud as an essential piece of our data infrastructure to unlock data and stream it in real time.”

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Yves Caseau

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Group Chief Digital & Information Officer, Michelin

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“With Confluent, we have a data streaming platform that’s been quick to set up, where configuration is automated, and with zero maintenance tasks so we can focus on processing logic.”

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Mathieu Despriee

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Chief Technology Officer, Sencrop

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Although Siemens first addressed its need for real-time data with open source Apache Kafka, the team knew they needed Confluent to take their strategy to the next level. “We had this Siemens cloud-first strategy, which we needed to take into consideration… We did a total cost of ownership analysis, and the result was that the Confluent Cloud had the best cost-benefit ratio for us.”

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Stefan Baer

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Service Manager, Siemens Digital Industries

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\"Engaging Confluent gave us the peace of mind that comes with minimizing downtime and knowing that our Kafka systems are in the hands of one of the industry’s leading data-in-motion experts.\"

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Josh LittleSun

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Director of Technology, ETC

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Deutsche Bahn uses the Confluent data streaming platform in its on-premises environments to provide travel information to passengers faster than ever. To date, it’s reduced its data processing time by 90%, down from 20 to 2 minutes.

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By leveraging data streaming, manufacturing and automotive companies are monitoring and maintaining their equipment on the shop floor, improving overall equipment effectiveness (OEE) and enable more efficient operations—all to modernize IT infrastructure and reduce costs. Explore data streaming architectures for use cases like predictive maintenance, real-time trucking analytics, and real-time anomaly detection and see how you can enhance operational efficiency and customer satisfaction.

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Witness the impact of industrial IoT and digitalized B2B relations on data streaming, featuring real-life use cases from BMW, Mercedes, and Siemens. Learn how data streaming helps modernize and innovate the entire engineering and sales lifecycle.

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Watch this video to explore three manufacturing use cases that companies like BMW Group are using to build smart factories. You'll learn how using data streaming to connect factory data with IT systems like ERP or cloud data warehouses allows manufacturers to reduce production costs and risks, such as predicting machine failures and taking proactive actions before issues arise.

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By decoupling data systems, companies can enable batch and real-time data ingestion, build new applications, and support projects like moving SAP systems to the cloud. Watch as Kai Waehner, Global Field CTO at Confluent, explains how SIEMENS uses Kafka for decoupled integration between CRM data in the cloud and legacy ERP data on-premise to drive revenue growth.

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The best minds in data are coming together at Current Bengaluru—you won’t want to miss it. Get insights from leading data streaming experts, discover real-world use cases, and connect with peers solving similar challenges across industries.

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This conference series includes interactive demonstrations and hands-on labs with Confluent's team of real-time data experts, panel discussions with our customers, and networking opportunities with industry peers and ecosystem partners. Check out our 2026 calendar and find a location close to you.

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