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Reimagine Manufacturing & Automotive for...
|Global manufacturers and automotive companies are boosting efficiency and customer engagement with data streaming. See how they’re reimagining development and production processes.
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Leveraging Data Streaming to Reinvent BMW Group’s Omnichannel Sales Journey
BMW Group announced plans to start direct-sales (D2C) operations with its Mini brand in 2024 and their brand sales in 2026. Recognizing the need for 360 data transparency across the customer journey, they needed to find a way to access real-time data throughout the organization. Learn in this webinar, how BMW ensures its Apache Kafka deployments are enterprise-ready by leveraging the Kora Engine.
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Data Streaming in Manufacturing - An Overview
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Siemens Harnesses the Power of a Data Streaming Platform
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.
Building a Scalable Real-Time Fleet Management IoT Data Tracker at Daimler Trucks
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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Live on Stage with Siemens & Brose: Unlocking the Potential of Industry 4.0 and IIoT
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.
Michelin’s Evolution to Cloud-Native Microservices and Data Streaming
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.
Data Streaming in Real Life: Manufacturing—An Overview
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.
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.
“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.”
“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.”
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.”
"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."
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.
Unlimited Use Cases for Manufacturing & Automotive
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.
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.
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.
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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Bringing Stream Processing with Flink to On-Prem & Private Clouds
Streaming processing is essential for powering the real-time applications that are transforming retail and e-commerce. Join this webinar to learn how the latest release of Confluent Platform brings stream processing to on-prem and private clouds.
Accelerate Your Journey with Confluent + Partners
We work together with our partners to maximize the value of trusted data products across your entire stack in real time. Get exclusive access to resources from our partner ecosystem and migration offerings for your business needs and technical requirements.