실시간 움직이는 데이터가 가져다 줄 가치, Data in Motion Tour에서 확인하세요!
Hit the accelerator and kick your digital transformation into the next gear. Set data in motion and power smart cars, connected supply chain, and personalized consumer experience.
The traditional automotive business model is being challenged by fast-changing customer needs, autonomous and self-driving vehicles, pervasive connectivity, and environmental regulations. Data is key to your success but your legacy data infrastructure is slow, complex, and hinders transformation.
Confluent’s data in motion platform empowers organizations in the automotive industry to easily access data as real-time streams, unlock legacy data, and integrate data silos.
Go from idea to proof-of-concept with a toolkit of code samples for the most popular use cases in the automotive and transportation industries.
Accelerate application development, reduce operational burden and costs, fast track to the cloud and propel your businesses forward.
Democratize Kafka for a wider range of developers and accelerate how fast they build event streaming applications.
Minimize operational complexity while ensuring high performance and scalability as data streaming grows through your organization.
Architect the platform with the foundational enterprise-level attributes needed to implement event streaming in production.
Deploy Confluent on any cloud, on-premises, or at the edge.
Built by the original creators of Kafka, get Gold Support from the world’s foremost Kafka experts, who work directly with Kafka committers to assist you throughout the application development lifecycle.
Offload the burden of Kafka management, save on hardware, and automatically fine-tune your infrastructure to maximize efficiency and core business value.
Deutsche Bahn delivers reliable travel information to millions with Confluent Platform
Reimagine Customer Experience. Engage Digitally. Drive Efficiencies. Future-Proof for Scale.
Use real-time information (e.g. traffic, weather, calendar, parking availability) to deliver personalized customer experiences in and out of the vehicle by personalizing in-vehicle and mobile applications. Re-engage in a timely manner by sending notifications to cross-sell and upsell relevant services. Consolidate data from various disjoined systems to get a complete unified view of customers to provide enhanced dealership and customer contact center experiences.
Perform data analytics in the car by analyzing data from various sensors in real-time on the edge. Accelerate development of autonomous driving features by aggregating data from multiple cars and analyzing big data sets in real-time. Ingest data and apply machine learning models at scale for predictions in real-time and model training.
Offer personalized premiums based on usage by collecting data in real-time. By collecting and analyzing vehicle usage and location data in real-time, enable usage-based car rentals. Ingest data from various sources to perform real-time tracking and management of fleet enabling new business models such as ride-sharing, delivery tracking, logistics, etc. Analyze real-time data in the car to perform remote diagnostics and alert customers for predictive maintenance.
Ensure inventory is updated in real-time by connecting all systems and applications across the supply chain (warehouse, trucks, factory, and storage) to have a real-time inventory of all parts for manufacturing facilities and dealers. Increase insight and visibility into operations by collecting data from various IoT devices and analyzing in real-time to detect problems early. Perform predictive maintenance, be proactive, not reactive and reduce downtime.