Manufacturing solutions
Transform manufacturing, supply chain, and logistics with data and AI.
Manufacturing transformation with data and AI anywhere
Cloudera provides manufacturers with a unified platform for data and AI that drives efficiency, innovation, and resilience:
Fault-tolerant deployments bring AI to your data wherever it resides–from the edge to the cloud.
A low-code/no-code platform for collaborative AI development with end-to-end visibility and model governance.
Self-service AI tools enable everyone in the organization to work with data using natural language.
Key use cases
- Predictive maintenance
- Supply chain optimization
- Product quality optimization
- Digital twins
Predictive maintenance
A connected machine can produce a million data points every day. Those data points have the potential to offer insight into performance, degradation, and potential failures—but first maintenance teams must collect, process, and analyze all of that data and provide the context necessary for AI and ML models to move from remote monitoring to predictive maintenance.
Cloudera is the best platform for processing industrial IoT data at an enterprise scale, integrating that data with performance benchmarks, sales and service logs, and more, and delivering real-time insights into machine health so maintenance teams can take proactive action.
Supply chain optimization
Companies have the opportunity to build a resilient and agile supply chain with a real-time, end-to-end view of their operations. However, modern supply chains are complex, global, and increasingly susceptible to disruption: massive amounts of data exist, from sourcing and production to logistics and delivery.
Cloudera provides a unified platform for data and AI that connects the entire supply chain ecosystem, from partners and suppliers to production lines and distribution networks. This unified view enables supply chain leaders to use AI to proactively predict and mitigate risks, optimize logistics, and ensure on-time delivery.
Product quality optimization
Analyzing product data—including sensor readings, test results, visual inspections, and material composition—is key to identifying defects, which lead to waste and higher labor costs. As manufacturers pursue Industry 4.0 and 5.0 transformation, improving sustainability by striving for zero-defect production requires moving from reactive to proactive quality control.
Cloudera enables manufacturers to collect, process, and analyze diverse manufacturing data at massive scale. By combining sensor data with production logs and historical records, manufacturers can build and deploy AI models that identify anomalies and variations, predict defects, and ensure consistent product quality across every stage of the manufacturing process.
Digital twins
A digital twin is a virtual replica of a physical asset, process, or system. By simulating various scenarios, you can optimize operations, predict maintenance needs, and test changes without disrupting the physical environment. As manufacturers focus on increasing efficiency and agility, digital twins are essential for making data-driven decisions and accelerating innovation.
With Cloudera, manufacturers can build and manage digital twins by integrating real-time data streams from sensors, OT, and enterprise systems; run sophisticated simulations; apply ML models to predict outcomes; and empower teams to collaborate and innovate by analyzing potential changes and their impact in a safe, virtual space.
CUSTOMERS
Optimizing the future of manufacturing with intelligent data.
manufacturing and automotive
Continental AG
manufacturing and automotive
Dell
manufacturing and automotive
SAIC Volkswagen