Big Data & Cloud solutions for Manufacturing & IoT
Efficient and scalable IoT solutions for a global pharmaceutical company, transferring data from factory to cloud, with Kafka, Databricks, and Power BI.
Industry challenges
Edge Processing Bottlenecks
Meeting real-time requirements demands highly efficient data processing pipelines directly on AI-enabled edge devices.
Scalable Device Management
Managing thousands of IoT devices requires scalable infrastructure with strong security, remote update capabilities, and comprehensive monitoring.
Limited Failure Labels
Developing reliable predictive models is challenging due to the limited availability of labeled failure data in industrial environments.
Data Quality Assurance
Aggregating data from distributed sources challenges related to consistency, completeness, and synchronization in centralized analytics platforms.
Cloud-Edge Optimization
Optimizing workload distribution between cloud and edge devices is essential to minimize latency and operational costs while maintaining system reliability.
Benefits
Enhanced production monitoring and anomaly detection
Real-time monitoring of production processes enables to track key performance indicators and identify inefficiencies.
Real-time sensors data processing
Real-time data processing facilitates timely decision-making. It is essential in IoT-driven industries where immediate responses to changing conditions are critical.
AI-enabled edge devices
Incorporating AI into edge devices enhances their ability to perform advanced analytics, predictive maintenance, and autonomous decision-making. This empowers IoT systems to reduce latency.
Manufacturing risk mitigation
Mitigate risks by detecting anomalies and predicting equipment failures. Minimize downtime, prevent quality defects, and ensure safety compliance.
Better scalability and management
Enhance scalability to enable your organization to seamlessly deploy, monitor, and manage a large number of IoT devices.
Improved reliability
Ensure that IoT devices operate consistently under varying conditions. Robust hardware and resilient software architecture help minimize downtime.
Centralized data platforms
Centralized data platforms aggregate and analyze information from distributed IoT devices. They provide comprehensive capabilities for data management, visualization, and analytics.
Read our success stories
Data platform for smart manufacturing
The Client is a global pharmaceutical company with over 30 manufacturing facilities worldwide. They needed real-time access to data from all factories to monitor product quality and reduce costs. Partnering with Datumo, they developed a system of early detection of flawed medical batches. The system also optimizes costs by addressing quality issues during production, minimizing financial losses down the supply chain. With uninterrupted data access, the Client improves their machine learning algorithms and enhances quality control processes. Datumo provides knowledge sharing and support for system maintenance, keeping it up to date and aligned with industry standards.
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