AIoT innovation

Empower smart data transformations

The AIoT revolution begins by converting raw sensor data into AI-ready assets through flexible transformation options.

Use our visual Dynamic Mapper to standardize formats and enrich data without coding, or deploy custom microservices for complex transformations.

Contextualize your equipment data by leveraging Cumulocity Digital Twin Manager to create meaningful relationships between devices, systems, and business processes.

Create actionable equipment intelligence

Turn complex data into business impact with intuitive analytics that reveal equipment performance insights.

From real-time monitoring to predictive insights, empower everyone from service technicians to product managers with role-specific views.

Deploy pre-built analytics templates or customize visualizations to match your specific equipment characteristics and customer needs.

Make your data accessible for downstream analytics​

In order to effectively analyze data from your connected assets, you first must be able to easily offload the data and make it available.

With Cumulocity DataHub you can effortlessly create offloading pipelines to store IoT data in your preferred historical or analytical data store and ensure seamless accessibility for downstream BI reporting and AI/ML model training.

Implementation of AI/ML made easy​

AI/ML model created and ready to drive real value?

Integrate your model seamlessly with Cumulocity and operationalize it on incoming IoT data from your connected devices. Utilize Streaming Analytics to effortlessly feed live IoT data into your model and let it generate actionable insights and drive impactful actions.

For more detailed information, visit the Cumulocity documentation.

Integrate your AI/ML tooling of choice​

With Cumulocity DataHub, your data scientists can easily connect their R/Python tools or workbenches such as Azure Machine Learning and Amazon SageMaker to start exploring your IoT datasets in minutes.

No data science team? No problem! Our partner ecosystem with seasoned data science practitioners and dedicated solution providers can help you get started.

Deploy AI from edge to cloud

Not all AI/ML use-cases thrive on cloud-based model inferencing. Some demand edge or device processing for privacy, data transfer, or latency concerns.

With Cumulocity Device Management, you can effortlessly oversee your AI/ML operations lifecycle: deploy models, manage versions, and monitor status with ease.

For more detailed information, visit the Cumulocity documentation.