Analytics enablement
The journey to optimizing the performance of your smart assets with AI starts with your IoT data.
Collect data from your connected machines and store it efficiently for seamless accessibility and usability with your BI, AI, or ML tools.
Leverage fleet-wide insights to enhance future product iterations.
Convert historical insights into real-time value for your service teams and customers by embedding BI reports or operationalizing your own AI/ML models across the Cumulocity platform, from cloud to edge or device.
Unlock the power of your equipment data with your BI, AI, and ML tools
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.
Integrate your BI tooling of choice
By offloading your data, your business analysts can easily connect to their BI tools such as Microsoft Power BI or Tableau and start creating fleet-wide machine usage reports in minutes.
You can then embed your reports back into Cumulocity and let those insights help your customers to increase the operational efficiency or reduce the energy consumption of your machine.
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, or dedicated solution providers can help you get started.
AI/ML Operationalization 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.
AI/ML models
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.
