Overview
Our IoT/IIoT/ML program begins with a short introduction session on IoT and machine learning in the cloud, followed by a needs and organizational readiness assessment. Talking about extending your edge devices to locally act on the generated data with AWS IoT Greengrass. Connecting your devices securely with IoT Core and AWS IoT ExpressLink.
Then we select use cases with low complexity but high added value to create a lighthouse proof of concept project. Our team calculates the total cost of ownership and return on investment for the chosen use case compared to competitor solutions.
Next, we design a detailed architecture that ensures cost efficiency for the lighthouse proof of concept. We integrate the data output from the IoT devices into existing dashboards or build new ones to maximize visualization for users. Additionally, we offer a roadmap for future development beyond the proof of concept stage.
To ensure security and governance, we can deploy a baseline landing zone. This includes measures to protect the IoT devices and data. We also offer productization and rollout services, executing iterative IoT/IIoT use cases according to the defined plan. Throughout the process, we apply and maintain operational best practices and monitor the performance of the implemented solutions with e.g. AWS IoT Device Management.
Contact us today to learn more about how we can help accelerate your journey to the cloud with confidence and precision.
Highlights
- Streamline supply chain and manufacturing processes, reducing costs through IoT implementation with IoT Core and IoT Greengrass.
- Utilize IoT and machine learning for predictive maintenance, enhancing manufacturing quality through real-time analytics with IoT Analytics and Grafana or AWS Quicksight.
- Optimize resource use and decrease waste with IoT monitoring, gaining better production insights through data analytics and IoT Events with IoT Analytics.
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