| | In order to develop efficient IoT solutions, you need data. Especially in the context of using AI and Machine Learning frameworks to help with determining predictive maintenance for your important industrial equipment.
If you want to learn how to achieve higher data collection, reduce network bandwidth requirements, and lower total cost of operations then join this webinar with Chris Churilo, Director of Product Marketing, InfluxData, and Craig Hobbs, Sales Engineer, InfluxData as they explore:
- Various ways you can collect and store sensor data using powerful protocols such as MQTT, Modbus, ORC-UA, and even Kafka
- Why the vast range of sensors and devices to collect data is too broad for any single commercial vendor to support
- How open source software technologies can let you connect a broader set of sensors & devices to time-series data historians
Register Now!
This webinar is provided by:
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