Discover the future of Industrial IoT with Machine Learning and Data processing on the edge in this dynamic and practical session. We will cover use cases such as digital twins, smart homes, and connected cars, while learning pro's and con's of for deploying AI models on edge vs on the cloud.
The presentation will include a live demo featuring a Raspberry Pi running an IoT setup with open source ML model deployed on the edge using Python, InfluxDB for time-series data storage and analytics. Our demo code and hardware setup will be open-sourced on GitHub.
You will learn:
- Pro's and Con's of data processing and ML inference on edge vs on the cloud - How to deploy and run full stack application with real time data processing and analytics - Connect with machine learning and data science tools to gain better insight and build the foundation of your industrial IoT solutions.
Suyash Joshi is a seasoned software engineer and developer advocate at InfluxData in London, UK. With a B.S. in Computer Science and an M.A. in Game Design, he brings a robust technical and creative background to his role.Suyash has a rich professional history, having previously worked... Read More →
