Cloud X 2024 Conference
Date: November 05, 2024
Location: Santa Clara, California
Discover the future of Industrial IoT with Machine Learning and edge data processing in this dynamic presentation. We will cover use cases such as digital twins, smart homes, and connected cars while learning the pros and cons of deploying AI models on edge vs. on the cloud. A live demo will feature Raspberry Pi running an IoT setup with an open source ML model deployed on the edge using Python and InfluxDB for time series data storage and analytics. The demo code and hardware setup will be available 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.
Speakers, hosts, trainers
Suyash Joshi
Senior Software Engineer and Developer Advocate, InfluxData
Suyash Joshi is a senior software engineer and accomplished developer advocate at InfluxData. His career spans leading pivotal projects at Oracle and RingCentral in the past. Holding both a B.S. in Computer Science and an M.A. in Game Design, he seamlessly blends technical expertise with a flair for creativity. Driven by his passion, he nurtures and hosts developer events in London, delivering sought-after keynote speeches and participating in hackathons worldwide. Apart from his day job, Suyash Joshi is a magician and member of the prestigious Magic Circle in London, crafting performances that ignite wonder, joy, and inspiration. Find him on X: @suyashcjoshi
