IoT, IIoT and Managing Edge Data

Brian Gilmore (@BrianMGilmore, Director IoT/Emerging Technology @InfluxDB) talks about Edge and Industrial Edge Computing, as well as application and data challenges at the edge.

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SHOW NOTES:

• InfluxData (homepage) - InfluxDB - Time Series Platform
• Understanding Time Series Database Platforms (Cloudcast Eps:394)

Topic 1 - Welcome to the show. Before we get into the fascinating world of Edge and IoT, tell us a little bit about your background, and then where you focus these days with InfluxData.

Topic 2 - It’s been a little while since we covered IoT and IIoT. In the past it was somewhat of a fragmented market segment (lots of definitions, lots of different use-cases). How do you summarize the IoT and IIoT markets in 2022? 

Topic 3 - We’ve always said that the sensor part of IoT isn’t very interesting, but what a company does with the data is very interesting (and complicated). How do companies think about edge data these days – what aspects of the data are valuable? 

Topic 4 - Time Series databases seem like the perfect fit for IoT and IIoT use-cases because they are designed to be both real-time and give historical context (from a time perspective). Is this the case, and why do companies ever consider other types of databases at the edge?

Topic 5 - What are the current best practices about managing data at the edge, in terms of long-term retention and what they eventually do with the data (analysis, analytics, etc.) to better optimize those edge applications? 

Topic 6 - What are some of the emerging trends you’re starting to see happen at the edge, that maybe weren’t on the industry radar a few years ago? 

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