The Future of Industrial IoT: Insights from the 2023 AIMST Conference

Over the Air · 13 Oct 2023 · 38m

AI in practice: 2 real uses of AI described

What this episode covers

Ryan Prosser and Bethany Ibarra of Very interview leaders at the 2023 AIMST Conference, including Solomon Levy of Roboflow, Andrew Hines of Stratus Technologies, Austin Byers of TX1, Suzanne Loda of Agco, and Ryan Legg of Iconics. They discuss the shift toward operational technology (OT) security, the use of computer vision for quality assurance, and the challenges of integrating IT and OT systems in industrial settings. Key decisions involve prioritizing availability over confidentiality in OT, consolidating edge computing workloads, and simplifying deployment for legacy manufacturing environments.

AI in practice

Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.

Engineering & simulationRoboflowproject completion time reduced from 3-5 months to 24 hours

Roboflow allowed developers to build computer vision projects in 24 hours that previously took three to five months, enabling them to focus on data collection and future planning rather than initial development.

“what they did is they took our product and they said, hey, developers, go and build it for free. … projects that have once taken them three, four, 5 months to do. They're able to complete in 24 hours now…”

Solomon Levy · Hear it at 6:05

Engineering & simulationTX1network sensor deployment in under 15 minutes

TX1 employs auto-learning algorithms to analyze network and OS behavior, automatically recommending security policies and protections to simplify deployment for non-experts and ensure operational continuity.

“we employ auto learning to where we can say, whether it's at the OS level or on the network level, we can say, hey, this is what we've learned over a period of time. This is what we recommend as far as policies and what protections you can have.”

Austin Byers · Hear it at 19:39

Mentioned

Companies
Very, Roboflow, Stratus Technologies, TX1, Agco, Iconics, Mitsubishi Electric, trend micro, Williams
Also
MES, PLM, ERP

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