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Autosol + Ignition | Edge SCADA, MQTT & AI in Energy - Andrew Hinz - Ep 036
EnergyTech Podcast
24 minutes
1 month ago
Autosol + Ignition | Edge SCADA, MQTT & AI in Energy - Andrew Hinz - Ep 036
Live from ICC 2025 in Sacramento, we sit down with Andrew Hines, Senior Manager of Digital Operations at Autosol. With decades of experience in edge networks and SCADA data collection, Andrew shares how Autosol is helping operators simplify architectures, bridge legacy systems, and enable AI/ML at the edge.In this episode:• Autosol’s role in SCADA polling, OPC UA, MQTT & edge compute• Why Ignition + Autosol is a natural fit for modern architectures• Helping operators migrate from legacy poll/response to edge-driven data• Data simplification: one device, one poll, many consumers• Utilities, oil & gas, and water infrastructure use cases• Digital expectations across generations (Boomer ↔ Gen Z)• Edge Compute as the “plate” analogy (multiple workloads, one box)• Data center & off-grid power challenges: water, cooling, governance• Autosol’s flexibility, openness, and customer-driven feature development• The future of Autosol: enabling AI, machine learning, and MCP with more granular, efficient data📍 Learn more: https://autosoln.com/📍 Inductive Automation Ignition: https://inductiveautomation.com/📍 OpSite Energy: https://opsiteenergy.com/Chapters00:14 Guest Intro – Andrew Hines (Autosol) joins live from ICC 202500:43 What Autosol does + Andrew’s role (Digital Ops & Edge)01:50 Autosol + Ignition partnership explained02:50 Where Autosol fits in edge & server-based architectures04:00 Polling vs Edge-driven: supporting AI/ML at scale05:02 Industry shift: simplification, consolidation & hybrid networks06:29 Autosol’s strategy: legacy customers → edge-ready architectures08:30 Customer-driven development: flexibility & nimbleness09:05 Beyond oil & gas: utilities, water, power infrastructure11:00 Digital expectations & generational workforce gaps12:40 Collaboration, not just software: solving problems with clients14:20 Convergence of data centers, water, and off-grid power15:50 The energy cost of AI: why efficient data pipelines matter17:30 Granular reporting & governance (water/power usage compliance)18:00 Mid-sized operators: how Autosol engages new customers20:05 Edge Compute analogy: plate, knife, fork & the entrée22:00 Flexibility of EACM & multi-application edge boxes23:01 The future of Autosol: openness, AI, and machine learning24:16 Wrap-up & next steps Uygar Duzgun / “Fast Life” / courtesy of www.epidemicsound.com