52. The Thinking Factory: How AI Is Giving MES a Brain with Francisco Almada Lobo
Unplugged: An IIoT PodcastShow Notes
What does it take for AI to actually deliver on the factory floor? In this episode, we explore why most manufacturing AI pilots never make it to production, and what changes when you get the data architecture right. Francisco Almada Lobo, CEO and Co-Founder at Critical Manufacturing, joins Phil Seboa and Ed Fuentes to discuss MES as the foundation for manufacturing AI, why context beats compute, and what regulated industries need before they can trust AI in production. Key topics in this episode: What MES is and why it keeps expanding beyond process control Why Audi's 100+ AI initiatives failed to scale to production "Fat events": enriching IoT data with MES context for AI workloads Design-time AI vs runtime AI in regulated manufacturing The first FDA warning letter for unauthorized AI use Why this technology revolution gives no time for adjustment This episode is proudly made possible by FlowFuse. FlowFuse is the industrial application platform that helps operations, maintenance, and IT teams connect any machine, move data between systems, and scale industrial applications across sites. It is built on Node-RED, with the security and governance you need for real production environments. Learn more at flowfuse.com. Connect with Francisco on LinkedIn: linkedin.com/in/falmadalobo Connect with Phil on LinkedIn: linkedin.com/in/philseboa Connect with Ed on LinkedIn: linkedin.com/in/edfuentes Learn more about Critical Manufacturing: criticalmanufacturing.com Book mentioned: "Agentic Artificial Intelligence" by Pascal Bonnet
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This episode is brought to you by Canary Labs, and Cirrus Link Solutions.
This episode is brought to you by Cirrus Link Solutions and Canary Labs. Cirrus Link: https://unpluggediiot.com/go/cirrus-link Canary Labs: https://unpluggediiot.com/go/canary-labs
Phil Seboa and Ed Fuentes sit down with David Ariens (Analytics For Industry / AVEVA) and Willem van Lammeren (Syensqo) to explore why IT/OT convergence fails — and what organisations actually get right when convergence works.
What changes when the assets you operate stop being centralised and predictable, and start being distributed, intermittent and weather-dependent? The old operations playbook breaks — and most digital programmes are still designed for the old one. Dr Hema Wadhwa, Associate, Data & Analytics | Asset Management and Performance at Aurecon, joins Phil Seboa and Ed Fuentes to talk about building digital asset intelligence for the energy transition. Hema's career is a live map of that transition: she started as a Floating Systems Engineer in global oil and gas, moved through subsea engineering and power generation operations, and now leads digital strategy and analytics for mixed energy asset fleets. Key topics in this episode: - The unplanned career arc — floating production systems and subsea engineering into renewable operations - "Are you here to take my job?" — what digital transformation actually feels like from inside the control room - Why the solution providers have to evolve, not the operators - One gas turbine versus a hundred wind turbines: why renewable fleets break the old operations model - No standard across vendor SCADA screens and UIs, and what that inconsistency costs - Why there is no AI magic without the data groundwork first — and why selling it that way isn't ethical - Cognitive load: lean frontline teams, PDF report fatigue, and tools that land as a burden - OT/IT convergence and the cybersecurity questions that come with opening it up - OEM warranties and whether asset owners really have access to their own asset data - Recording data when it changes, not on a fixed scan rate - One source of truth, different views per role — data presented so it guides a decision - Predicting failures months ahead: cranes, spares, and turning downtime into planned work - BESS as a trading platform, not just another renewable asset - Why the real cost driver is people, and why it only stacks up if it scales across assets