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Ignition 8.3, Culture, and Unified Namespace: Amy Williams - Ep. 040
EnergyTech Podcast
21 minutes
1 month ago
Ignition 8.3, Culture, and Unified Namespace: Amy Williams - Ep. 040
Live from ICC 2025 in Sacramento, the Energy Tech Podcast sits down with Amy Williams, Solutions Architect at Skellig Automation. We dig into why culture (not tools) is the first domino in digital transformation, how Ignition 8.3 signals a true Industry 4.0 platform, and why empowering frontline operators beats top-down “model → action” thinking.Amy breaks down an edge-first approach, vendor openness, Unified Namespace (UNS) patterns, and practical “land & expand” plays for manufacturers—plus real life-sciences use cases for ML, golden batch, and PAT (process analytical technology).You’ll learn:- Why culture and mindset shifts unlock transformation- What’s meaningful about Ignition 8.3 (and how to use it)- How to empower operators and converge OT/IT- Picking/opening vendors to fit your digital expectations- Land-and-expand steps that actually stick- Life sciences: ML, golden batch, and PAT in the real worldGuest: Amy Williams — Solutions Architect, Skellig AutomationHosts: Mike Flores & Jeff Perry — Energy Tech Podcast🔗 Skellig Automation: https://skellig.com/🔗 Connect with Amy: https://www.linkedin.com/in/amy-williams-a8974b114/🎧 Energy Tech Podcast: https://opsiteenergy.com/all_podcast🔗 OpSite Energy: https://opsiteenergy.com/Support the show👍 Like, 💬 comment, and 🔔 subscribe. Share this with someone moving from Industry 3.0 → 4.0.Chapters:00:00 Intro00:10 Welcome & guest intro (Amy Williams, Skellig)01:35 Skelligs mission: accelerate life sciences with DT02:26 Culture tools: the mindset shift that matters03:48 ICC 2025 “level up”: venue, Ignition 8.3, Prove-It format06:20 What we’re learning at ICC: takeaways so far07:30 Why Ignition 8.3 matters (refactors, MCP server, AI tooling)09:24 OT/IT convergence & empowering frontline operators12:06 Edge-first data: access, model, contextualize for ML/AI14:34 Vendor openness & buyer power: set digital expectations16:36 Where Ignition fits: UNS, enterprise data reconciliation18:16 Real-time supply-chain lens on one digital architecture18:59 Land-and-expand playbook: find gaps, start small, iterate20:06 Life sciences today: ML, golden batch, PAT use cases21:12 Wrap-up & subscribe
