Welcome to the Trend Detection podcast, brought to you by Senseye
Predictive Maintenance – which gives you visibility and insights
into all your assets, from single machines to full plants to help
you reduce downtime, increase knowledge sharing and accelerate
digital transformation across your organization.In this episode,
we’re joined by Lina Huertas, Industry Executive for Manufacturing
at Microsoft UK, to explore how generative AI, copilots, and
agentic AI are reshaping digital manufacturing — not just speeding
up tasks, but changing how work is designed, delivered, and
governed.We unpack the difference between copilots (which assist
and enhance human work) and AI agents (which can complete tasks
end‑to‑end within defined boundaries), and what this shift could
mean across the shop floor, engineering, and back office.You’ll
learn:How copilots and agentic AI differ — and why that matters for
manufacturing workflows and roles.How organisations are thinking
about moving from assistance to more end‑to‑end task execution
(with human oversight and clear boundaries). Why human–AI
collaboration is becoming a core capability, with work shifting
toward supervision, decision‑making, leadership, and critical
thinking.The key barriers to scaling AI in manufacturing: data
silos, fragmented systems, shadow IT, and organisational
structure.The skills manufacturers (and individuals) need next:
hands‑on AI literacy, “learning how to learn,” and leading in a
workforce that increasingly includes AI systems.You can find out
more about how Senseye Predictive Maintenance can reduce unplanned
downtime and contribute towards improved sustainability within your
manufacturing plants, by visiting:
www.siemens.com/senseye-predictive-maintenanceConnect with Lina on
LinkedIn:https://www.linkedin.com/in/linaahuertas/
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