Turning Manual Manufacturing Variability into Data‑Driven Control – with Sebastian Dykas of Smith+Nephew episode artwork

EPISODE · Jul 28, 2026 · 32 MIN

Turning Manual Manufacturing Variability into Data‑Driven Control – with Sebastian Dykas of Smith+Nephew

from The AI in Business Podcast

A persistent gap remains between what modern manufacturing technology makes possible and how day‑to‑day work is still executed, with paper workflows, limited machine visibility, and siloed data preventing real operational control.   In this episode, Sebastian Dykas, Director of Manufacturing, Engineering, and Maintenance at Smith+Nephew, examines with host Marilie Fouché how tighter data capture and connected systems can move leaders toward real‑time process control and reduced variability. The discussion highlights practical shifts in measurement, machine connectivity, and automation that help teams stabilize output and build more reliable, digitally enabled operations. ​ Learn how leading organizations define the right data — and why cross‑functional collaboration is essential to getting it right. Download our free PDF report, "Beginning with AI," at emerj.com/aik1  

Episode metadata supplied by the publisher feed · Published Jul 28, 2026

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Turning Manual Manufacturing Variability into Data‑Driven Control – with Sebastian Dykas of Smith+Nephew

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