From Digital Twins to Confidence Engineering — A Deep Dive with Keysight Chief Technologist Jonathan Wright
from Amelia's Weekly Fish Fry Hosted by EEJournal.com
This week we’re diving into a challenge that’s becoming increasingly important: how do we make sure our engineering workflows, software, data, and AI can all work together reliably? My guest is Jonathan Wright, Chief Technologist at Keysight. Jonathan and I chat about the industry’s shift toward multi-physics and application-specific workflows and how that evolution is changing the way engineering teams tackle system complexity. We also explore the biggest 'hidden' risks engineering teams face today and delve into that "AI Assurance" void that is slipping under the radar of so many engineering teams today.
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Chapters
- 0:07 Intro & Episode Start
- 0:12 Show & Host Introduction
- 0:31 Episode Topic: Engineering Workflows & AI
- 0:49 Guest Introduction: Jonathan Wright
- 1:36 Question: Multiphysics & System Complexity
- 2:17 Keysight History & Customer-driven Design
- 3:00 Design Up Front, Digital Twins & Prototyping
- 3:35 Question: Software Quality Engineering
- 4:49 Evolution of SDLC: V‑Model, Agile, DevOps
- 9:16 The AI Era & Code Generation Risks
- 13:21 Confidence Engineering: Evidence & Trust
- 18:05 Hidden Risks: Data Governance & Context Engineering
- 22:52 Context, Knowledge Graphs & Simulation
- 25:55 AI Assurance, Governance & Training
- 32:15 Bringing Engineering Principles Back to Software
- 34:36 Off-the-Cuff Question: Favorite Meal
- 37:21 Closing Remarks & Contact Info
- 37:33 Outro: Socials & Episode Sign-off
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