Shifting goalposts: Experienced project managers recognize that project goals are often elusive and continuously shift, and that's inherent to the work.
- Rising complexity: Cloud connectivity and AI have significantly increased the complexity of managing engineering processes, challenging the limits of human cognition.
- Beyond software: Modernizing engineering and IT processes requires collaboration and integration that extends past software platforms to how humans plug into the system.
- Industry perspective: Keysight Technologies' Toby Marsden discussed these implications with ENGINEERING.com's Jim Anderton in the context of next-generation manufacturing.
- Automation response: Keysight Technologies offers automated software testing for digital engineering and manufacturing as complexity outgrows manual approaches.
When the Finish Line Keeps Moving
Engineering project management is, at its core, about controlling processes designed to achieve specific goals — a new technology, a new product, a new process. But experienced project managers know something the textbooks gloss over: project goals are often elusive and continuously shift. And in today's environment, that shifting target is accelerating.
Managing complex processes with cloud connectivity and AI has increased complexity significantly. What once was a challenge of coordinating timelines and deliverables has become a challenge of coordinating entire ecosystems of software, data, and people.
The Human Integration Problem
Toby Marsden, vice president of strategic alliances and enterprise sales at Keysight Technologies, framed the issue in a discussion with Jim Anderton, Director of Content for ENGINEERING.com, exploring the implications of AI, cloud, and packed applications in next-generation manufacturing processes.
"Managing complex and layered processes in this age of cloud connectivity and artificial intelligence has introduced a level of complexity that now challenges the limits of human cognition and modernizing an engineering and IT process now requires a level of collaboration and integration that goes beyond different software platforms and directly into how humans plug into the system."
That last point deserves emphasis. Modernizing engineering and IT processes requires collaboration and integration across different software platforms — but the harder problem isn't the software. It's how humans plug into the system. For manufacturing professionals, this reframes digital transformation: it's not purely an IT procurement exercise, it's a redesign of the relationship between engineers and their tools.
Testing as a Pressure Point
As systems grow more layered, verification becomes a bottleneck. Keysight Technologies offers automated software testing for digital engineering and manufacturing, aimed at engineering-driven industries shipping complex products. The logic is straightforward: when complexity approaches the limits of human cognition, manual approaches to quality assurance don't scale. Automation in testing is one practical response to the complexity problem Marsden describes.
The Takeaway for Manufacturing Teams
The conversation, hosted by Anderton — whose background spans engineering journalism — points to an uncomfortable but useful conclusion. Goal drift in complex projects isn't a failure mode to be eliminated; it's a condition to be managed. Organizations that treat modernization as a human-systems integration challenge, rather than a software swap, will be better positioned as AI and cloud capabilities continue to evolve in next-generation manufacturing.
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