Data contained in documents must be available as authoritative and reusable data objects. Otherwise, engineers will continue to duplicate the same tasks over and over, the world over!
AI is a scalable enabler of insights that can make humans more efficient and help companies reduce cost, time, and errors. But we must recognize AI’s limits and apply it carefully with clear validation – so you can trust the results 100% of the time.
Engineering professionals don’t want to learn another application, visit another “workbench”, or modify their existing workflow; they want actionable intelligence delivered into their existing applications. APIs can make that happen.
In the not too distant future, machines – not humans – will be the primary consumers of engineering information. Let’s get ready.
Aren’t you tired of too much silo-hopping?? Engineering data should be interoperable across IP owners, users, and software applications.
Engineering data should be connected to a single authoritative source of truth, with changes communicated to all. That’s the real power of the digital thread.
By turning documents into data, we can identify, extract, and deliver the contextual and actionable intelligence that users need to make better decisions faster. This is the first in a series about the principles of the Transform Manifesto. If you want to start at the...
Engineers do too much manual labor, which takes too much time, and produces too many errors. It's time for a paradigm shift. Engineering documents have largely been left behind in the wider quest for digital transformation, but as more companies are seeing...
Generative AI is all the rage for its prolific content creation abilities. But in technical environments, more is not always better. "SynthAI" digests massive amounts of information and distills it to what you need to know. We recently read this interesting view...
“Digital thread” is probably a term you’ve heard many times, but it’s not always clear what it means, and often has different nuanced definitions depending on the industry. In this quick primer, we’ll define the digital thread and then focus on one way to make your...
In Part 1 of this series, we defined digital models, digital twins, and the process of change management, impact assessment, and requirements management. We also described the challenges that static PDF documents pose to modern engineering workflow, i.e. they don’t...
Our readers have varying degrees of familiarity with the terms “digital models” and “digital twins,” from experts to novices and everything in between. People and companies like to bandy these words about under the general rubric of “digital transformation”, but they...
A team from XSB including CEO, Rupert Hopkins, board member Bob Solomon, and Andrew Bank won the award for best paper in the 2022 World Standards Day paper competition. Their paper, entitled "The Next Generation of Engineering Standards: A Proposal for Digital...
New Windchill PLM Extension Integrates Critical External Data to Reduce Manual Labor, Accelerate Time-to-Market, and Lower Operational Costs Setauket, NY and Boston, MA. May 4, 2021. XSB, a semantic data science company and member of the PTC Partner Network, today...