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!
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Transform Manifesto Principle #6: AI Can be Used Intelligently but Responsibly to Derive Insights from Engineering Data
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.
Transform Manifesto Principle #5: APIs Deliver Data to the Point of Need
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.
Transform Manifesto Principle #4: Engineering Data Should be Machine-Readable
In the not too distant future, machines – not humans – will be the primary consumers of engineering information. Let’s get ready.
Transform Manifesto Principle #3: Interoperability Everywhere
Aren’t you tired of too much silo-hopping?? Engineering data should be interoperable across IP owners, users, and software applications.
Transform Manifesto Principle #2: Single Source of Truth
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.
Transform Manifesto Principle #1: Documents and Content Are Out. Data and Context Are In.
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...
The Digital Transformation Manifesto
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...
The Digital Thread for Engineering Requirements
“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...
Document, Models, and Twins, Oh My! What is a SWISS Digital Model – Part 2
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...
Document, Models, and Twins, Oh My! What is a SWISS Digital Model – Part 1
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...
Digital Models in Department of Defense Procurement
The United States Department of Defense manages one of the largest procurement budgets in the world. Of the department’s $700 Billion annual budget, more than $200 billion is spent on goods and services from contractors.1...
XSB Collaborates with PTC’s Windchill PLM to Close Product Information Gaps
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...