Decode the complexities of manufacturing. From digital threads to workflow automation, access the definitive guide to the terminology driving the next generation of assembly.
Shadow CUI refers to controlled unclassified information that exists outside recognized, monitored, or formally managed data stores and processes.
NIST SP 800-171A is the NIST publication that provides assessment procedures for evaluating conformity to NIST SP 800-171 controls.
A DFARS contract clause addressing use of the DoD cyber incident reporting network and related information handling.
A protected IT/OT computing environment designed to store, process, and transmit Controlled Unclassified Information (CUI).
A DFARS contract clause requiring DoD contractors to comply with the Cybersecurity Maturity Model Certification (CMMC) program.
5 Whys is a root cause analysis technique that repeatedly asks "why" to trace a problem back to its underlying cause.
A structured method for assigning numeric or categorical values to risks to compare, prioritize, and track them over time.
The degree to which a human can understand how an algorithmic or AI model produces its outputs from given inputs.
AI (artificial intelligence) refers to computer systems that perform tasks typically requiring human intelligence, such as pattern recognition, prediction, and decision support in manufacturing operations.
Formalized statements that define or constrain how a business process, system, or workflow should operate and make decisions.
An existing, already-operational manufacturing or industrial site where new systems must integrate with legacy equipment and processes.
A control pattern where approvals are granted based on a user’s role rather than individual identity, supporting traceable, rule-driven decisions.
The process of creating, selecting, and transforming input variables so data can be used effectively by machine learning models.
Model drift is the degradation of an AI or statistical model’s performance over time as data or process conditions change.
A design approach where human operators remain responsible for reviewing, approving, or overriding automated system outputs, including AI.
SHAP is a model-agnostic method that explains AI model outputs by attributing each feature’s contribution using Shapley values.
A nonconformance in a product, material, or process output that does not meet defined specifications or requirements.
Advanced analytics commonly refers to data analysis techniques such as predictive, prescriptive, and multivariate methods used to derive deeper insights and support complex decision-making.
The fifth generation of mobile network technology.
Edge Computing
Computing that is done at or near the source of data generation.
Big Data Analytics
The graphical representation of information and data.
Machine Learning
A simulated experience that can be similar to or completely different from the real world.
Data Visualization
An interactive experience that combines real and virtual elements.
Data Modeling
A decentralized digital ledger technology.
Aerospace Manufacturing
The management of the flow of goods and services.
Cloud Computing
The use of technology to perform tasks without human intervention.
Network Infrastructure
The integration of digital technology into all areas of business.
Edge Computing
Protection of computer systems from theft or damage.
Aerospace Manufacturing
Extremely large data sets that can be analyzed for insights.
Big Data Analytics
Machine learning is a field of computing where algorithms learn patterns from data and make predictions or decisions without explicit programming.
Real-Time Data
The process of analyzing data to extract insights.
Aerospace Manufacturing
Using remote servers for data storage and processing.
Data Architecture
Connecting IoT devices to data systems.
Data Governance
The ability to connect and transfer data between systems.
Cybersecurity
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