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constraint

What It Means

A constraint is a rule or limitation that restricts what data can be stored in a system or how an AI solution must be designed and implemented. These are non-negotiable boundaries that come from business requirements, regulatory mandates, technical limitations, or organizational policies that cannot be changed by the project team.

Why Chief AI Officers Care

Constraints directly impact AI project feasibility, timeline, and costs by defining what's possible within legal, technical, and business boundaries. Ignoring constraints leads to failed deployments, compliance violations, and wasted resources, while properly identifying them early enables realistic project scoping and risk management.

Real-World Example

A healthcare AI system has constraints requiring all patient data to remain within specific geographic boundaries due to GDPR, must achieve 99.9% uptime per SLA agreements, and cannot use certain cloud services due to corporate security policies - these fixed limitations shape every technical decision from data storage to model deployment.

Common Confusion

People often confuse constraints with requirements, but constraints are immovable limitations you must work within, while requirements are desired outcomes you're trying to achieve. Constraints restrict your options; requirements define your goals.

Industry-Specific Applications

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Healthcare: In healthcare AI, constraints are critical boundaries that ensure patient safety, regulatory compliance, and ethical dat...

Finance: In finance, constraints include regulatory requirements like SOX compliance for financial reporting, GDPR for data priva...

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Technical Definitions

NISTNational Institute of Standards and Technology
"Specification of what may be contained in a data or metadata set in terms of the content or, for data only, in terms of the set of key combinations to which specific attributes (defined by the data structure) may be attached."
Source: OECD
"A limitation or implied requirement that constrains the design solution or implementation of the systems engineering process and is not changeable by the enterprise"
Source: IEEE_Soft_Vocab

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