Workflow Automation
The systematic execution of business procedures across integrated systems using rule-based and event-driven software logic.

THE TECHNICAL LANGUAGE OF DIGITAL B2B INFRASTRUCTURE
Showing 229 of 229 terms
Showing 229 of 229 terms
The systematic execution of business procedures across integrated systems using rule-based and event-driven software logic.
A machine-readable XML document cataloging canonical URLs to help search engines crawl and index website pages efficiently.
A security architecture enforcing strict identity verification, micro-segmentation, and least-privilege access for all network requests.
Explicit personal data and preferences intentionally and proactively shared by customers directly with an organization.
An international benchmark establishing standardized concepts, principles, and terminology for artificial intelligence.
An international framework defining the components, workflows, and lifecycle of machine learning-based AI systems.
An international overview of trustworthiness factors, vulnerabilities, and mitigations in artificial intelligence.
An international standard detailing measurement methods and mitigation strategies for bias in AI decision-making.
Standards establishing formal and empirical methodologies to assess the robustness of deep neural networks against perturbations.
An international standard establishing life cycle processes and engineering frameworks for artificial intelligence systems.
An international quality model specifying characteristics and evaluation methods for artificial intelligence software systems.
Strategic governance guidance helping governing bodies and executive leadership oversee organizational AI adoption and accountability.
A technical report compiling real-world artificial intelligence use cases and application domain analyses across industries.
A multi-part international standard establishing data quality models, metrics, and governance processes for AI and machine learning.
An international standard establishing a structured data life cycle framework specifically for artificial intelligence systems.
A technical report examining ethical and societal concerns, human rights, and governance considerations in artificial intelligence.
An international standard providing methodologies for assessing the impacts of artificial intelligence systems on individuals and society.
An international standard specifying competence and audit requirements for bodies certifying AI management systems under ISO 42001.
An international standard providing terminology, concepts, and frameworks for knowledge engineering in artificial intelligence.
The systematic execution of business procedures across integrated systems using rule-based and event-driven software logic.
A machine-readable XML document cataloging canonical URLs to help search engines crawl and index website pages efficiently.
A security architecture enforcing strict identity verification, micro-segmentation, and least-privilege access for all network requests.
Explicit personal data and preferences intentionally and proactively shared by customers directly with an organization.
An international benchmark establishing standardized concepts, principles, and terminology for artificial intelligence.
An international framework defining the components, workflows, and lifecycle of machine learning-based AI systems.
An international overview of trustworthiness factors, vulnerabilities, and mitigations in artificial intelligence.
An international standard detailing measurement methods and mitigation strategies for bias in AI decision-making.
Standards establishing formal and empirical methodologies to assess the robustness of deep neural networks against perturbations.
An international standard establishing life cycle processes and engineering frameworks for artificial intelligence systems.
An international quality model specifying characteristics and evaluation methods for artificial intelligence software systems.
Strategic governance guidance helping governing bodies and executive leadership oversee organizational AI adoption and accountability.
A technical report compiling real-world artificial intelligence use cases and application domain analyses across industries.
A multi-part international standard establishing data quality models, metrics, and governance processes for AI and machine learning.
An international standard establishing a structured data life cycle framework specifically for artificial intelligence systems.
A technical report examining ethical and societal concerns, human rights, and governance considerations in artificial intelligence.
An international standard providing methodologies for assessing the impacts of artificial intelligence systems on individuals and society.
An international standard specifying competence and audit requirements for bodies certifying AI management systems under ISO 42001.
An international standard providing terminology, concepts, and frameworks for knowledge engineering in artificial intelligence.