Digital Cognition Frameworks for Contextual Decision Intelligence and Enterprise Wide Operational Automation
DOI:
https://doi.org/10.47363/JMSMR/2024(5)228Keywords:
Digital Cognition Frameworks, Contextual Decision Intelligence, Enterprise Operational Automation, Artificial Intelligence Systems, Cognitive Computing, Intelligent Decision Support, Business Process Automation, Context-Aware Analytics, Enterprise Knowledge Management, Predictive Decision Modeling, Real-Time Data Intelligence, Autonomous Workflow Orchestration, Machine Learning Integration, Adaptive Enterprise Systems, Operational Intelligence PlatformsAbstract
Contextual decision intelligence delivers tailored decision support in complex domains, addressing the challenge of synthesizing information from diverse sources. Enterprise-wide operational automation extends automation capabilities to all routine operational functions, facilitating task execution with minimal human involvement. A digital cognition framework integrates both research streams, fostering interplay between contextual decision intelligence and enterprise-wide operational automation.
Operational automation has long been an aspiration but remains elusive, hindered by previously insufficient levels of decision support. Recent advances in contextual decision intelligence address this issue; contextualized dashboards, for example, provide decision-makers with tailored support. As contextual decision intelligence matures, it becomes appropriate to extend operational automation to all routine operational functions, enabling tasks to be achieved with little human involvement. Operation-specific digital cognition grows from limited deployment, enabling the progressive automation of associated activities. Contextual decision intelligence informs operational automation, which, in turn, influences the performance and timeliness of operational decision support.
Empirical exploration of enterprise-wide operational automation and tangible technical advancement of digital cognition further enrich knowledge in these areas. The growing body of discovery-based contextual decision intelligence case studies lays the groundwork for enterprise-wide operational automation. Addressing operation-specific requirements in the limited-domain supervision of operational functions broadens the scope of automation. Opportunities to enhance contextual decision-intelligence performance via increased reliability, scalability, timeliness, or trustworthiness are identified, with assessment suitable for any digital-cognition deployment.
