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This cluster examines the application of artificial intelligence to automate, optimize, and support decision-making within business processes.
A conceptual framework for using AI to support and scale human decision-making with data-driven insights.
A concept for information systems that combine data, models and interactivity to improve decision-making processes.
Concept for using AI in customer support to automate workflows, personalize interactions and integrate with existing CRM processes.
Concept for using AI models and data-driven automation to support IT operations, monitoring and incident management.
Systematic approach to analyze and improve processes to increase efficiency, quality, and throughput.
An approach for systematically increasing value created and throughput across teams and organizations using process optimization, metrics and continuous improvement.
Concept for automating decisions using explicit rules, decision models and decision services within software and business processes.
A combination of traditional process automation and cognitive services to automate complex business processes with adaptive exception handling.