Process Mining and AI

Content: 00:06 Introduction Process Mining and AI 00:57 Comparison between Data Mining and Process Mining • 01:21 Similarity • 01:48 Differences 02:43 Why Process Mining: Business Process Management 04:07 Event Log: ERP, CRM, WFM and BPM systems 05:29 Event Log Extraction 05:55 SAP table example: Table to Process Mapping 06:55 3 main types of Process Mining 07:55 Process Mining with Celonis - Process Discovery 09:16 Conformance checking 10:11 Review Violations and Enhancements 10:40 Additional Perspectives 12:01 Advantages of Process Mining: Audit 13:24 Integrating Process Mining with AI • 13:24 Event Data Creation • 15:12 Process Model Generation • 15:54 ML Models for Decision Making • 17:09 Enhanced Accessibility to Software • 18:14 Custom LLMs 19:24 Relevant literature from CARLAB 19:41 Research References Description: Explore the dynamic intersection of Process Mining and Artificial Intelligence (AI) in this enlightening session from the World Continuous Auditing & Reporting Symposium (WCARS) 2024. This comprehensive presentation delves into the fundamentals of Process Mining, its distinctions from and similarities to Data Mining, and its role in business process management. Learn about the critical importance of event logs from ERP, CRM, WFM, and BPM systems, and understand how data extraction and mapping drive actionable insights. Discover the three primary types of Process Mining—Process Discovery, Conformance Checking, and Reviewing Violations—and how they are applied using tools like Celonis. Gain insights into integrating Process Mining with AI, including event data creation, process model generation, machine learning for decision-making, and enhanced software accessibility through custom Large Language Models (LLMs). The session also highlights the advantages of Process Mining in audit, offering additional perspectives and referencing groundbreaking research from CARLAB. #processmining #ai #audit