Agentic data science with the Data Agent Kit
cloud.google.com·6h ago
AI Research
arXiv CS.AI·Sep 9·5 min read
From Event Logs to Governed Action: A BlueSky Agenda for Agentic Process Mining
TL;DR
A new agenda for process mining is proposed, focusing on transforming event logs into governed actions through agentic AI. This approach emphasizes accountability and decision-making based on evidence, privacy, and risk.
✦ Why It Matters
Start integrating agentic AI principles into your process mining strategies to enhance decision-making accountability.
Key Takeaways
- Develop event-object representations for better data understanding.
- Create action evidence packages to support decision-making.
- Establish governance contracts to define authority and accountability.
- Implement benchmarks for diverse decision outputs in process mining.
Full Summary
Process mining traditionally analyzes event logs to extract insights about organizational processes, such as identifying bottlenecks or predicting outcomes. However, with the rise of agentic AI, the focus shifts from merely understanding past events to making informed decisions about future actions.
This BlueSky paper introduces the concept of event-to-action process mining, which aims to convert diverse operational event data into actionable insights governed by specific criteria. The authors advocate for the development of four key artifacts: event-object representations, action evidence packages, governance contracts, and benchmarks that allow for various decision outputs like act, defer, ask, and refuse.
This initiative is timely as it aligns with advancements in business process management, causal monitoring, and privacy-preserving learning, ultimately aiming to enhance accountability in organizational behavior.