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Several key insights emerged from the discussion, especially on the intersection of process mining and robotic process automation (RPA).
Overview of Kuhn’s Role and Process Mining History (00:30)
Kuhn, part of Celonis’ customer information advisory team, guides customers to extract maximum value from process mining and related technologies. With a wealth of experience spanning 14 years, he is passionate about helping businesses transform effectively. Rudy’s journey in process mining began in 2009. Over the years, he has contributed significantly to the field, founding his own process mining consulting company, which was acquired by UiPath, before coming to Celonis.
Process Mining and Automation Synergy (2:25)
The synergy between process mining and process automation lies in their shared objective of efficiency. Process mining provides a comprehensive understanding of processes, leading to the identification of automation opportunities. However, Kuhn emphasizes the nuanced approach needed when applying automation to specific tasks within a broader process.
Thoughts on RPA (4:21)
Addressing the pitfalls of robotic process automation (RPA), Kuhn points out the importance of situational awareness. With the use of process mining, organizations can detect issues in real-time and trigger automation scenarios to prevent problems before they escalate. RPA can help streamline financial processes, shorten cycle times, and mitigate risks associated with double payments and invoice approvals.
Integration of Automation and Process Intelligence (06:38)
The recent announcement of Celonis’ process intelligence offerings, including the Process Intelligence Graph, complements automation efforts. Kuhn emphasizes the role of the knowledge layer to proactively address incidents. Over time, Celonis will be building more automation scenarios that will be triggering other systems, not necessarily its own, to address incidents. It’s all about talking to other systems and technologies to avoid problems.
AI and Process Mining (8:14)
Kuhn is excited about combining technologies like artificial intelligence (AI) with process mining. He cites the example of car sales and shows how AI-supported process mining can enable car sales to go more smoothly.