Seeking efficiencies and streamlining operations, businesses have been turning to AI-based automation. As they pursue this, they need a way to look beyond their assumed processes to improve their ...

Those who follow trend lines in enterprise technology have seen these two things bandied about at increasing rates for the last few years. Technologist and executives who have worked companies that ...

Lucas M. Schroth and Urszula Jessen founded Process.Science to address inefficiencies in traditional data analysis. The company utilizes an AI-powered process mining platform that integrates ...

Everyone knows what data mining is, but the term “process mining” may be new to some. According to Gartner, process mining is a methodology used to discover, monitor and improve processes that already ...

No matter the size or scope of an organization, there is little question that everyone wants to find ways to improve their performance. Baseball teams use sabermetrics; companies often use the stock ...

Real-time, automated process optimization can fix everything from the supply chain to the planet. Who benefits from process mining? The short answer: everyone. Getting 360-degree insight into your ...

NEW YORK & MUNICH--(BUSINESS WIRE)--Celonis, the global leader in Process Mining and Process Intelligence, today announced that it has been named a Leader in the Gartner Magic Quadrant for Process ...

Celonis, a Germany-based maker of process-mining tools, has announced several key acquisitions, capabilities, and partnerships involving its core platform. These include the launch of the Celonis ...

Professor Wil van der Aalst, Chief Scientist at Celonis, explains how an object centric approach transforms process mining from two dimensional to three dimensional. Professor Wil van der Aalst is ...

Process mining and Generative AI are two powerful technologies that are revolutionizing the field of data science. Process mining involves extracting knowledge from event logs to gain insights into ...

Data mining is an analytical process designed to explore and analyze large data sets to discover meaningful patterns, correlations and insights. It involves using sophisticated data analysis tools to ...