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 ...

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 ...

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 ...

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 ...

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 ...

One challenge for the business process movement has always been the tradeoff between deep analysis and improvement-oriented actions. Process analysis—understanding and measuring a process and the ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

Data mining isn’t just techno-speak for messing around with a lot of data. Data mining doesn’t give you supernatural powers, either. Data mining is a specific way to use specific kinds of math. It’s ...

When global manufacturing giant Siemens created a central data lake, it had no idea it would generate such positive business benefits. Compliance was the main reason it started to collect data from ...

Data mining and pattern recognition form the cornerstone of modern data science by enabling the extraction of meaningful information from vast and complex data sets. These techniques integrate ...