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 ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Data mining and knowledge discovery represent an integrative process through which large, complex and heterogeneous datasets are transformed into actionable insights. This field encompasses a series ...

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 management is the process by which businesses gather, store, access and secure data from business software solutions. Here’s what you need to know.

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 ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

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 ...

The impact of AI and agents is arguably larger than PCs or cloud, but what makes it more disruptive is how quickly it is evolving. Just over two years ago, no one had even heard of ChatGPT. Now, AI is ...

Artificial intelligence (AI) and machine learning (ML) are revolutionizing the way we understand and predict soil processes. Yet, while data-driven models ...