Process Intelligence Solutions develops the process mining software solutions PM4Py and PMTk and distributes licenses for commercial and academic use.

Process Intelligence Solutions

Process Intelligence Solutions is a spin-off from Fraunhofer FIT that develops process mining software solutions PM4Py and PMTk and distributes licenses for commercial and academic use.

Process Intelligence Solutions | 676 followers on LinkedIn. Developing unique process mining software solutions | A Fraunhofer FIT spin-off | Process Intelligence Solutions (PIS) is a spin-off of Fraunhofer FIT and develops the process mining software solutions PM4Py and PMTk.

PM4Py, which stands for Process Mining for Python, is an open-source software library written in Python. It implements various process mining algorithms, from process discovery to conformance-checking and process enhancement approaches.

Research Assistant presso PADS Group in RWTH Aachen University

Alessandro Berti

Managing Director at PIS—Process Intelligence Solutions

Daniel Schuster

Computer Science (M.Sc.) Student @ RWTH | Software developer @ PIS

Daniel Cegielski

We have just released #PM4Py version 2.7.12. Simply run "pip install pm4py" to explore the world of #opensource #processmining . Happy mining!

PIS — Process Intelligence Solutions is a newly founded spin-off of Fraunhofer FIT that develops the #processmining solutions #PM4Py and #PMTk 🚀 More info at https://lnkd.in/esf3qh_a

Join us at the First International Workshop on Generative AI for Process Mining, co-located with ICPM 2024 at the Technical University of Denmark, Copenhagen, on October 14, 2024. https://lnkd.in/eMgVBqcM Why Submit? - Explore the intersection of Generative AI and Process Mining. - Share and discover novel research, methodologies, and case studies. - Connect with industry and academia for advanced discussions on GenAI applications in process improvement, analysis, and execution. - Discuss the integration of GenAI with blockchain, RPA, BPM systems, and more. We welcome Submissions on: - Innovative process mining tasks powered by GenAI. - Process modeling, automation, and transformation using GenAI. - Strategies, challenges, and case studies on implementing GenAI in process mining. - Future directions and impacts of GenAI in process improvement and analysis. Submission Types: - Full Papers (up to 12 pages) - Implementation Papers (up to 6 pages) - Visionary Papers (up to 4 pages) Selected research papers will be published in the Lecture Notes in Business Information Processing (LNBIP) by Springer. For more details and submission guidelines, visit our submission portal: https://lnkd.in/esZWRcS5 We invite researchers, practitioners, and industry professionals to contribute and participate in shaping the future of process mining with GenAI.

Excited to share that we've taken a step forward in process mining by integrating pm4py with NVIDIA RAPIDS! This powerful combination allows us to leverage GPU acceleration for process mining tasks, making operations significantly faster and more efficient. With pm4py, you're not limited to CPU processing. Now, you can utilize GPU-based data structures and computations to enhance performance. This integration is seamless for any workstation equipped with NVIDIA CUDA and the NVIDIA RAPIDS framework, requiring no additional setup. Whether you're working with traditional or object-centric event logs, the benefits are clear. For instance, computing variants on traditional event logs is now orders of magnitude faster on GPUs. Similarly, feature extraction from object-centric event logs sees a massive speed boost, thanks to GPU processing. Dive into the world of GPU-accelerated process mining with pm4py and NVIDIA RAPIDS today and experience unparalleled efficiency in your data analysis tasks.

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Process Intelligence Solutions

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