18 Jan The next generation of process mining software is on its way
PAF successfully completes the research project DRUP supported by the Federal State of Hesse
Darmstadt, 18.01.2019 –The Process Analytics Factory GmbH (PAF) has successfully completed the research and innovation project DRUP (Deep Reasoning for automatic problem identification in unknown processes). With the development of AI technologies for better business processes, the project promises to be a key to success for the digital workplace and the digital transformation.
The aim of the project was to use artificial intelligence (AI) techniques to better understand and subsequently improve the process structures of unknown operational data. The performance of operational business processes is automatically analyzed and evaluated. Deviations from planned procedures in business processes, such as compliance violations or inefficiencies, are automatically detected and presented to the user in a clear manner.
What is special about this is that the technology improves decision-making processes without having to rely on knowledge of business processes. This results in an easy-to-use analytical technique that has positive effects on employee productivity and job satisfaction. The result will be a business-focused technology for more teamwork and AI-based productivity in the workplace.
What project participants say
“Once again the PAF demonstrates its innovation leadership in the process mining market,” says Tobias Rother, CEO & Founder of PAF. “This research project creates completely new possibilities for integrating Artificial Process Intelligence into key operational core processes and applications. Not only do companies save time and money on implementation, they also accelerate their optimization projects.”
Prof. Dr. Max Mühlhäuser from Telecooperation Lab at Technische Universität Darmstadt adds:
“We are excited about the results of our joint project with PAF. PAF is arguably the brightest SME star in the German business process mining sky. In our joint project, we were able to combine outstanding research results — at the forefront of AI for process mining — with tangible, readily usable results for the industry. This goal is often pursued in joint academia-SME projects yet hardly ever achieved. The success of the DRUP team deserves my highest respect and admiration.”
About the project
The joint project, funded in the 6-digit range, took place under the direction of the Process Analytics Factory GmbH, together with the Technical University Darmstadt, as well as other practice partners in the period 01.02.2017 to 31.07.2018. Part of the funding was provided by the LOEWE – Landes-Offensive zur Entwicklung wissenschaftlich-ökonomischer Exzellenz (Federal State Offensive for the development of scientific and economic excellence).
About Process Analytics Factory PAF
Darmstadt-based Process Analytics Factory GmbH is global provider of artificial process intelligence with its PAFnow software. PAF enables companies to take advantage of their wealth of data to improve their processes here and now and to launch a successful digital future. PAF was founded in 2014 by Tobias Rother. In 2017, PAF was awarded the BARC Start-Up Award for Analytics and Data Management. Since 2018, the award-winning solution has been listed in the “Gartner’s 2018 Process Mining Market Guide”.
PAFnext combines the research and development of innovative technologies from the areas of process mining and artificial intelligence. Within this practical innovation research PAF turns prototypes from areas such as blockchain, predictive analytics, industry 4.0 and robotic process automation (RPA) into patentable innovative products and services. PAF holds an international leading position in innovation research in the process mining market. PAF provides these competencies to the PAFnetwork, a rapidly growing community of partners and user companies with a curiosity for innovation in the field of artificial process intelligence. PAF – The Next Now. Contact us now.
About the Telecooperation Lab at Technische Universität Darmstadt
Telecooperation Lab (TK) at Darmstadt Technical University, Department of Computer Science, researches concepts and methods for human-centered smart spaces of all sizes: from personal cyber workstations and intelligent meeting rooms to smart cities and intelligent, resilient infrastructures. Our unique strength is our ability to combine different research areas in support of Smart Spaces: advanced networking (e.g. Edge Computing and IoT platforms), applied AI (e.g. Federated Assistance and Process Mining), HCI (e.g. AR/VR and Tangible 3D-Printed Interaction) and cybersecurity (e.g. Privacy and Trust).
Prof. Dr. Max Mühlhäuser is heading this group together with several senior researchers and group leaders. We coordinate a doctoral school (DFG Research Training Group) on Privacy and Trust for Mobile Users, play a major role in the national cooperative research center on the Future Internet and conduct various research projects funded by the EU, federal and state ministries, and industry.