New CTO appointed as company continues rapid expansion
in PAF | Press

New CTO appointed as company continues rapid expansion

Process Analytics Factory PAF appoints Timo Nolle as Executive Vice President & CTO

Darmstadt, January 8, 2018 – Process Analytics Factory (PAF), a leader in Artificial Process Intelligence Technology, today announced the appointment of Timo Nolle as Chief Technology Officer (CTO). Timo Nolle will be responsible for research & development as well as product development at PAF with immediate effect. Prior to his appointment and under his leadership, PAF has successfully built PAFnow Process Mining, a world-class Process Mining product. Just recently, BARC, a leading enterprise software industry analyst, announced Process Analytics Factory (PAF) as winner of the BARC Startup Award 2017. The Award recognizes excellence in data and analytics technology, which can be converted into real business value.

This executive appointment reinforces and strengthens PAFs efforts in building next generation artificial process intelligence and Process Mining software. Technology transfer, from fundamental research in artificial process intelligence, to trendsetting software products at PAF, is supported by Germany´s Federal Ministry of Education and Research (BMBF) as well as by the Federal State of Hesse (Hesse Model Projects).

Timo Nolle
Artificial intelligence is firmly on the new CTOs agenda: “PAFs objective is to leverage artificial intelligence for automated decision support through deep reasoning in unknown processes”, he explains. We will make it easier for organizations to leverage artificial process intelligence results for digitalization, transformation and migration projects.

Tobias Rother, PAF founder & CEO says: „I feel fortunate that we have such a talent within our company, who will help us deepening our machine and deep learning expertise to harnessing the power of artificial intelligence for Process Mining”.

About Process Analytics Factory PAF

PAF produces software for artificial process intelligence, supporting organizations in the use of big data and digital transformation. The centerfold of development by PAF is APRIL, an analytics framework of the next generation, supporting users in intelligent evaluation of process data from operative systems. APRIL comes with analytic functionality and visualization components, easily and effortlessly integrated in existing methods and applications.

Recently introduced by PAF is PAFnow, an APRIL-based Process Mining tool in Microsoft Power BI, the leading BI tool worldwide, and Microsoft Office 365. PAF is thus the first enterprise to make Process Mining accessible very simply over the digital workplace of the future.