franck.AI is a young, innovative data science company founded by Dr. Isabell Franck. Our Munich-based company combines cutting edge research with industrial experience. Our customers are aiming to optimize automated, highly complex industrial production processes. We help our customers to generate an optimized production, reduce costs and achieve environmental benefits as well as to gain a competitive advantage.
Franck is an expert in data analysis and stochastic analysis which she systematically combines with engineering knowledge. She holds a doctorate in mechanical engineering. During her doctoral work as well as her studies at the University of California Berkeley (USA), Cambridge University (UK) and Technical University of Munich, she delved into the quantification of uncertainties, statistical models and parameter quantification.
Franck is also closely associated with universities and in 2020 she also led and represented the Mechanics & High Performance Computing Group at the Technical University Munich. Beforehand she taught statistics for engineers as an external lecturer at the University of the Bundeswehr.
Isabell Franck has been head of the Analytics department at Post CH AG in Bern since mid 2020. Together with her team and as part of Swiss Post’s “Post of Tomorrow” strategy, Franck aims to identify and scale the potential of analytics and AI solutions at Swiss Post. She additionally acquired industry experience at BMW, Siemens and medium-sized companies.
Besides giving talks and workshops for companies, Dr. Franck also regulary gets invited to symposiums and conferences.
B2B software: (data + engineering knowledge) × AI = added value 6. Fachkonferenz: Roboter in der Automobilindustrie (13. Nov. 2019)
(Ingenieurwissen + Maschinendaten) * KI = Smarte Produktion VDI – Unternehmer und Führungskräfte – Themenabend (27. June 2019)
Mit Mensch und Maschine lernen – Eine systematische Verknüpfung von Ingenieurswissen und maschineller Intelligenz zur Optimierung der Produktion 26. Aachener ERP-Tage (6. June 2019)
From large scale inverse problems to the optimization under uncertainty WiDS Munich – Women in Data Science (21. March 2019)
From engineering to data science – the path to becoming founder of a software startup Keynote speaker – Female’s Favour{IT}e 2019 (16. March 2019)
AI-optimized manufacturing processes 5. Deutsch-Chinesische Wirtschaftskonferenz (20. Nov. 2018)
Lackierprozesse regeln durch Machine Learning Karosserielackierung Insight @ BMW 2018 (10./11. Sep. 2018)
Mit Mensch und Maschine lernen – eine systematische Verknüpfung von Ingenieurswissen und maschineller Intelligenz zur Optimierung der Produktion Automobil Produktion Congress (19. June 2018)