The data conductor
In order to develop artificial intelligence (AI) for use in medical technology, our research scientists need one thing above all: colossal quantities of all kinds of correct and secure medical data. Ren-Yi Lo, Head of our Big Data Office, is in charge of collecting, preparing, and organizing these data. So, what does all that have to do with music? Learn that and more in part six of our #Futureshaper series.
A "data lake" is, in principle, exactly what the term suggests: a giant "lake" of semi-structured data. Based in Princeton, New Jersey, USA colleague Ren-Yi Lo manages one such data lake together with her international team.
The quality of the data is decisive
Big data: Invisible, yet essential
I sometimes feel a bit like I'm a 'Jill of all trades*. But I suppose that's really exactly what I have to be for my job.
Head of Big Data Office, Siemens Healthineers
The right data cohorts
Complex standardized process
Anonymization is essential
Sherlock, the AI supercomputer
The big opportunities of digital models
Al-Mekhlal, Monerah; Khwaja, Amir Ali (2019): A Synthesis of Big Data Definition and Characteristics. In: IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC). pp. 314-322. Available online: https://ieeexplore.ieee.org/abstract/document/8919591
Gethmann, Carl Friedrich; Buxmann, Peter; Distelrah, Julia; Humm, Bernhard G.; Lingner, Stephan; Nitsch, Verena; Schmidt, Jan C.; Spiecker (Döhmann), Indra (2022): Künstliche Intelligenz in der Forschung – Neue Möglichkeiten und Herausforderungen für die Wissenschaft. (Artificial intelligence in research – New opportunities and challenges for science) Berlin: Springer, p. 8.
- The presented information is based on research results that are not commercially available. Its future availability cannot be ensured.
- The figures shown here are as of February 2023.