Marc Wilczek

Marc Wilczek

no longer active

Big Data und Cloud Computing, das sind die Themen, die Marc Wilczek umtreiben – und das nicht erst seit 2013, seitdem er nämlich als Leiter des Bereichs Portfolio, Innovation & Architecture bei Computing Services & Solutions (CSS) in der Delivery unter anderem genau für diese Themen verantwortlich ist. Schon seit längerem nutzt er auch Veranstaltungen oder Diskussionsrunden als Forum, um die T-Systems-Expertise rundum Cloud und Big Data zu verbreiten. Dabei durchaus auch mit Blick über den IT-Experten-Tellerrand hinaus. Grundlage hierfür ist sein breitgefächertes Interesse für Politik, Wirtschaft und strategisches Management. Begonnen hat Marc Wilczek seine berufliche Karriere 1996. Seitdem konnte er viele Erfahrungen in den unterschiedlichsten Führungsrollen innerhalb der ICT-Industrie sammeln, so u.a. als Managing Director, Asia Pacific bei Utimaco Safeware und Senior Vice President bei der CompuGroup Medical AG. Bei T-Systems ist er seit 2012.

20. June 2014 0
Digitization
Marc Wilczek

The benefits of using big data in healthcare (Part 2)

Big data makes personalized medicine possible to the benefit of patients. Big data is giving doctors increasing possibilities to find the optimal diagnoses and treatments for each illness phase. Patients are saved from multiple visits to different specialists. Cost efficiency in the healthcare sector can also be boosted significantly through the comprehensive integration of the relevant data. (more…)
12. June 2014 0
Digitization
Marc Wilczek

Big data is much more than just data storage

Big data is a trend that is attracting the attention of more and more business enterprises. According to a study conducted by Gartner analysts, 64 percent of the organizations surveyed intend to launch big data projects. This is understandable because this technology promises to deliver concrete competitive advantages by enabling businesses to react much faster to changing market developments and customer demands. But are German enterprises ready to cope with these huge volumes of data? (more…)
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