Media:3 2 Lindstaedt - Institut AIFB

Institut für Angewandte Informatik
und Formale Beschreibungsverfahren
Kolloquium Angewandte Informatik
Data-driven Business as a Cognitive Computing Challenge
Prof. Dr. Stefanie Lindstädt
Universität Graz & Know-Center Graz
Today, big data is primarily viewed as a quantitative phenomenon along the dimensions of volume, velocity
and variety. Current research and development in the area focus on advances in data management
infrastructure and computational performance. Current data-driven business models mostly capitalize on
previously untapped data sources. This focus on enabling technologies and early-adopting exploitation is
about to change: The veracity dimension of big data emphasizes understanding and trust of human decision
makers, who require actionable knowledge for data-driven business. Recent studies suggest big data analytics would hugely benefit from tagging and (semantic) enriching, involving humans in the loop. Promising
application domains for big data analytics include entertainment, social media, consumer images and
medical data, as well as Open Science. Sustainable success in the future data-driven business will be based
on balancing the interplay between data, analytics, (human) domain knowledge, human cognition and social
interaction, combining data-driven with human-centered approaches. Within the Know-Center, we therefore
approach data-driven business as a cognitive computing challenge. Cognitive computing aims at creating
systems that “interact naturally with humans, learn from their experiences and generate and evaluate
evidence-based hypotheses”. We expect that integrating this approach with (big) data analytics will enable
humans to use all their cognitive capability to solve significant more complex problems by leveraging
enormous amounts of data.
Dienstag, 03. Februar 2015, 11.30 Uhr
Englerstraße 11, 76131 Karlsruhe
Kollegiengebäude am Ehrenhof (Geb. 11.40), 2. OG, Raum 231
(Hinweise für Besucher:
Veranstalter: Institut AIFB, Forschungsgruppe Wissensmanagement
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Interessierten herzlich ein.
Andreas Oberweis, Hartmut Schmeck, Detlef Seese, Wolffried Stucky, Rudi Studer (Org.)
KIT-Campus Süd
Institut AIFB – Geb. 11.40
Kaiserstr. 89
76133 Karlsruhe
KIT-Campus Süd
Institut AIFB – Geb. 11.40
76128 Karlsruhe
KIT – Universität des Landes Baden-Württemberg und nationales Forschungszentrum in der Helmholtz-Gemeinschaft