VP Smart Data Analytics & Communication, Deutsche Telekom Dr. Susan Wegner is responsible for the innovation field “Smart Data Analytics & Communications” of Telekom Innovation Laboratories. The focus areas within this field are strategically derived from the key drivers of future telecommunication business: web-based Communication, Big Data and User Driven Innovation. "Data Analytics" is an important area within this field, with considerable activity going towards establishing Deutsche Telekom as a safe and transparent innovation partner in this emerging market. To ensure that new innovative solutions go quickly to market, smaller companies like "Motionlogic" have been established in the form of new ventures. Dr. Susan Wegner studied Computer Science and Mathematics at the Technical University of Berlin and at the University of North Carolina at Chapel Hill. She is married and has over 10 years’ experience in designing and managing innovation development within the Deutsche Telekom group. Abstract: Around the world, data volumes are increasing dramatically, the revenue and savings potential resulting from this growth are enormous. Telekom Innovation Laboratories (T-Labs) is playing a central role in helping Deutsche Telekom to face the challenges posed by this trend and to shape this burgeoning market. When it comes to data analytics, T-Labs is working on concepts for cost-effectively handling and utilization of extremely huge volumes of data. We explore artificial intelligence based data analytics methods to develop innovative and smart applications. In her talk Dr. Susan Wegner will briefly explain operational model of Deutsche Telekom which helps harnessing Big Data and demonstrate how T-Labs applies data analytics to solve real challenges. She will talk about an already launched project – Motionlogic. Motionlogic provides sound analyses of traffic and movement streams based on anonymous signalling data from the mobile communication and WiFi network to answer questions that previously couldn't be analysed or that could only be done so at great expense. As well, heard of smart data analytics will present some of the current R&D activities: Synthetic Data and Network Outages Analysis. Synthetic Data offers the chance to use data which usually isn't available for legal or ethical reasons. Data modeling and the use of appropriate algorithms allow to create artificial synthetic data that has the same characteristics as the original data without being reducible to real individuals. The main goal of Network Outages Analysis is improvement of network outage management using data-driven prediction. The T-Labs’ team investigates how the complexity of the network topology affects the potential for or the severity of power outages.