During recent years we have witnessed an unprecedented growth in data, emerging from wide range of sources that became available due to the rise of novel technologies as well as completely new ways that we sense and interact with the world. Such Big Data hold enormous unlocked potential of knowledge and information that when unlocked can improve people's’ lives, change the way we live and open new business opportunities.
Tapping to Big Data is not an easy task because of its intrinsic properties: namely vast volume, high velocity, large variety and unknown veracity. During the Future Cloud Workshop on Big Data Analytics we will discuss the ways to efficiently tap into latent knowledge of Big Data as well as data mining and machine learning techniques used for such tasks.We will also look into examples of exploiting the information extracted from Big Data from certain use-case scenarios.
We will start the day with the presentation by EIT Digital Future Cloud action line leader Tua Huomo followed by Professor Divyakant Agrawal (UCSB, USA) who will explore the Big Data problem both from the system perspective as well as from the application perspective in his keynote “Big Data, Deep Learning, and other Allegories: Scalability and Fault-tolerance of Parallel andDistributed Infrastructures”.
Professor Matthias Grossglauser (EPFL, Switzerland) will discuss what interesting patterns can be uncovered from Swiss datasets related to state affairs and politics in his talk “Mining Democracy”. Dr. Ingmar Weber (QCRI, Qatar) will talk about doing Big Data Analytics for health in his talk “Using Social Media for Health Studies”. We will end the day by Dr. Cosmin (Google, USA) will talk about large-scale data processing and analytics using Google Cloud Dataflow.
This public workshop is part of the EIT Digital Future Cloud Summer School.
Hotel Bergendal, Stockholm