The 3rd International Conference on Big Data Innovations and Applications
(Innovate-Data 2017)
21-23 August 2017, Prague, Czech Republic
Keynote Talks

Past Events

Keynote Talks

Keynote : Digital Transformation - Not an Easy Ride!

Dr. Mazin Yousif
T-Systems, International

Data has been growing at exponential rates, continuously generated by almost everything around such as systems, sensors and mobile devices. The industry is also amplifying data through trends such as trends such as Internet of Things (IoT) and social networks. The term “Big Data” was conceived to refer to data that are generated at rapid velocities; with substantial volumes and large varieties and that cannot be handled with traditional methods. Big Data includes structured, semi-structured and unstructured data formats. Volumes and velocities are relative and depend on the underlying systems and types of businesses. Big data became a trendy topic in academic research and industry because businesses are thinking they can realize better commercial value when they adopt big data. However, to go through digital transformation to become a data-driven organization or data-driven business is easier said than done. The challenges usually revolve around developing a data strategy; building the skills to harness data; what is the right intelligence, alignment between the current IT methods and data-driven-required-IT; building the right governance to bring all internal businesses in a company to adopt big data; etc. Given the above, I will talk about the Digital Transformation process and provide an overview of big data, talk about specific big data challenges and cover how to become a data-driven enterprise or data-driven business.

Dr. Yousif is the Global Chief Technology Officer and Vice President of Architecture for the Royal Dutch Shell Global account at
T-Systems, International. Before joining T-Systems, he spent some time with IBM, Avirtec and Intel. He was also a Professor at Louisiana Tech University.
Dr. Yousif serves in the Board of Directors of several startup companies. He chaired the Advisory Board of the
European Research Consortium for Informatics and Mathematics (ERCIM). He is the Founding Editor-In-Chief of the IEEE Cloud Computing Magazine . He founded the NSF Industry/University Cooperative research Center for Autonomic Computing and delegated to three Professors to complete the needed paperwork.
Dr. Yousif was an adjunct professor in several universities including Duke, NCSU, OGI, Arizona and Portland State. He has served as the General Chair or Program Chair for many conferences and serves in the editorial board of many journals. He is a frequent speaker in academic and industry conferences on topics related to cloud computing, big data and autonomic computing. He has also published extensively and was an IEEE Distinguished Visitors Program speaker from 2008-2013.

Keynote : Big Data 2.0 Processing Engines

Prof. Sherif Sakr
King Saud bin Abdulaziz University for Health Sciences

For a decade, the MapReduce framework, and its open source realization, Hadoop, has emerged as a highly successful framework that has created a lot of momentum such that it has become the defacto standard of big data processing platforms. However, in recent years, academia and industry have started to recognize the limitations of the Hadoop framework in several application domains and big data processing scenarios such as large scale processing of structured data, graph data and streaming data. Thus, we have witnessed an unprecedented interest to tackle these challenges with new solutions which constituted a new wave of mostly domain-specific, optimized big data processing engines. In this talk, we refer to this new wave of systems as "Big Data 2.0 processing systems". We provide a taxonomy and analysis of the state-of-the-art in this domain. In addition, we identify a set of the current open research challenges and discuss some promising directions for future research.

Prof. Sherif Sakr is currently a Professor of Computer Science at King Saud bin Abdulaziz University for Health Sciences. He is also affiliated with The School of Computer Science and Engineering (CSE) at University of New South Wales (UNSW Australia) and Data61/CSIRO (formerly NICTA). He received his PhD degree in Computer and Information Science from Konstanz University, Germany in 2007. Dr. Sakr held a visiting Researcher/Professor appointments in international reputable research and academic institutes including Macquarie University (2008-2009), Microsoft Research, Redmond, USA (2011), Nokia Bell Labs, Ireland - Formerly Alcatel-Lucent Bell Labs (2012), Humboldt-Universität zu Berlin, Germany (2015), University of Zurich, Switzerland (2016), Technical University of Dresden, Germany (2016). In 2013, Sherif has been awarded the Stanford Innovation and Entrepreneurship Certificate. Dr. Sakr's research interest is data and information management in general, particularly in big data processing systems, big data analytics, data science and big data management in cloud computing platforms. He is an associate editor of the cluster computing journal and Transactions on Large-Scale Data and Knowledge-Centered Systems (TLDKS). He is also an editorial board member of many reputable international journals. Dr. Sakr is an IEEE Distinguished Speaker

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