Lecturers: Prof. Dott. Ing. Roberto V. Zicari, with the help of Marten Rosselli and Guest Lecturers
Course start/end: Thursday, 30.04.2015 to Thursday, 16.07.2015
Time and Location:
Thursdays, 14:15 – 15:45, Robert-Mayer-Straße 11-15, Magnus Hörsaal. Please note: The room has been changed to Magnus Hörsaal (it is located in the same building as before)!
Languages: The languages of the lecture series are English and German.
Credit Points: Students can receive 3 CP (details see below).
Course Overview: PowerPoint slides.
Video Recordings: See below (end of page).
Link in QIS/LFS.
The lecture series is organized in cooperation with the Goethe Unibator (http://www.goetheunibator.de/
The final lecture by Mr. Thomas Jarzombek is moved to Monday, July 20, 15:00 – 17:00 at Room H III (Campus Bockenheim), Gräfstraße 50-54,Hörsaaltrakt Bockenheim (2 OG) . [wpdm_package id=’11189′]
The course will offer a set of lectures by distinguished speakers covering the following areas: Big Data, Internet of Things and Data Science.
“The big data phenomenon affects many facets of contemporary life and has the potential to alter governance, the economy, and the very structures of society. Technology and data are poised to increasingly alter many different sectors, including healthcare, education, finance, security, marketing, and transportation to name a few.“ — from “The Social, Cultural, & Ethical Dimensions of ‘Big Data.’“ , March 17, 2014, organised by the Data & Society Research Institute, the White House Office of Science and Technology Policy (OSTP), and New York University’s Information Law Institute.
Important note for students of Computer Science:
This course is also called Softskills, „Ergänzungsmodul“. An additional module („Ergänzungsmodul“) is mandatory for Computer Science Bachelor and Master students.
To receive the 3 CP for the course, the student has to attend at least 8 lectures. In case of illness, a doctor’s note is required. A detailed report (in English or German, 4-5 pages) about one lecture of your choice is required to be handed in at the end of the course. The report must be handed in as a PDF file before 20.07.2015, 24:00 (Deadline) via Email to Marten Rosselli (rosselli AT dbis.cs.uni-frankfurt.de).
|About the Talk
|About the Speaker
|Prof. Roberto V. Zicari, Frankfurt Big Data Lab, Goethe University Frankfurt
|Big Data: A data driven society?
|In the first part of this talk, I will review how Big Data is enabling a data-driven economy, look at what to do with Big Data, and look at the consequences of a society being reshaped by systematically building on data analytics. In the second part of the talk, I will outline some of the Big Data research challenges in three areas: Data, Processes, and Management. I will then conclude making a case for Big Data for Social Good: my aim is to show that Big Data can be leveraged to better serve the people who generate the data, and ultimately the society in which we live
|Roberto V. Zicari, professor of Database and Information Systems (DBIS) at the Goethe University Frankfurt, Germany. He is an internationally recognized expert in the field of databases. His interests also expands to Innovation and Entrepreneurship.
He is the Director of the Big Data Lab at the Goethe University Frankfurt, and the editor of the ODBMS.org web portal and of the ODBMS Industry Watch Blog. He is also a visiting professor with the Center for Entrepreneurship and Technology within the Department of Industrial Engineering and Operations Research at UC Berkeley.
|Prof. Nikos Korfiatis, Assistant Professor of Business Analytics, Norwich Business School, University of East Anglia, UK
|Big Data and Regulation
|The ongoing discussion about how big data can be of benefit to organizations is evident on all spectrums of the corporate environment ranging from human resources to marketing and finance. However the question on how big data impacts consumers is yet to be answered. In this talk the perspective of “big data” is going to be discussed from the viewpoint of regulation and how data can help competition authorities and regulatory bodies work better for the benefit of consumers by addressing market failure and working for the benefit of institutions and society.
|Dr Nikolaos Korfiatis is an Assistant Professor of Business Analytics and Regulation at the Norwich Business School at the University of East Anglia (UK). He is a faculty member of the Center for Competition Policy (CCP) one of UK’s leading think tanks in the field of competition and market supervision. He completed his PhD at Copenhagen Business School (CBS) Denmark and he holds a MEng from Royal Institute of Technology (KTH), Stockholm. He has participated as an expert in international conferences on the fields of analytics and BI and he is currently Senior Data Scientist in Residence for Adastra Germany.
|Hon.-Prof. Dr. Alexander Zeier, Managing Director, Globally for In-Memory Solutions at Accenture
|In-Memory Technologies and Applications: S/4 HANA
|In this presentation, Prof. Dr. Alexander Zeier gives an overview of In-Memory Technology and the SAP HANA / S4HANA platform, as well as the various use case scenarios. You will hear about: Key elements of In-Memory Technology and its hardware and software innovations, Architecture of the SAP HANA platform and its components and functionality, S4HANA use case scenarios and S4HANA as the integration and application platform for new business applications.
|Dr. Alexander Zeier is a Global Managing Director for In-Memory Solutions (incl. SAP HANA) and CTO for the Platform Solution Group (Analytics, Database & Technology, Big Data, Mobility) at Accenture. In this capacity, he works with clients to develop in-memory solutions, provide support to global industry teams in leveraging in-memory technology, Big Data.
He graduated from the University of Wuerzburg and TU Chemnitz and worked as a strategic IT consultant before gaining his Ph.D. in SCM at the University of Erlangen-Nuremberg. He has more than 22 years experience with IT/SAP Systems and started working as product manager and was later Director for strategic projects.
From 2006 to 2012 he was Deputy of Prof. Hasso Plattner for the group Enterprise Platform and Integration Concepts (EPIC) at the Hasso Plattner Institute in Potsdam, focusing on In-Memory Data Management for Enterprise Systems. In May 2009 he was appointed Visiting Professor at the MIT to lecture and conduct research in the area of innovative Enterprise Applications and Business Process Optimizations leveraging In-Memory/HANA. In June 2013 he was appointed as first honorary Professor at the faculty of computer science at OVGU.
|Jörg Besier, Managing Director at Accenture, Digital Delivery Lead ASG
|Towards a data-driven economy. How Big Data fuels the digital economy
|In this presentation, the influence of Big Data on the digital economy and new digital products is presented.
|Jörg Besier is a Managing Director with Accenture Digital. He currently leads the Accenture Digital Delivery Team for Austria, Switzerland and Germany. His mission is to deliver innovative digital solutions to the clients.
He is a renowned industry expert on digital transformation and business analytics. For more than 15 years he helped clients across all industries to improve their business analytics capabilities, focused but not limited to marketing, sales and service. He is relentlessly focused on creating sustainable business value for clients. He strongly believes, that digital technologies will generate a major change in the way that large enterprises in all industries are operating in the next decade.
|Klaas Wilhelm Bollhoefer, Chief Data Scientist, The unbelievable Machine Company
|Data Science – the what, the why and the how
|The lecture will give an overview on data science and how data science relates to the buzz around big data. Data science acts on the „business side of data“ and – by using creativity, data analytics, machine intelligence and a proven and agile process – bridges the gap between business operations and data. But how do you actually do it? Based on a lot of real world use cases from different industries and business units I will showcase the daily life of a data scientist. From idea to cable. The problem definition, the process, the toolkit and the algorithms. Together we will dive a little bit into machine learning & statistics, a little bit into data visualization and the importance of data visibility, you will learn about technology, the data science process model and future developments in all those areas and of course we will discuss how data science might or will develop in the next years.
|Klaas Wilhelm Bollhoefer works as a Chief Data Scientist and Big Data Evangelist with The unbelievable Machine Company GmbH in Berlin and Vienna. He is father of the Data Science Day (DSDay), coordinator of the Big Data Week Berlin, renowned lecturer and keynote speaker and member of several program committees of international Big Data events, e.g. O ́Reilly Strata and Hadoop World.
|Prof. Katharina Morik, TU Dortmund University
|Big Data Analytics in Astrophysics
|Big Data has become an increasingly popular term. Its facets, volume, variety, and velocity, have led to new storage and computation methods and hardware architectures. These developments may support but cannot replace the analysis of the data. Analytics is necessary in order to reap the data’s benefit. In this talk, analysis methods for large volume data and for real-time velocity data are presented and illustrated by astrophysical experiments.
|Katharina Morik is full professor for computer science at the TU Dortmund University, Germany. She earned her Ph.D. (1981) at the University of Hamburg and her habilitation (1988) at the TU Berlin. Starting with natural language processing, her interest moved to machine learning ranging from inductive logic programming to statistical learning, then to the analysis of very large data collections, high- dimensional data, and resource awareness.
Her aim to share scientific results strongly supports open source developments. For instance, RapidMiner started out at her lab, which continues to contribute to it. Since 2011 she is leading the collaborative research center SFB876 on resource-aware data analysis, an interdisciplinary center comprising 13 projects, 20 professors, and about 50 Ph D students or Postdocs.
She was one of those starting the IEEE International Conference on Data Mining together with Xindong Wu, and was chairing the program of this conference in 2004. She was the program chair of the European Conference on Machine Learning (ECML) in 1989 and one of the program chairs of ECML PKDD 2008. She is in the editorial boards of the international journals “Knowledge and Information Systems” and “Data Mining and Knowledge Discovery”.
|Prof. Hans Uszkoreit, Scientific Director, German Research Center for Artificial Intelligence (DFKI)
|Smart Data Web – Value chains for industrial applications
|In this presentation the Smart Data Web project is explained. The central goal of Smart Data Web is to combine state-of-the-art technologies and new value chains to leverage the potential of big data. Smart Data Web contributes significantly to overcome the barriers that hinder the integration of Semantic Web technologies, Web 2.0 data and data analysis for commercial application.
|Hans Uszkoreit is Scientific Director at the German Research Center for Artificial Intelligence (DFKI), Professor of Computational Linguistics and Computer Science (by cooptation) at Saarland University as well as Honorary Professor at Technical University Berlin. Uszkoreit studied linguistics and computer science at Technical U. Berlin and U. of Texas at Austin, where he received his Ph.D. in 1984. He then worked at the Artificial Intelligence Center of SRI International, the Center for the Study of Language and Information of Stanford U. and the Science Division of IBM Germany. From 2010-2015 he served as Coordinator of the European Network of Excellence META-NET (Multilingual Europe Technology Alliance) with 60 research centers in 34 countries. Uszkoreit is Member of the European Academy of Sciences and of the International Committee of Computational Linguistics as well as past president of the Association of Logic, Language and Information. He has co-founded several start-up companies and serves on various industrial and scientific advisory boards. His current work centers around the analysis of large-scale language data, information and dialog applications and automatic translation. He recently received two Google research awards for his work on large-scale text data. His research in language technology is documented in more than 150 international publications.
|Matthew Eric Bassett, Director and Co-Founder of Gower Street Analytics. Former Director, Data Science at NBCUniversal International, UK
|Data Science and the future of the movie business
(no presentation available; lecture was done using the blackboard)
|While cheap computing has altered human society for the 21st century, the biggest change for the film and cinema industry has been the shift from film delivery to digital delivery. Yet even this sector is waking up to big data. In this talk, we’ll look at how data-driven decision making is changing how business is done, from the greenlighting process in production to how cinemas schedule screens.
|Matthew Eric Bassett is a programmer from Colorado who got stuck in a maths PhD in London. Over the past decade, he’s taught courses in Functional Programming, fallen into several canals, and started the data science programme at Universal Pictures. Most recently, he’s started Gower Street Analytics, a company that uses data science to grow the box office market by 5-10% while giving him another excuse to not finish his PhD.
|Prof. Christoph Schommer, University of Luxembourg
|Algorithms for Data Privacy
|The sensors of the Big Data hype have engulfed the digital world as well as our society. Technical innovations, scientific achievements, and an insistent data-centric thinking have made it possible that data has been put in front more than ever before. This leads to consequences, for example a deeper understanding of own data, but also the necessity to clearly differentiate between correlation and causality and what should become public and what should keep private. The aim of this lecture is to motivate one of these aspects, i.e., data privacy in the presence of Big Data. We will discuss some algorithmic concepts as well as the idea of Privacy-Preserving Data Mining.
|Prof Schommer studied Computer Science at the University of Saarbrücken and at the German Research Centre for Artificial Intelligence. In 2000, he received his PhD degree from the Goethe-University of Frankfurt/Main and accepted in 2003 a call for associate professor at the University of Luxembourg. From 1997 until 2003, Prof Schommer worked for IBM R&D as an IT Architect in several Business Intelligence projects. Today, Prof Schommer is an international expert in Data Science and PC member of many international world-class conferences (IJCAI, CogSci, ECML, IEEE CBMS, and others). He has given more than 80 lectures as well as advised more than 50 PhD and Master/Diploma students.
|New date:20.07.2015Time: 15:00- 17:00
|Thomas Jarzombek, Mitglied des Deutschen Bundestages
|Big Data and its challenges for today´s politics
|Big Data is a tremendous opportunity for business, science and – possibly – even the further development of mankind. But does society, especially in Europe, see the advantages – or is there mostly a focus on the risks? Are people scared about the disruptive changes that future will bring? How can we set a framework for a positive mindset towards big data and its many innovative implications for society? This is the challenge for politics today.
|Thomas Jarzombek (41) is member of the German Bundestag and spokesman of the CDU/CSU parliamentary group for the digital agenda committee, which focuses its work on the political implications of digitalisation. While studying economics, he founded a small IT company. He was elected in 2005 for the regional parliament (Landtag) of Northrine-Westphalia and 2009 for the German federal parliament Deutscher Bundestag.
Video Recordings of the Lectures: