Data Science @ Regensburg: Logging & Log Data Special

Dear all,

Welcome back to yet another special edition of Data Science @ Regensburg we have prepared for you. What do we have in stock? Well, over the last few months we have explored all sorts of data science issues but one aspect has only been touched in passing, and so we thought it's time to rectify this and focus on logging and log data. We have two excellent speakers with very different backgrounds and you find details below. As usual, Zoom details will be sent out closer to the date.

See you next week,
Udo, David & Bernd

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Speaker:
Cathal Gurrin (Dublin City University)

Title:
A new Data Analytics Challenge - Lifelogs

Abstract:
Personal Lifelogs are media rich archives of personal data from many heterogeneous sources, such as wearable sensors, cameras and informational sensors. Recent advances in information technology have brought us to a point where it is now feasible to capture rich personal lifelogs for all individuals. However lifelogging is an unknown quantity, with little understanding of the use-cases or data analytics techniques required. In this talk, I will explore the potential of lifelogging to enhance the life experience of the individual. I will review past research in the area, and explore the various efforts underway to drive research forward by practitioners through real-world applications and by researchers through benchmarking competitions. The current state of the art of lifelog data analytics will be highlighted as well as suggestions for the next steps.

Bio:
Cathal Gurrin is an Associate Professor and deputy Head of the School of Computing, at Dublin City University, Ireland and he is a co-Investigator at the Insight Centre for Data Analytics and the Adapt Centre at DCU. His research interests are personal analytics and lifelogging. Lifelogging integrates personal sensing, computer science, cognitive science and data-driven healthcare analytics to realize the next-generation of digital records for the individual. He is especially interested in how wearable sensors can be used to infer knowledge about the real-world activities of the individual and how lifelogs can be used to enhance the life experience of the individual. He regularly speaks at Quantified Self events and his research has been featured internationally on Discovery Channel, BBC, NHK, as well as in the Economist magazine, New York Times, among many others.
https://en.wikipedia.org/wiki/Cathal_Gurrin

Speaker:
Sebastian König (https://systemticks.de­)

Title:
The idle potential of logfiles

Abstract:
Log data is ubiquitous and, looking at Kibana or Datadogs solutions, mining log data is seemingly becoming mainstream. As systemticks, we still think, there is more ground to cover. Large players are focusing on the large scale SaaS data sets, that are continuously fed into large databases. We are trying to raise the hidden treasures of proprietary log files. We are combining standard tools and frameworks to prepare, ingest and process the data. The use cases range from root cause analysis to system visualization and automated testing. This talk will illustrate this process and at the end asks if there is even more value if advanced data science is applied to this particular type of data.

Bio:
Sebastian König is a software engineer and founder of systemticks GmbH. He has special interest in digging up hidden knowledge, lying around in the form of logs and other data artifacts, especially in the context of software development. It often amazes him, how ignorant the dicipline of data processing can be of applying its know-how to its own processes. He gets excited when he can automate tedious and monotonous processes by detecting patterns and commonalities in data. https://www.xing.com/profile/Sebastian_Koenig56