Eingeladene Vorträge

Hier finden Sie von Know-Center MitarbeiterInnen gehaltene Vorträge

2019

Tools and Methods for Data-Driven Business Model Innovation

Analyse von Big Data-basierten Geschäftsmodellen

München

München, Analyse von Big Data-basierten Geschäftsmodellen, TU München, Institut für Unternehmensführung, Institut für Logistik und Produktion

2019

How to prepare for an AI-driven future? Laying the fundament for An AI-literate society

Is Artificial Intelligence a Force for Good? Current Opportunities and Challenges Within the Artificial Intelligence Ecosystem

Wien

Wien, Is Artificial Intelligence a Force for Good? Current Opportunities and Challenges Within the Artificial Intelligence Ecosystem, AIDA Artificial Intelligence for Developmen Agency

2019

From Data-Driven and Adaptive Technologies for Workplace Learning towards Intelligent Mentoring for Professionals

Pittsburgh

Pittsburgh, Prof. Peter Brusilovsky

2019

From Data-Driven and Adaptive Technologies for Workplace Learning towards Intelligent Mentoring for Professionals

Toronto

Toronto, Ass. Prof. Joseph Jay Williams

2019

Lehrveranstaltung "Industrial Management"

Lehrveranstaltung "Industrial Management"

Graz

Graz, Lehrveranstaltung "Industrial Management", FH Campus02

2019

Data-Driven Business and Learning

Trondheim

Trondheim, Assoc.Prof. Patrick Mikalef

2019

Digital Transformation and the Future of Work

Strategieworkshop HLW Leoben

Leoben

Leoben, Strategieworkshop HLW Leoben, HLW Leoben

2019

Presentation of Are "Data-driven Business" & Introduction to PhD Project "Karriere mit DIGITALER Lehre" i

KC Partner Event

Graz
Three core areas in data-driven business: Data-driven business models, Knowledge management, Technology enhanced learning. Digitalising apprenticeship training Learning Guidance, Chatbots and Learning Analytics Use Case: An online learning platform for apprentices. Research opportunities: Target group is under-researched 1. Computer usage & ICT self-efficacy 2. Communities of practice, identities as learners Reflection guidance technologies 3. Rebo, the reflection guidance chatbot

Graz, KC Partner Event, Know-Center

2019

Data Analytics & AI als Innovationstreiber und Change Maker - Neue Geschäftsmodelle in Sicht?

Banking & Technology - Digitale Innvationen & IT Strategien

Wien

Wien, Banking & Technology - Digitale Innvationen & IT Strategien, Business Circle

2019

From idea to feature - Generation of a data-driven AI use case for the SW industry i

Stakeholder Forum on Digitising European Industry

Madrid
In this talk we showed how the Data Value Check - a systematic approach and methodology developed by the Know-Center to generate data-driven use cases - helped our partner Reval Austria to identify AI based opportunities for their SW product. One of this uses cases was finally implemented in Reval's SW and released as a new feature.

Madrid, Stakeholder Forum on Digitising European Industry, European Commission

2019

How to encourage lifelong learning at work? Laying the fundament for An AI-literate workforce

UN AI for GOOD

Genf

Genf, UN AI for GOOD, ITU International Telecommunication Union

2019

Data-Driven and Adaptive Technologies for Workplace Learnin

Glasgow

Glasgow, Prof. Allison Littlejohn

2019

Visual and Immersive Analytics @ Know-Center’s Knowledge Visualization Area

VRVis Forum

Vienna

Vienna, VRVis Forum, VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH

2019

AI-driven IA and Vice-Versa:Artificial Intelligence and Interactive Analytics benefiting from each other

Let's Cluster 2019

Graz

Graz, Let's Cluster 2019, Silicon Alps Cluster GmbH

2019

IoT und die Entwicklung von datengetriebenen Use Cases

Iot & Data Science Fachkonferenz

Wien

Wien, Iot & Data Science Fachkonferenz, Seidler Consulting

2019

Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data i

IJCAI

Macao
This paper explores the use of reinforcement learning (RL) models for autonomous racing. In contrast to passenger cars, where safety is the top priority, a racing car aims to minimize the lap-time. We frame the problem as a reinforcement learning task with a multidimensional input consisting of the vehicle telemetry, and a continuous action space. To find out which RL methods better solve the problem and whether the obtained models generalize to driving on unknown tracks, we put 10 variants of deep deterministic policy gradient (DDPG) to race in two experiments: i) studying how RL methods learn to drive a racing car and ii) studying how the learning scenario influences the capability of the models to generalize. Our studies show that models trained with RL are not only able to drive faster than the baseline open source handcrafted bots but also generalize to unknown tracks.

Macao, IJCAI, IJCAI

2019

Ganzheitliches Informationsverhalten im Internet verstehen, modellieren und unterstützen

AI in den Medien

Wien

Wien, AI in den Medien, BMVIT

2019

Big Data – Knowledge Management: Technologies and Value

FH Burgenland

Eisenstadt

Eisenstadt, FH Burgenland

2019

Knowledge Risks in Data-Driven Business Models – Insights from a Design Science Research Project

Institute for Information Management

St. Gallen

St. Gallen, Institute for Information Management, Hochschule St. Gallen

2019

ICI Webinar: Supply Chain Intelligence as a Single Source Procurement Solution i

ICI Webinar

Uncover hidden suppliers and their complex relationships across the entire Supply Chain is quite complex. Unexpected disruptions, e.g. earthquakes, volcanoes, bankruptcies or nuclear disasters have a huge impact on major Supply Chain strategies. It is very difficult to predict the real impact of these disruptions until it is too late. Small, unknown suppliers can hugely impact the delivery of a product. Therefore, it is crucial to constantly monitor for problems with both direct and indirect suppliers.

ICI Webinar, ICI

2019

Learning from experience via Data-Driven Reflection

Pittsburg

Pittsburg, Prof. Carolyn Rose

2019

Learning 4.0

Digital Future Talks

Graz

Graz, Digital Future Talks, Information Community Styria

2019

Workshop: Automated Intelligence – Anticipating Relationships and Trends to Obtain Competitive and Market Advantage i

Workshop: Automated Intelligence – Anticipating Relationships and Trends to Obtain Competitive and Market Advantage

Luxembourg
Agile, global enterprises need accurate and readily available information about customers, markets and competitors to formulate strategic decisions. We apply our expertise in collecting and processing information from open and closed sources to support key strategic functions such as technology observation, business intelligence and patent analysis. We provide design and implementation of innovative search solutions and intelligent dashboards that visually capture and present relevant information and support the data-driven decision-making process. Automated Intelligence is now more than ever an important side of the future of data analytics, therefore we apply multiple techniques for the automation of data processing and analysis through the usage of the latest machine learning and artificial intelligence algorithms. We present several successful use cases of our strategic intelligence partnerships and future directions.

Luxembourg, Workshop: Automated Intelligence – Anticipating Relationships and Trends to Obtain Competitive and Market Advantage, ICI

2019

Statement, Forumsgespräch, Publikumsbeteiligung »Datalogistik Neu Denken«

16. Steirischer Logistik Tag + Automotive Day

Feldkirchen

Feldkirchen, 16. Steirischer Logistik Tag + Automotive Day, BVL - Bundesvereinigung Logistik Österreich

2019

Industrial Transformation: inwiefern finden Trends wie AI, 5G und Industrial Security bereits praktische Anwendung und wohin geht die Reise?

Industrie 4.0 - Die IT Plattform für Smart Manufacturing

Graz

Graz, Industrie 4.0 - Die IT Plattform für Smart Manufacturing, LSZ Consulting

2019

Promising data driven use-cases and how to find them i

Taftie Networking Workshop Big Data

Brussels
Identifying and realising value within data helps organisations to unlock unused business potentials. With the amounts of generated data increasing by the minute, it is essential to identify the most promising use-cases. The Know-Center offers the Data Value Check, a guided process designed to help companies on their journey to become data driven. Oliver Pimas from Know-Center GmbH will present a keynote about identifying and evaluating promising data driven use-cases.

Brussels, Taftie Networking Workshop Big Data, Taftie

2019

Artificial Intelligence –Now that it is working, what's next?

Research Networking Day 2019

Graz

Graz, Research Networking Day 2019, Global Research & Technology Management AVL ITS

2019

Ganzheitliches Informationsverhalten im Internet verstehen, modellieren und unterstützen

AI in den Medien

Wien

Wien, AI in den Medien, BMVIT

2019

Engineering meets data science - AI at the interface between engineering and data science i

ÖTG Symposium 2019

Dornbirn
This keynote speech discusses the role of AI at the intersection of “Data world” and “Knowledge world”. It will emphasize the challenges with current data-driven technologies and AI, and how challenging it is to bring the two aspects – (i) extracting knowledge from data and (ii) using knowledge (domain know-how) to analyze data, together in an efficient and beneficial way.

Dornbirn, ÖTG Symposium 2019, Österreichische Tribologische Gesellschaft

2019

Workshop/Big Data & Artificial Intelligence

Air Contact 2019 - Supply Chain Revolution

Raaba-Grambach

Raaba-Grambach, Air Contact 2019 - Supply Chain Revolution, ACstyria Mobilitätscluster GmbH

2019

7. BACnet-Konferenz

7. BACnet-Konferenz

Wals-Siezenheim

Wals-Siezenheim, 7. BACnet-Konferenz, IKT & Cybersicherheitszentrum, Militärisches Immobilienmanagementzentrum des Bundesheeres

2019

Digitalisierung in der Industrie

Digitalisierung in der Industrie

Wien

Wien, Digitalisierung in der Industrie, INdustriellenvereinigung Österreich

2019

Workshop/Big Data & Artificial Intelligence

Air Contact 2019 - Supply Chain Revolution

Raaba-Grambach

Raaba-Grambach, Air Contact 2019 - Supply Chain Revolution, ACstyria Mobilitätscluster GmbH

2019

Medien und Formate im Wissensmanagement

Donau Universität Krems - 2 Tage geblockte LV: 25-26.11.

Krems

Krems, Donau Universität Krems - 2 Tage geblockte LV: 25-26.11., Donau Universität Krems - Studiengang Wissensmanagement

2019

Let's shape the future!

CKI Konferenz

Graz

Graz, CKI Konferenz, TU Graz

2019

Assistive Intelligenz: Stiller Helfer an unerwarteten Stellen in Unternehmen und Wertschöpfungsketten

evon up2date 2019

Stubenberg am See

Stubenberg am See, evon up2date 2019, evon GmbH

2019

Data Analytics & AI als Innovationstreiber und Change-Maker

Konferenz Analytics Meets Business

Wien

Wien, Konferenz Analytics Meets Business, BDO und Business Circle Management FortbildungsGmbH

2019

Workshop/Data Analytics - Eine How To Anleitung

Konferenz Banking & Technology - Digitale Innovationen & IT Strategien

Wien

Wien, Konferenz Banking & Technology - Digitale Innovationen & IT Strategien, Business Circle Management FortbildungsGmbH

2019

Assistive Intelligenz als Unterstützung zukünftiger Qualitätsmaßnahmen

Fachkonferenz Innovatives Qualitätsmanagement

Wien

Wien, Fachkonferenz Innovatives Qualitätsmanagement, imh Institut Manfred Hämmerle GmbH

2019

Workshop/Artificial Intelligence

connect.InnovationXI - AI GREINER

Kremsmünster

Kremsmünster, connect.InnovationXI - AI GREINER, Geiner AG

2019

Workshop/KI entmystifizieren

Pfingstdialog 2019

Leibnitz

Leibnitz, Pfingstdialog 2019

2019

2 Lehrveranstaltungen zum Thema "Empirische Forschungsmethoden" (je eine im Sommersemester und eine im Wintersemester)

2 Lehrveranstaltungen zum Thema "Empirische Forschungsmethoden" (je eine im Sommersemester und eine im Wintersemester)

Graz

Graz, 2 Lehrveranstaltungen zum Thema "Empirische Forschungsmethoden" (je eine im Sommersemester und eine im Wintersemester), Karl-Franzens-Universität Graz

2019

SCIP Webinar: Supply Chain Intelligence as a Single Source Procurement Solution i

SCIP Webinar

Uncover hidden suppliers and their complex relationships across the entire Supply Chain is quite complex. Unexpected disruptions, e.g. earthquakes, volcanoes, bankruptcies or nuclear disasters have a huge impact on major Supply Chain strategies. It is very difficult to predict the real impact of these disruptions until it is too late. Small, unknown suppliers can hugely impact the delivery of a product. Therefore, it is crucial to constantly monitor for problems with both direct and indirect suppliers.

SCIP Webinar, SCIP

2019

Conference VII - Supply Chain Intelligence as a Single Source Procurement Solution i

Procurement Conference

Lisbon
Uncover hidden suppliers and their complex relationships across the entire Supply Chain is quite complex. Unexpected disruptions, e.g. earthquakes, volcanoes, bankruptcies or nuclear disasters have a huge impact on major Supply Chain strategies. It is very difficult to predict the real impact of these disruptions until it is too late. Small, unknown suppliers can hugely impact the delivery of a product. Therefore, it is crucial to constantly monitor for problems with both direct and indirect suppliers.

Lisbon, Procurement Conference, Supply Chain Magazine

2019

EMMA - der Mensch im Mittelpunkt der Pflege

Life Sciences im digitalen Wandel

Graz

Graz, Life Sciences im digitalen Wandel, HTS, BioNanoNet, Know-Center

2019

Field Studies as evaluation method for socio-technical interventions in Technology-Enhanced Learning (TEL) i

EATEL Summerschool

Bari
Field studies as evaluation method for socio-technical interventions in Technology-Enhanced Learning. Much research in TEL is design work – i.e., the research team designs an intervention that is intended to support learning. This intervention needs to be evaluated to show the extent to which this goal has been reached; and to gain additional insights that are sought for. Field studies are one main type of evaluations. They are challenging to set up; and in case of a bad study design cannot be easily repeated due to the effort and cost of running a field study. The goal of this lecture and workshop is To provide a blueprint for field studies as evaluation method for socio-technical interventions in technology enhanced learning To present a hierarchical principle of evaluating learning interventions– based on Kirkpatrick & Kirkpatrick: Usage/observable activities – Learning – Impact on task/work performance – Impact on organization (in workplace learning/applicable to settings in which individual learning impacts a wider social entity) To have students plan a field study for their own PhD in rough lines individually To discuss their plans with peers and the lecturer, as well as other senior researchers who may be present – i.e., students will get feedback on their own plan The blueprint for field studies is to evaluate in a hierarchy of research questions/evaluation level: First, one assesses the observable (learning) activities that are carried out – in particular how and whether participants adhered to the prescribed intervention; this helps understand the success of the intervention and it is possible to identify problems. Second, one assesses concrete learning outcomes – insights that are generated. Thirdly, one assesses a change in behaviour, and fourthly a change in performance. In parallel, a mix of qualitative and quantitative methods should be used – this allows on the one hand statistical comparison (pre/post; between groups). On the other hand, one can get in depth explanatory insights.

Bari, EATEL Summerschool, EATEL

2019

Workshop/Seminar des Stipendienprogramms i

Pfingstdialog 2019

Leibnitz
Kombination aus Vortrag und Workshop - Ideengenerierung von daten-getriebenen Use Case zur Verbesserung des öffentlichen Verkehrs

Leibnitz, Pfingstdialog 2019, Land Steiermark

2019

Workshop/Seminar des Stipendienprogramms i

Pfingstdialog 2019

Leibnitz
Kombination aus Vortrag und Workshop - Ideengenerierung von daten-getriebenen Use Case zur Verbesserung des öffentlichen Verkehrs

Leibnitz, Pfingstdialog 2019, Land Steiermark

2019

Workshop/Seminar des Stipendienprogramms i

Pfingstdialog 2019

Leibnitz
Kombination aus Vortrag und Workshop - Ideengenerierung von daten-getriebenen Use Case zur Verbesserung des öffentlichen Verkehrs

Leibnitz, Pfingstdialog 2019, Land Steiermark

2019

Wie intelligent ist KI heute schon? i

Impuls>>Live - Smart Services und Künstliche Intelligenz - Neue Entwicklungen und Trends

Graz
Der Vortrag beleuchtet den Status Quo von AI bzw. versucht das Thema auf den Boden der Tatsachen zu bringen. Folgende Punkte behandelt der Vortrag: (i) Geschichte der AI, (ii) Fähigkeiten der KI heute und (iii) zukünftige Entwicklungen der KI aus Forschungssicht.

Graz, Impuls>>Live - Smart Services und Künstliche Intelligenz - Neue Entwicklungen und Trends, SFG

2019

AI in Tourism i

Applied Artificial Intelligence Conference 2019

Wien
Panel discussion with representants from industry, public services and research about the application of AI in tourism (I stepped in for Wolfgang Kienreich)

Wien, Applied Artificial Intelligence Conference 2019 , WKO

2019

Blended Learning for Professionals

Data-Driven Futures: Learning 4.0

Graz

Graz, Data-Driven Futures: Learning 4.0, Know-Center

2019

Reflection Guidance - State-of-the-art and challenges in Intelligent Tutoring Systems i

EATEL Summerschool

Bari
Adaptive reflection guidance can be understood as a specific kind of intelligent tutoring systems – as a kind of intelligent mentoring systems, as envisaged by Dimitrova (2006). These systems don’t encode to a very fine-granular degree domain knowledge, and learning strategies, but support the learner in developing the capability to learn in a self-directed manner; and in to learn about a particular learning domain. In this lecture and demo, I will show a concrete modular in-app reflection guidance framework, and its instantiation in different research prototypes (Fessl et al., 2017). I will also discuss how such a system relates to the very wide fields of intelligent tutoring systems and adaptive and context-aware systems in general; inheriting open challenges from each of these fields. In particular, it connects to promising fields of future TEL research in finding the sweet spot between human and artificial intelligence.

Bari, EATEL Summerschool, EATEL

2019

How (Not) To Train Your Neural Network Using the Information Bottleneck Principle i

Fifth London Symposium on Information Theory (LSIT) 2019

London
(This is joint work with Rana Ali Amjad from Technical University of Munich.) The information bottleneck theory of neural networks has received a lot of attention in both machine learning and information theory. At the heart of this theory is the assumption that a good classifier creates representations that are minimal sufficient statistics, i.e., they share only as much mutual information with the input features that is necessary to correctly identify the class label. Indeed, it has been claimed that information-theoretic compression is a possible cause of generalization performance and a consequence of learning the weights using stochastic gradient descent. On the one hand, the claims set forth by this theory have been heavily disputed based on conflicting empirical evidence: There exist classes of invertible neural networks with state-of-the-art generalization performance; the compression phase also appears in full batch learning; information-theoretic compression is an artifact of using a saturating activation function. On the other hand, several authors report that training neural networks using a cost function derived from the information bottleneck principle leads to representations that have desirable properties and yields improved operational capabilities, such as generalization performance and adversarial robustness.In this work we provide yet another perspective on the information bottleneck theory of neural networks. With a focus on training deterministic (i.e., non-Bayesian) neural networks, we show that the information bottleneck framework suffers from two important shortcomings: First, for continuously distributed input features, the information-theoretic compression term is infinite for almost every choice of network weights, making this term problematic during optimization. The second and more important issue is that the information bottleneck functional is invariant under bijective transforms of the representation. Optimizing a neural network w.r.t. this functional thus yields representations that are informative about the class label, but that may still fail to satisfy desirable properties, such as allowing to use simple decision functions or being robust against small perturbations of the input feature. We show that there exist remedies for these shortcomings: Including a decision rule or softmax layer, making the network stochastic by adding noise, or replacing the terms in the information bottleneck functional by more well-behaved quantities. We conclude by showing that the successes reported about training neural networks using the information bottleneck framework can be attributed to exactly these remedies.

London, Fifth London Symposium on Information Theory (LSIT) 2019

2019

Artificial Intelligence - und die Wichtigkeit bei österreichischen Unternehmen/Institutionen i

Digital Austria / Artifical Intelligence

Hof bei Salzburg
Panel discussion with representants from industry, public services and research about the impact of AI for Austrian economy

Hof bei Salzburg, Digital Austria / Artifical Intelligence, LSZ Consulting

2019

Evaluation of Visual Decision Support Systems used in Semiconductor Industry

9th European advanced process control and manufacturing (apc|m) Conference

Villach

Villach, 9th European advanced process control and manufacturing (apc|m) Conference, Silicon Saxony

2019

Status Quo of AI - Is a chatbot intelligent? i

From zero to chatbot in one hour

Wien
What's the conection between a chatbot and AI? The keynote gives an overview about the current state of AI as well as discusses research directions and future challenges of AI.

Wien, From zero to chatbot in one hour, 2050 Thinkers Club Vienna

2019

Big Data Strategies i

Studiengang Regenerative Energiesysteme & technisches Energiemanagement

Wieselburg
Die Digitalisierung ist einer der großen Megatrends der Gesellschaft und neben der Energiewende das bestimmende Thema in der Energiewirtschaft. Die Lehrveranstaltung, die im Rahmen des Moduls "Digitalisierung" des berufsbegleitenden Masterlehrganges "Regenerative Energiesysteme & technisches Energiemanagement" stattfindet, gibt einen Einblick in die grundlegenden Konzepte von Big Data – angefangen von entsprechenden Begriffserklärungen, über Verfahren der Datenanalyse, Aspekte der Datenökonomie bis hin zu datengetriebenen Geschäftsmodellen und rechtlichen Fragen im Umgang mit Big Data.

Wieselburg, Studiengang Regenerative Energiesysteme & technisches Energiemanagement, Fachhochschule Wiener Neustadt

2019

Was kann der Computer vom Menschen lernen und was nicht i

Modern Workplace: Effizienz und Attraktivität des modernen Arbeitsplatze

4020 Linz
Die Möglichkeiten und Unmöglichkeiten der KI Unterstützung

4020 Linz, Modern Workplace: Effizienz und Attraktivität des modernen Arbeitsplatze, Insight Technology Solutions GmbH

2019

Was kann der Computer vom Menschen lernen und was nicht i

Modern Workplace: Effizienz und Attraktivität des modernen Arbeitsplatze

9020 Klagenfurt
Die Möglichkeiten und Unmöglichkeiten der KI Unterstützung

9020 Klagenfurt, Modern Workplace: Effizienz und Attraktivität des modernen Arbeitsplatze, Insight Technology Solutions GmbH

2019

Was kann der Computer vom Menschen lernen und was nicht i

Modern Workplace: Effizienz und Attraktivität des modernen Arbeitsplatze

1020 Wien
Die Möglichkeiten und Unmöglichkeiten der KI Unterstützung

1020 Wien, Modern Workplace: Effizienz und Attraktivität des modernen Arbeitsplatze, Insight Technology Solutions GmbH

2019

Possibilities and Challenges of Digitalisation in the Semiconductor and Other Domains

APC|M Europe Conference

Villach

Villach, APC|M Europe Conference, Silicon Saxony

2019

Data Driven Product Development - A Tool Based Approach to Build Great Data Products i

Let's Cluster

Graz
Products fueled by data and machine learning can be a powerful way to solve users‘ needs. The opportunity extends far beyond the tech giants: companies of a range of sizes and across sectors are investing in their own data-powered products and business models. But the data component adds an extra layer of complexity. To tackle the challenge, companies should emphasize cross functional collaboration, evaluate and prioritize data product opportunities with an eye to the long-term, and start simple.

Graz, Let's Cluster, Silicon Alps

2019

Digital Future Life i

Let's Cluster

Graz
Short presentation of Know-Center's portfolio on the basis of a use case from the everyday life of a person in the future

Graz, Let's Cluster, Silicon Alps Cluster

2019

Wie intelligent ist KI wirklich? i

Quergedacht

Graz
"Quergedacht" ist eine Veranstaltungsreihe, bei der MitarbeiterInnen der Energie Graz innovative Themen und aktuelle Fragestellungen nähergebracht werden. Bei dem Vortrag wurde das Thema Künstliche Intelligenz präsentiert, wobei versucht wurde aufzuzeigen wo wir heute mit der – datengetriebenen – KI stehen (d.h. was KI heute kann und was nicht) und wohin die Reise aus Forschungssicht geht.

Graz, Quergedacht, Energie Graz

2019

Eye tracking support for visual analytics systems: foundations, current applications, and research challenges i

the 11th ACM Symposium on Eye Tracking Research & Applications

Denver
Visual analytics (VA) research provides helpful solutions for interactive visual data analysis when exploring large and complex datasets. Due to recent advances in eye tracking technology, promising opportunities arise to extend these traditional VA approaches. Therefore, we discuss foundations for eye tracking support in VA systems. We first review and discuss the structure and range of typical VA systems. Based on a widely used VA model, we present five comprehensive examples that cover a wide range of usage scenarios. Then, we demonstrate that the VA model can be used to systematically explore how concrete VA systems could be extended with eye tracking, to create supportive and adaptive analytics systems. This allows us to identify general research and application opportunities, and classify them into research themes. In a call for action, we map the road for future research to broaden the use of eye tracking and advance visual analytics.

Denver, the 11th ACM Symposium on Eye Tracking Research & Applications, ACM

2019

NLP Essentials: The Bread and Butter

Machine Learning Graz Meet-Up

Graz

Graz, Machine Learning Graz Meet-Up, Machine Learning Graz

2019

"Aus Erfahrung wird man klug?!" - Assistive Intelligence mittels Wissenskreislauf

KI in der Produktion

Wien

Wien, KI in der Produktion, Plattform Industrie 4.0

2019

Generating Fake Images - Past approaches and future trends

Machine Learning Graz Meet-Up

Graz

Graz, Machine Learning Graz Meet-Up, Machine Learning Graz

2019

Time Series Data Forcasting like a PRO

Machine Learning Graz Meet-Up

Graz

Graz, Machine Learning Graz Meet-Up, Machine Learning Graz

2019

Inglorious LSTMs - Generating Tarantino Movies with Neural Networks

Machine Learning Graz Meet-Up

Graz

Graz, Machine Learning Graz Meet-Up, Machine Learning Graz

2019

AI Courses: Design a New AI Course

AI Austria Curriculum Community Event 2019

Wien

Wien, AI Austria Curriculum Community Event 2019, AI Austria

2019

A bit of history and current landscape of NLP

NLP Graz Meet-Up

Graz

Graz, NLP Graz Meet-Up, NLP Graz Meet-Up

2019

Focus on FAIR - FAIR Data and the European Open Science Cloud (EOSC i

Focus on FAIR - FAIR Data and the European Open Science Cloud (EOSC

Graz
Discussion points: · Brief overview/summary of data management infrastructures and governance in industry · How prepared/interested are companies for/in the European Open Science Cloud (EOSC) · Relevance of FAIR principles for industry · Challenges & possible solutions – University & industry cooperation in terms of sharing (research) data Participants: Prof. Stefanie Lindstaedt, CEO, Know-Center & Head of Institute of Interactive Systems and Data Science, TUG - Chair Ass.Prof. Viktoria Pammer-Schindler, Data-Driven Business, TUG & Know-Center Christof Wolf-Brenner, Big Data Consultant, Know-Center Andre Perchthaler, Director, Global Transportation Solutions, NXP Semiconductors Dr. Josiane Xavier Parreira, Siemens Corporate Technology

Graz, Focus on FAIR - FAIR Data and the European Open Science Cloud (EOSC, TU Graz - ISDS

2019

Datengetriebene Zukunftstechnologien für Industrie 4.0

Lehrgang Innovationsmanagement

Krems

Krems, Lehrgang Innovationsmanagement, Donau Uni Krems

2019

Hands-on AI - Einführung in KNIME

Lehrgang Innovationsmanagement

Krems

Krems, Lehrgang Innovationsmanagement, Donau Uni Krems

2019

AI - vom Hype zur Realität oder wir bauen einen datengetriebenen AI use case i

Digital Future Congress

Graz
Im Rahmen der moderierten Themeninsel, wird das Thema AI und seine Einsatzmöglichkeiten näher beleuchtet und diskutiert: "Was geht heute schon mit AI?", "Wo sind die Grenzen von AI", "Wie gehe ich ein AI Projekt an?", "Was könnte ein datengetriebener AI Use Case sein?"

Graz, Digital Future Congress, IT Community Styria

2019

Talk: Automated Intelligence – Anticipating Relationships and Trends to Obtain Competitive and Market Advantage i

Automated Intelligence – Anticipating Relationships and Trends to Obtain Competitive and Market Advantage

Luxembourg
Agile, global enterprises need accurate and readily available information about customers, markets and competitors to formulate strategic decisions. We apply our expertise in collecting and processing information from open and closed sources to support key strategic functions such as technology observation, business intelligence and patent analysis. We provide design and implementation of innovative search solutions and intelligent dashboards that visually capture and present relevant information and support the data-driven decision-making process. Automated Intelligence is now more than ever an important side of the future of data analytics, therefore we apply multiple techniques for the automation of data processing and analysis through the usage of the latest machine learning and artificial intelligence algorithms. We present several successful use cases of our strategic intelligence partnerships and future directions.

Luxembourg, Automated Intelligence – Anticipating Relationships and Trends to Obtain Competitive and Market Advantage, ICI

2019

Big Data and Data-Driven Modeling - A New Dawn for Engine Operation and Development i

17th Symposium on the Working Process of the Internal Combustion Engine

Graz
held on behalf of S. Lindstaedt; with contributions from G. Pirker (LEC GmbH)

Graz, 17th Symposium on the Working Process of the Internal Combustion Engine

2019

Was funktioniert mit AI und was nicht? Was kommt noch? i

CIO Kongress

Loipersdorf
Der LSZ CIO-Kongress ist eine IT-Veranstaltung in Österreich und kommt dem unmittelbaren Informations- und Erfahrungsaustausch von CIOs und Managern aus Fachabteilungen untereinander, sowie CIOs/CxOs mit den Experten der Anbieter- und Dienstleistungsunternehmen entgegen. Die insgesamt mehr als 450 Teilnehmer sind aufgefordert, ihr Fachwissen in den Arbeitskreisen sowie in den zahlreichen sonstigen Diskussionsrunden – nach dem Open Space-Prinzip einzubringen.

Loipersdorf, CIO Kongress, LSZ Consulting

2019

Interactive Systems that Learn to Work with Humans i

Mendoza
De la mano de tecnologías como aprendizaje maquinal y redes neuronales, las aplicaciones de inteligencia artificial se han transformado en la solución preferente al tratar con grandes cantidades de datos. En esta charla propongo revisar cómo se diseñan los sistemas interactivos y el funcionamiento de mecanismos de inteligencia artificial que se sirven de datos de la interacción humano-máquina. Se presentará el tema con ejemplos de seguridad de redes, y de nuevos sistemas de wearable computing. En el area de seguridad de redes, se utilizan sistemas de detección de intrusos los cuales deben ser entrenados con datos que describen el comportamiento hostil en función de las características observables de la red. Un experto humano se encarga de asociar un comportamiento malicioso con ciertas características de la red. Presentaremos un sistema que aprende el modelo de detección en tiempo casi real a medida que el experto etiqueta datos y a la vez comunica resultados de sus predicciones al experto. En el caso de wearable computing, presentaremos aplicaciones de aprendizaje maquinal para adaptar mecanismos de feedback táctiles.

Mendoza

2019

Background perception and comprehension of symbols conveyed through vibrotactile wearable displays i

ACM International Conference on Intelligent User Interfaces

Los Angeles
Previous research has demonstrated the feasibility of conveying vibrotactile encoded information efficiently using wearable devices. Users can understand vibrotactile encoded symbols and complex messages combining such symbols. Such wearable devices can find applicability in many multitasking use cases. Nevertheless, for multitasking, it would be necessary for the perception and comprehension of vibrotactile information to be less attention demanding and not interfere with other parallel tasks. We present a user study which investigates whether high speed vibrotactile encoded messages can be perceived in the background while performing other concurrent attention-demanding primary tasks. The vibrotactile messages used in the study were limited to symbols representing letters of English Alphabet. We observed that users could very accurately comprehend vibrotactile such encoded messages in the background and other parallel tasks did not affect users performance. Additionally, the comprehension of such messages did also not affect the performance of the concurrent primary task as well. Our results promote the use of vibrotactile information transmission to facilitate multitasking.

Los Angeles, ACM International Conference on Intelligent User Interfaces

2019

Optimising Encoding for Vibrotactile Skin Reading i

Conference on Human Factors in Computing Systems

Glasgow
This paper proposes methods of optimising alphabet encoding for skin reading in order to avoid perception errors. First, a user study with 16 participants using two body locations serves to identify issues in recognition of both individual letters and words. To avoid such issues, a two-step optimisation method of the symbol encoding is proposed and validated in a second user study with eight participants using the optimised encoding with a seven vibromotor wearable layout on the back of the hand. The results show significant improvements in the recognition accuracy of letters (97%) and words (97%) when compared to the non-optimised encoding.

Glasgow, Conference on Human Factors in Computing Systems

2019

Boosting Word Recognition for Vibrotactile Skin Reading i

International Symposium on Wearable ComputersReading

London
Proficiency in any form of reading requires a considerable amount of practice. With exposure, people get better at recognising words, because they develop strategies that enable them to read faster. This paper describes a study investigating recognition of words encoded with a 6-channel vibrotactile display. We train 22 users to recognise ten letters of the English alphabet. Additionally, we repeatedly expose users to 12 words in the form of training and reinforcement testing. Then, we test participants on exposed and unexposed words to observe the effects of exposure to words. Our study shows that, with exposure to words, participants did significantly improve on recognition of exposed words. The findings suggest that such a word exposure technique could be used during the training of novice users in order to boost the word recognition of a particular dictionary of words.

London, International Symposium on Wearable ComputersReading

2019

Data quality and interpretable learning with small cohort

Big Data - Fueling the transformation of Europe’s Healthcare Secto

Valencia

Valencia, Big Data - Fueling the transformation of Europe’s Healthcare Secto, Bigmedilytics project

2019

Obtaining Knowledge From Text-based Sources i

Strategic Intelligence Workshop 1

Graz
Give you an overview on Competitive Intelligence. Introduce a framework for Innovation from Uberbrands. Present Know-Center competencies and case studies. Discuss your challenges and collaboration possibilities.

Graz, Strategic Intelligence Workshop 1, Know-center and Uberbrands

2019

Panel: Future of Competitive Inteligence i

Automated Intelligence – Anticipating Relationships and Trends to Obtain Competitive and Market Advantage

Luxembourg
Successful Use cases for Competitive Intelligence Approaches to Automation of Information Processing to Gain Competitive Insights Future directions and the importance of AI and Deep Learning

Luxembourg, Automated Intelligence – Anticipating Relationships and Trends to Obtain Competitive and Market Advantage, ICI

2019

Datalogistik Neu Denken

16. Steirischer Logistik Tag + Automotive Day

Graz

Graz, 16. Steirischer Logistik Tag + Automotive Day, BVL Bundesvereinigung Logistik Österreich

Kontakt Karriere

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