Holiday Inn Munich City Center
6-7 MAY, 2019

Putting Machine Intelligence into Production

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Speakers


Rohit Agarwal
Rohit Agarwal

Senior Data Scientist

Alex Conway
Alex Conway

Head of Data Science

NumberBoost

Alex Conway is speaker of the following session:

Lawrence Cowan
Lawrence Cowan

Senior Partner & COO

Lawrence is Senior Partner, COO and Customer Insights & Advanced Analytics practice leader with Cicero Group. Lawrence has spent the last decade building Cicero's analytics practice where he has experience helping Fortune 1000 firms solve real business challenges with data, including attrition, segmentation, sales prioritization, pricing, and customer satisfaction. He also leads the firm in predictive analytics and Big Data related engagements, applying Cicero’s deep expertise in strategy execution to ensure data delivers ROI.  He has partnered with companies to help them to shift from reactive to predictive analytics by collecting and analyzing real-time information and distributing it across the organization— allowing management to make better, faster decisions that move the business forward.

Lawrence holds a Master’s of Science in Predictive Analytics from Northwestern University, an MBA with an emphasis in Business Economics from Westminster College, and a BA from Brigham Young University

Olga Dashkevich
Olga Dashkevich

Senior Technical Consultant

Olga Dashkevich is Senior Consultant at NTT DATA Deutschland within the team Advanced Analytics & Data Science. She holds an International MSc. degree in Computational Mechanics from TU Munich and a degree in Mathematics & Mechanics from Saint Petersburg State University.  For more than 6 years Olga has conducted several data science projects in the areas of CAE in the automotive, marketing and financial services sectors. Her main areas of work include predictive analytics, ML and business reporting.

Dubravko Dolic
Dubravko Dolic

Advanced Analytics translator

Taras Firman
Taras Firman

Senior Data Scientist

ELEKS

Taras Firman is a Senior Data Scientist at ELEKS, working with machine learning, statistical analysis, optimization, forecasting, etc. to solve customer’s problems through data power. Having a lot to contribute, he frequently participates in meetups and speaks at industry conferences. He received his Ph.D. in Mathematics from Ivan Franko National University in 2017. A mathematician by education and by calling, Taras also leads the Course on decision-making theory at Ukrainian Catholic University.

Grzegorz Gawron
Grzegorz Gawron

Head of Data Science

Grzegorz Gawron is a lead software engineer/manager with interests in advanced analytics and a taste for theory. He acts as the Head of Data Science at VirtusLab. Previously doing data engineering at Base CRM. Before that trading systems for banking (PRM). … It all started with a :joy: of having the first Commodore 64 program stored securely on a magnetic tape. He holds an MSc in computer science and an MSc in economics from the University of Warsaw. Interests in data, algorithms, software engineering, distributed systems, machine learning.


Grzegorz Gawron is speaker of the following session:

Urs Güttinger
Urs Güttinger

CTO

Urs Güttinger was the head of the Smart Factory Logistics area at Bossard AG for 19 years. In this flourishing business he was significantly involved in the development and industrialization of the Bossard logistics systems SmartBin and SmartLabel and was responsible for the operation of more than 2500 logistics systems worldwide. He further optimized the B- and C-parts management of many companies and accompanied the development of the ARIMS platform with the digital cockpit and the ARIMS Mobile App right from the start.
Since 1 January 2018, Urs Güttinger has been responsible for technology development as CTO of the Bossard Group and deals with topics from industry 4.0 such as IoT, data analytics, AI and robotics.

Dr. Andres Hernandez
Dr. Andres Hernandez

Senior Data Scientist

Dr. Andres Hernandez is speaker of the following session:

Markus Herrmann
Markus Herrmann

Head Machine Learning Engineering

After more than a decade in various military units, Markus joined GfK in 2012 as a Data Scientist and moved on with Data Engineering. Following that he took over ownership for the GfK Data Integration ecosystem “Insights Platform” and is now responsible for GfK’s Machine Learning Engineering unit.

Markus Herrmann is speaker of the following session:

Daniel Hladky
Daniel Hladky

Co-Founder and Partner

Daniel Hladky is the Co-Founder of AI4BD and has spend the last 15 years with Machine and Deep Learning, Business Robotics, Big Data and Semantic Technologies. Daniel has given public presentations at various conferences, is involved in research and industry projects. Daniel is passionated about Predictive Analytics and NLP in combination with RPA in order to reduce repetitive wok within business processes.

Dr. Marianne Hoogeveen
Dr. Marianne Hoogeveen

Staff Data Scientist

After studying Physics (MSc) and Mathematics (Ph.D.), Marianne worked as a data scientist. First in London, for a company called Cytora, then in NYC for Arena Analytics, and now for Bowery Farming, where she works on problems involving analysis of sensor data, optimization, and predictive analytics for everything to do with automation.

Dr. Bodo Hüsemann
Dr. Bodo Hüsemann

Partner

Dr. Bodo Hüsemann has been working for Informationsfabrik GmbH since 2005 and has more than 14 years of experience as an architect, coach and developer in Business Intelligence, Big Data and Machine Learning projects. He studied business informatics and earned his doctorate at the University of Münster. He has been a partner of Informationsfabrik since 2009 and currently pursues topics related to the industrialization of data science processes and the development of analytics platforms in the cloud. As an experienced trainer, he also conducts BI training courses and practical workshops for companies and the University of Münster.

Dr. Bodo Hüsemann is speaker of the following session:

Tilak Kasturi
Tilak Kasturi

Founder & CEO

Tilak Kasturi is an engineer, innovator, and entrepreneur with more than 20 years of executive experience in enterprise software, big data, and applied artificial intelligence. He has driven scalable product platform startups across various verticles, including healthcare, media, entertainment, and now industrial repair and maintenance with Predii Inc. He holds a B.S. in Electrical Engineering from National Institute of Technology, (India), an M.S. in Computer Science from the Florida Institute of Technology, and an M.B.A. from the University of Central Florida.

Dr. Tobias Keller
Dr. Tobias Keller

Data Scientist

Since 2016, Dr. Tobias Keller has been working as Data Scientist at ZERO.ONE.DATA, the Big Data Startup of DB Systel GmbH. He consults on and applies Statistics and Machine Learning in a Big Data environment. Furthermore, he teaches Data Science at Deutsche Bahn and in the doctoral education programs at several universities.

Dr. Tobias Keller is speaker of the following session:

Ralf Klinkenberg
Ralf Klinkenberg

Founder & Head of Data Science Research

Ralf Klinkenberg, founder and head of data science research at RapidMiner, is a data-driven entrepreneur with 25+ years of experience in machine learning, advanced analytics, and applications in the automotive, aviation, chemical, manufacturing, pharmaceutical, and telecom industries. He initiated the open source software project RapidMiner in 2000 and co-founded the company RapidMiner in 2007. 2008 he won the European Open Source Business Award and 2016 the European Data Innovator Award. 2017 the German government invited him to the steering committee of its “Plattform Lernende Systeme”, a national initiative of the German government to promote artificial intelligence and machine learning in industry and society. RapidMiner has 440,000+ registered users in 150+ countries.

Rico Knapper
Rico Knapper

Chief Data Scientist

Rico Knapper holds a degree in Mathematics and has been working as Data Scientist since 2009 in several positions including research and management. In 2016, Rico Knapper co-founded anacision and is currently in his role as Chief Data Scientist involved in various applied Data Science projects in collaboration with industries.

Dr. Johannes Kröckel
Dr. Johannes Kröckel

Head of Data Science & AI

Schäffler

Dr. Johannes Kröckel is speaker of the following session:

Richard Lim
Richard Lim

Manufacturing Strategist

Richard Lim is the Manufacturing Strategist for Ink Supplies Organization at HP Inc. He is has been leading the organization's efforts towards Smart Manufacturing, moving their manufacturing operations towards Industry 4.0. The organization has factories around the world.

Richard has been in HP for 31 years, having experience in Equipment/Process/Tester Engineering, Factory IT and Manufacturing Analytics. Currently he is leading the organization's Manufacturing Analytics and IIoT labs technically.

He is an Electronic Engineer & MBA by degree and believes the innovative melding of manufacturing engineering fundamentals and data science is the way to successful manufacturing analytics. He is excited by the opportunity to transform existing manufacturing infrastructure & practices with industry 4.0 insights to give the business industry 4.0 results! He has been active in building an diverse manufacturing analytics group in HP that is making a difference!

Simon Henning Nehls
Simon Henning Nehls

Senior Data Science Consultant

Simon Nehls is a senior consultant at Holisticon AG, part of the Smart Data work stream and responsible for “all things data”. He has an academic background in market research and managerial economics and is specialized in data science, modelling and analytical decision support.

His consulting experience spans across the whole data science lifecycle. It ranges from the data ideation phase via the actual data science tasks to the deployment into production and the company.

As his focus is the value creation of data and data science, he gained valuable experience in the implementation of data science processes in organizations and the set up of data (science) teams and units in organizations.

Alexander Nenninger
Alexander Nenninger

Working Student Advanced Analytics & Data Science

Alexander is a working student at NTT DATA in the Advanced Analytics and Data Science team. He pursues his Bachelor Degree in Mathematics with focus on Deep Learning at FU Berlin. He has conducted several development projects for data science in topics such as image recognition, reinforcement learning and feature engineering. Currently, his main interest lies in making complex datasets available for machine learning (at work) and non-parametric approximation techniques (at University).

Cedric Oette
Cedric Oette

Data Scientist

Schäffler

After finishing his Degree in Engineering Sciences from the University of Bayreuth in 2015 Cedric Oette started to work as a Research Assistant in Fraunhofer IPA (focus: Artificial Intelligence). Since 2016 he is working on AI driven sensor data processing as part of the Data Science & AI team at Schaeffler.

Gaurav Pawar
Gaurav Pawar

Data Scientist

Gaurav Pawar received a graduate degree in Electornics and Telecommunication Engineering, from the University of Pune, India.

He has 4+ years of experience as a Data Scientist and Computer Vision Software Engineer.

In March 2018, he joined Mobisy Technologies, currently working as a Data Scientist focused on Advanced Analytics and Driving Digital Automation Using Computer Vision.

In the years 2014 to 2017, he worked on ADAS technology for AllGo Embedded Systems, an IT company focused on automotive industry. He contribuited to projects like Driver Drowsiness Detection system, 360o view Parking Assitance System and Face Recognition in car.

He is an enthusiastic long distance runner. When he is not working, he is training for marathon and attending AI meetups / workshops in his city Bangalore.

Berndt Pilgram
Berndt Pilgram

Berndt Pilgram received a graduate degree in Electrical Engineering, a doctorate in Applied Statistics, completed a post-doctorate in Forecasting, and graduated from an Executive Program in Social Impact Strategy, focusing on Strategy & Business Development, from the University of Pennsylvania.

He has 20 years of experience as a Data Scientist and R&D Engineer.

In October 2018, he returned to Infineon Technologies, Munich as a Senior Manager Advanced Analytics, driving Digital Transformation topics with a focus on Business Impact Strategy.

In 2000, he joined Infineon Technologies, and subsequently Intel, in 2011. Overall, he had worked for 14 years as a Systems Engineer in technical leadership roles responsible for concept development, high-level mathematical modelling and system simulation of mobile telecommunication systems. In 2015, he joined Teradata, a top-tier US IT & Analytic services provider, as a Data Science consultant focusing on automotive and energy industry. In 2017, he joined E.ON as team lead Advanced Analytics for electrical networks where he successfully drove the introduction of AI for network overload prediction.

He is an enthusiastic hobby bicycle-mechanic and mountain biker. When he is not working, fixing bicycles or analyzing data collected during bike tours, you can find him jogging in the Englischer Garten.

Frank Pörschmann
Frank Pörschmann

Deputy Chairman

Frank Poerschmann is deputy chairman of the non-profit-organization „Digital Analytics Association e.V.“ in Germany and one of the leading European heads on pushing the profession of „data analyst“ to become internationally established. 

As head of the working group Industrial Analytics he initiated the first global study on Industrial Analytics 2017 which ist presented at this conference. 

In his commercial live, the former CeBIT CEO acts as Managing Partner of iDIGMA GmbH, one of the first data strategy advisors, specialized on the strategic development of data analytics capabilities in professional organizations.

Dr. Markus Rotter
Dr. Markus Rotter

Head of Network Analytics

Markus is driving Advanced Analytics on network and service data in Vodafone Germany to improve customer experience and operational performance. He leads a team of data scientists for predictive/big data analytics as well as a BI developer team to productize analytical results into KPIs, reports and dashboards. By developing a real-time correlation software, the data science team is able to proactively find network problems and automate the resolution. Employing the typical data science methods to correlate technical and customer data, they also provide levers to improve customer experience.
Before his role at Vodafone, Markus held various positions in Product Management, Sales and Management Consulting at various companies. He holds a diploma and a PhD in physics from LMU Munich.

Dr. Markus Rotter is speaker of the following session:

Silja Salge
Silja Salge

Product Supply Controlling Strategy & Development Lead

Silja Salge is responsible for Strategy & Development of Corporate Product Supply Controlling of Bayer AG. She leads several engagements in Supply Chain Analytics as wells as in large scale business intelligence projects and worked in various analytics and operational roles e.g. heading SCM Americas of Bayer Diabetes Care.

Dr. Michael Soucek
Dr. Michael Soucek

Manager Data Science / Applied Intelligence

Michael is Data Science Manager in the Applied Intelligence Practice of Accenture. He has cross industrial experience in designing analytics use cases and hands-on experience in delivering end-to-end data science work. Michael has been working with multiple clients across Europe on projects in Pricing, Financial Risk, Marketing Analytics and Supply Chain Analytics. Michael holds academic degrees in business administration and PhD in empirical finance. Furthermore, he is author of several publications on volatility modelling and was visiting scholar at the University of Cambridge and Jönköping International Business School (JIBS).

Simon Stiebellehner
Simon Stiebellehner

Head of AI

Simon Stiebellehner is Head of AI at craftworks, lecturer in Statistics. He focuses on bringing Artificial Intelligence into the industry in the form of Industrial AI. After gaining diverse industry experience, ranging from Microsoft to global players of the consulting industry, he obtained his Masters degree from University College London (UCL), specializing in Machine Learning and Data Science. Subsequently, he was a doctoral candidate and research associate, conducting research at the intersection of Neural Probabilistic Language Models and Recommendation Systems in a Real-Time Bidding context.

Valon Xhafa
Valon Xhafa

Researcher