Programm des Data Festivals

am 18. April 2018

data.stage festival.stage alterna.stage
08:30
Automating everything? Which human skills are needed in the future (EN)
Teilnehmer Dr. Alexander Borek, Head of Smart Data & Analytics, Volkswagen AG | Marcel Kling, Director Customer Data & Advanced Analytics, Lufthansa AG | Holger Kömm, Director Data Science Lab, Adidas AG | Prof. Peer Kröger, Head Data Lab, LMU München | Moderation Dr. Carsten Bange, CEO, BARC GmbH
08:30 - 09:15
Panel
08:45
09:00
09:15
Break
09:15 - 09:30
Break
09:15 - 09:30
Break
09:15 - 09:30
09:30
The Thermomix Data Journey (EN)
Anton Reindl, Int. Product Manager / Data Intelligence, Vorwerk & Co. KG | Marcel Hellmann,  Senior Manager Data Science & Machine AI, Vorwerk & Co. KG
09:30 - 10:00
Customer Centricity
The Thermomix Data Journey (EN)In the last few years Thermomix by Vorwerk has emerged as the number one IoT kitchen appliance. Complemented by a digital ecosystem it supports customers around the world in the preparation of enjoyable and healthy meals at home every day.On the continuing digital journey of Thermomix, modern, data-driven methodologies have been identified as a promising means to generate new Business insights and boost customer satisfaction. Obviously, a capable data processing infrastructure is a prerequisite for leveraging  vast amounts of device and user generated data. In this talk, we will outline our  approach to make data generated on the Thermomix device available for data-driven applications and share some lessons we have learnt during the implementation and operation of the various technologies involved. To this end, we will follow the journey of the data from their generation in the appliance, through the pipes and valves of the big data “machine”, up to the visualization and analytics layer.
Working with GPS data in IoT environment from the data science perspective (EN)
Dubravko Dolic, Lead Architect Advanced Analytics, Continental Reifen Deutschland GmbH
09:30 - 10:00
IoT
Working with GPS data in IoT environment from the data science perspective (EN)One of the most common data types to collect in IoT scenarios is GPS data. At Continental we meet those data in many different Use Cases. As Data Scientist we have to handle huge masses of GPS data so we had to develope some methods to handle those data. In this talk we show some of them. Among other it can be shown how to check for quality in GPS data, calculate Kernel densities for Truck tracks, Optimize flawed data using Kalman Filtering and presenting Spatiotemporal data for different use Cases...
ENTFÄLLT - AI + Creativity - why we all need an enterprise muse (EN)
Klaas Bollhoefer, Founder and Managing Director, Birds on Mars GmbH
09:30 - 10:00
Inspired by Data
ENTFÄLLT - AI + Creativity - why we all need an enterprise muse (EN)Roman Lipski, a renowned painter from Berlin, gets inspired by his Artificial Muse, the first of its kind in the world of art. It is a new kind of symbiosis between man and machine, a dialogue that evolved over the last two years creating not just a new kind of art but step by step a new kind of artist...
09:45
10:00
Next-Best-Action Marketing with Algorithms (EN)
Halvor Garaas, Next Gen Analytics Lead / Global Customer Marketing Engagement, Cisco Systems GmbH | Marcel Weifels, Data Scientist, Alexander Thamm GmbH
10:00 - 10:30
Customer Centricity
Next-Best-Action Marketing with Algorithms (EN)Next-Best-Action (NBA) is known to be the holy grail in marketing. The drastic growth in data volume through digital marketing, as well as the development of new technologies and algorithms lead us closer to the handle. In the presentation we discuss the data science journey for NBA in the context of B2B from drafting an initial concept to running successfull pilots. First we will introduce the idea and goal of NBA and its implications. Starting out from the concept we describe the stepwise development of a solution. The analytical part will be discussed in detail. We will also touch on the toolstack and the technical challenges arrising from it for the implementation. In the end we will present the pilot results. Finally, success factors and pitfalls experienced throughout the project will be highlighted.
Live IoT Use Case demo in E-Commerce Logistics (EN)
Ulrich Ermel, Director New Business Development, PULS GmbH
10:00 - 10:30
IoT
Live IoT Use Case demo in E-Commerce Logistics (EN)The “SmartFab Box” system, created by PULS with freely available standard software, transmits measurement data (vital data of a system: in particular voltage and current values, but also temperature or more complex measurement values; similar to the pulse and blood pressure in humans) from the application directly into a cloud. The connection is made independently via LTE from the sensitive company/factory network. In this way, the “vital data” of a machine/system is sent to a cloud in the same way as “Smart Watches”, but with significantly higher security and runtime requirements. Using a dashboard, users can view their data via www.loadprofiling.com in real time, create their own evaluations and export them to standard data formats at any time...
360° CX - Visitor Satisfaction Scoring: Ein revolutionäres IoT Reputations-Projekt zahlt sich aus - durch Real-Time Big Data (DE)150.000 Gäste ausgestattet mit RFID Armbändern besuchen täglich vier der weltweit größten Freizeitparks unseres Kunden. Jedes Souvenir, alle Übernachtungen und Mahlzeiten, das Wetter und jede Minute in der Schlange vor Attraktionen und Shows werden über zigtausende von Sensoren  - verteilt über eine Fläche, so groß wie die Stadt San Francisco - erfasst...
10:15
10:30
Coffee Break
10:30 - 11:00
Coffee Break
10:30 - 11:00
Coffee Break
10:30 - 11:00
10:45
11:00
Datenethik (DE)
Teilnehmer Michaela Mader, Geschäftsführerin, dataspot. GmbH & Dr. Holger Kömm, Director Data Science Lab, Adidas AG & Dr. Alexander Borek, Head of Smart Data & Analytics, Volkswagen AG Moderatoren Dr. Carsten Bange, Gründer und Geschäftsführer, BARC GmbH & Dr. Sebastian Derwisch, Data Scientist, BARC GmbH
11:00 - 11:45
Data Culture & Ethics (Panel)
Datenethik (DE)Datenethik fasst Themen wie den ethischen Umgang mit Daten, die ethische Nutzung von Algorithmen und ethische Praktiken in der Konzeption und Umsetzung von datengetriebenen Prozessen und Geschäftsmodellen. Im Panel mit Vertretern aus Anwenderunternehmen und Beratungen diskutieren wir die folgenden Fragen...
Building data pipelines and machine learning models in the Cloud for retail use cases (EN)
Alex Osterloh, Solution Consultant Big Data, Google Enterprise & Birol Yildiz, Big Data Architect, REWE Digital GmbH & Carsten Pohl, Software Developer, REWE Digital GmbH
11:00 - 12:30
Workshop
Building data pipelines and machine learning models in the Cloud for retail use cases (EN)Google and Rewe Digital will present real use cases building data processing pipelines and machine learning models on Google Cloud Platform. After an overview of what cloud offers today for building data pipelines to feed machine learning use cases...

How to get real-time value from your IoT data (EN)
Julien Michel, Solutions Engineer, DataStax
11:00 - 12:30
Workshop
How to get real-time value from your IoT data (EN)An increasing number of IOT devices are producing an ever increasing influx of data. Organizations will have to be ready to handle the volume of data they are facing as well as the other challenges IOT may present. Storage is only half of the problem – how do you get real time value from your IoT data?
Data Analytics for the Citizen Data Scientist (EN)
Oliver Wahner, Solutions Consultant, Alteryx
11:00 - 12:30
Workshop
Data Analytics for the Citizen Data Scientist (EN)As a Citizen Data Scientist, do not rely on others to get you the data that you need for your analysis in a ready-to-use shape, just get it done yourself!...

Data Virtualization: The missing link between operational systems, data warehouse, Big Data & Cloud (EN)
Thomas Niewel, Technical Sales Director, Denodo Technologies GmbH
11:00 - 12:30
Workshop
Data Virtualization: The missing link between operational systems, data warehouse, Big Data & Cloud (EN)According to leading Analysts 50% of enterprises will implement some form of data virtualization by 2020. That defines how data virtualization has become an undeniable driving force for companies to implement an agile, real-time and flexible enterprise data architecture...
11:15
11:30
11:45
data.networking(2) (EN)
Host: Nadiem von Heydebrand
11:45 - 12:30
Networking
data.networking(2) (EN)„Share your passion for data“ and meet 10 exciting data people in 30 minutes. Bring your business cards and prepare a short introduction about yourself. You’ll spend three minutes exchanging cards and information with a fellow attendee. When the chime sounds, you’ll move on to the next attendee.
12:00
12:15
12:30
Lunch
12:30 - 13:45
Lunch
12:30 - 13:45
Lunch
12:30 - 13:45
12:45
13:00
13:15
13:30
13:45
Data is the new Oil (EN)
Valentine Gogichashvili, Head of Engineering, Zalando SE
13:45 - 14:15
Data Culture
Data is the new Oil (EN)Data has become the magic word across the world. “Data is the new oil”. When we talk about data, we should not forget, that, as oil, it should be first harvested, then refined, and only then it can be used, to fuel the engines of the statistical and machine learning systems to generate insights, understand what our customers want, and make correct decisions faster than others. We at Zalando – one of the biggest online fashion retailers in Europe – are working hard on making data be that oil for us. I will cover the problems of harvesting and understanding data and will talk on where we at Zalando succeed and where we still need to do more progress on making data – the fuel of our future.
How Eli Lilly is utilizing the power of Data Virtualization for faster Go-To-Market (EN)
Torsten Eid, Associate Consultant IT - Enterprise Information & Platforms, Lilly Deutschland GmbH
13:45 - 14:15
Best Practices in Pharmacy
How Eli Lilly is utilizing the power of Data Virtualization for faster Go-To-Market (EN)As a wide range of pharma companies try eliminating the most complex of diseases with their innovative drugs, the drug discovery process have become more and more complex, costly and time consuming over the last decade....
NVIDIA’s End-to end Deep Learning Platform (DE)
Axel Koehler, Principal SolutionArchitect, Nvidia
13:45 - 14:15
Deep Learning
NVIDIA’s End-to end Deep Learning Platform (DE)NVIDIA GPU’s gelten als Triebkraft des maschinellen Lernens.  Sie ermöglichen Durchbrüche im Deep Learning und begründen ein neues Computing Modell. Maschinen, die von Deep Neural Networks angetrieben werden, lösen Probleme, die für menschliche Programmierer zu komplex sind. Sie lernen von Daten und verbessern sich stetig während der Nutzung. Die Präsentation gibt einen Überblick aktueller Hard- und Software Entwicklungen von NVIDIA für Deep Learning Training und Inference in der Cloud, im Rechenzentren, der Peripherie und in autonomen Maschinen. Beispielhaft wird die  End-to-End Deep Learning Plattform für das autonome Fahren vorgestellt. Desweiteren wird gezeigt, wie Deep Learning Lösungen durch Simulations- und Rendering Technologien optimiert werden können.
14:00
14:15
Necessary Cultural Changes during Migration from Data Warehouse to Cloud Data Platform (EN)
Sean Gustafson, Product Owner - Data Platform, Scout24 Group
14:15 - 14:45
Data Culture
Necessary Cultural Changes during Migration from Data Warehouse to Cloud Data Platform (EN)At AutoScout24 or ImmoScout24 we generate a lot of data. Our cross-company data lake and a unified cloud-base data platform provide all company-internal data to analysts, data scientists and product managers in an efficient manner...
Predictive Analytics@apoBank – wie Ärzte und Apotheker von ML und OpenStreetMap bei der Existenzgründung profitieren (DE)
Sebastian Stremming, Head of Reporting & Analytics, Deutsche Apotheker- und Ärztebank eG; Jannis Schwedes, Data Analyst, Deutsche Apotheker- und Ärztebank eG
14:15 - 14:45
Best Practices in Pharmacy
Predictive Analytics@apoBank – wie Ärzte und Apotheker von ML und OpenStreetMap bei der Existenzgründung profitieren (DE)Die Deutsche Apotheker- und Ärztebank (apoBank) begleitet Heilberufler bei allen Fragen zur Existenzgründung - so auch bei der Suche oder Abgabe der Niederlassung. Mit einem Proof of Concept haben wir untersucht, wie maschinelle Lernverfahren in Kombination mit einer geographischen Darstellung diesen Prozess unterstützen und wie unsere Kunden von Predictive Analytics profitieren können...
Transfer Learning with Convolutional Neural Networks (EN)
Karl Schriek, Machine Learning Expert, Alexander Thamm GmbH | Paul Zernik, Solution Manager, Munich Re
14:15 - 14:45
Deep Learning
Transfer Learning with Convolutional Neural Networks (EN)Over the past 5-10 years there have been huge advances with respect to Artificial Intelligence solutions in the field of Computer Vision. This has largely been driven by a combination of advances in (GPU) processing power, an increase in the amount of high-quality labelled datasets, and innovative new (convolutional) neural network architechtues...
14:30
14:45
Coffee Break
14:45 - 15:00
Coffee Break
14:45 - 15:00
Coffee Break
14:45 - 15:00
15:00
Transforming Automotive with AI (EN)
Daniel Weimer, Deep Learning Lead, Volkswagen AG
15:00 - 15:30
Data & AI in Automotive II
Legacy-Daten fit machen für die neue Welt der KI (DE)
Dr. Stefan Reinheimer,  Geschäftsführer, BIK GmbH
15:00 - 15:30
Data Architecture
Legacy-Daten fit machen für die neue Welt der KI (DE)Die Leistungen moderner KI-Verfahren sind beeindruckend, passieren aber zum großen Teil Bereichen wie Wahrnehmung, Bildanalyse, Spracherkennung – allgemeine Anwendungen und B2C-Anwendungen. Weniger in sehr spezifischen Unternehmensanwendungen. Das ist auch deutlich schwieriger: das tiefe Fachwissen aus dem Unternehmen muss mit Machine-Learning kombiniert werden – Daten aus den Legacy-Systemen der Unternehmen muss als Hintergrundwissen in die Verfahren einfließen. Dafür können die Unternehmen nur selbst sorgen.
Erfolg von Data Excellence messen: Wie hoch ist der ROI von Data Governance & Datenqualitätsmanagement? (DE)
Michaela Mader, Geschäftsführerin, dataspot. GmbH
15:00 - 15:30
Data Governance
15:15
15:30
Value driven data science (EN)
Nina Hubig, Data Scientist, BMW AG & Mathias Riechert, Data Scientist, BMW AG
15:30 - 16:00
Data & AI in Automotive II
Value driven data science (EN)The exponential growth of the technological possibilities to describe and assess all areas of human life revitalizes the question of how far this data use is healthy for our society and democracy. On the one hand, the opportunities using this vast amounts of data and its combinations are endless. On the other hand, the present barely regulated use of data causes widespread misuse threatening the individual’s privacy and often results in minority discrimination...
MicroStrategy – die integrierte Plattform für Datenanalysen für datengesteuerte Innovation (DE)
Marian David Plum, Senior Sales Engineer, MicroStrategy Deutschland GmbH
15:30 - 16:00
Data Architecture
MicroStrategy – die integrierte Plattform für Datenanalysen für datengesteuerte Innovation (DE)Erfolgreichen Organisationen gelingt die Transformation zu einem Intelligent Enterprise, dem ultimativen datengesteuerten Unternehmen. Dies erfordert die richtige Kombination aus Technologie und Technik, um allen Interessengruppen Erkenntnisse aus Daten zu ermöglichen – und zwar über jedes Gerät...
Big Data Governance in der Praxis (DE)
Alin Kalam, Big Data Officer, BAWAG P.S.K.
15:30 - 16:00
Data Governance
Big Data Governance in der Praxis (DE)Um ähnliche Big Data Programme in größeren Unternehmen erfolgreich implementieren zu können benötigt man eine funktionstüchtige Programm Governance, die sich mit vielerlei Themen auseinandersetzen muss. Vor allem geht es dabei im agilen Umfeld um Stakeholder Management, Datenmigration, Data Quality/ Security/ Integrity etc. und definierte Rollen wie Data Owner, Data Scientis bzw. Data Steward...
15:45
16:00
Coffee Break
16:00 - 16:15
Coffee Break
16:00 - 16:15
Coffee Break
16:00 - 16:15
16:15
Fuck Up Session with real life projects (EN)
Teilnehmer Dr. Alexander Borek, Head of Smart Data & Analytics, Volkswagen AG Marcel Kling, Director Customer Data & Advanced Analytics, Lufthansa AG Holger Kömm, Director Data Science Lab, Adidas AG Prof. Peer Kröger, Head Data Lab, LMU München Moderation Alexander Thamm, CEO, Alexander Thamm GmbH Dr. Carsten Bange, CEO, BARC GmbH
16:15 - 17:00
Panel
16:30
16:45

data.stage

festival.stage

alterna.stage

data.stage festival.stage alterna.stage
09:15
Break
09:15 - 09:30
Break
09:15 - 09:30
Break
09:15 - 09:30
09:30
09:45
10:00
360° CX - Visitor Satisfaction Scoring: Ein revolutionäres IoT Reputations-Projekt zahlt sich aus - durch Real-Time Big Data (DE)150.000 Gäste ausgestattet mit RFID Armbändern besuchen täglich vier der weltweit größten Freizeitparks unseres Kunden. Jedes Souvenir, alle Übernachtungen und Mahlzeiten, das Wetter und jede Minute in der Schlange vor Attraktionen und Shows werden über zigtausende von Sensoren  - verteilt über eine Fläche, so groß wie die Stadt San Francisco - erfasst...
10:15
10:30
Coffee Break
10:30 - 11:00
Coffee Break
10:30 - 11:00
Coffee Break
10:30 - 11:00
10:45
11:00
Datenethik (DE)
Teilnehmer Michaela Mader, Geschäftsführerin, dataspot. GmbH & Dr. Holger Kömm, Director Data Science Lab, Adidas AG & Dr. Alexander Borek, Head of Smart Data & Analytics, Volkswagen AG Moderatoren Dr. Carsten Bange, Gründer und Geschäftsführer, BARC GmbH & Dr. Sebastian Derwisch, Data Scientist, BARC GmbH
11:00 - 11:45
Data Culture & Ethics (Panel)
Datenethik (DE)Datenethik fasst Themen wie den ethischen Umgang mit Daten, die ethische Nutzung von Algorithmen und ethische Praktiken in der Konzeption und Umsetzung von datengetriebenen Prozessen und Geschäftsmodellen. Im Panel mit Vertretern aus Anwenderunternehmen und Beratungen diskutieren wir die folgenden Fragen...
11:15
11:30
11:45
12:00
12:15
12:30
Lunch
12:30 - 13:45
Lunch
12:30 - 13:45
Lunch
12:30 - 13:45
12:45
13:00
13:15
13:30
13:45
NVIDIA’s End-to end Deep Learning Platform (DE)
Axel Koehler, Principal SolutionArchitect, Nvidia
13:45 - 14:15
Deep Learning
NVIDIA’s End-to end Deep Learning Platform (DE)NVIDIA GPU’s gelten als Triebkraft des maschinellen Lernens.  Sie ermöglichen Durchbrüche im Deep Learning und begründen ein neues Computing Modell. Maschinen, die von Deep Neural Networks angetrieben werden, lösen Probleme, die für menschliche Programmierer zu komplex sind. Sie lernen von Daten und verbessern sich stetig während der Nutzung. Die Präsentation gibt einen Überblick aktueller Hard- und Software Entwicklungen von NVIDIA für Deep Learning Training und Inference in der Cloud, im Rechenzentren, der Peripherie und in autonomen Maschinen. Beispielhaft wird die  End-to-End Deep Learning Plattform für das autonome Fahren vorgestellt. Desweiteren wird gezeigt, wie Deep Learning Lösungen durch Simulations- und Rendering Technologien optimiert werden können.
14:00
14:15
Predictive Analytics@apoBank – wie Ärzte und Apotheker von ML und OpenStreetMap bei der Existenzgründung profitieren (DE)
Sebastian Stremming, Head of Reporting & Analytics, Deutsche Apotheker- und Ärztebank eG; Jannis Schwedes, Data Analyst, Deutsche Apotheker- und Ärztebank eG
14:15 - 14:45
Best Practices in Pharmacy
Predictive Analytics@apoBank – wie Ärzte und Apotheker von ML und OpenStreetMap bei der Existenzgründung profitieren (DE)Die Deutsche Apotheker- und Ärztebank (apoBank) begleitet Heilberufler bei allen Fragen zur Existenzgründung - so auch bei der Suche oder Abgabe der Niederlassung. Mit einem Proof of Concept haben wir untersucht, wie maschinelle Lernverfahren in Kombination mit einer geographischen Darstellung diesen Prozess unterstützen und wie unsere Kunden von Predictive Analytics profitieren können...
14:30
14:45
Coffee Break
14:45 - 15:00
Coffee Break
14:45 - 15:00
Coffee Break
14:45 - 15:00
15:00
Legacy-Daten fit machen für die neue Welt der KI (DE)
Dr. Stefan Reinheimer,  Geschäftsführer, BIK GmbH
15:00 - 15:30
Data Architecture
Legacy-Daten fit machen für die neue Welt der KI (DE)Die Leistungen moderner KI-Verfahren sind beeindruckend, passieren aber zum großen Teil Bereichen wie Wahrnehmung, Bildanalyse, Spracherkennung – allgemeine Anwendungen und B2C-Anwendungen. Weniger in sehr spezifischen Unternehmensanwendungen. Das ist auch deutlich schwieriger: das tiefe Fachwissen aus dem Unternehmen muss mit Machine-Learning kombiniert werden – Daten aus den Legacy-Systemen der Unternehmen muss als Hintergrundwissen in die Verfahren einfließen. Dafür können die Unternehmen nur selbst sorgen.
Erfolg von Data Excellence messen: Wie hoch ist der ROI von Data Governance & Datenqualitätsmanagement? (DE)
Michaela Mader, Geschäftsführerin, dataspot. GmbH
15:00 - 15:30
Data Governance
15:15
15:30
MicroStrategy – die integrierte Plattform für Datenanalysen für datengesteuerte Innovation (DE)
Marian David Plum, Senior Sales Engineer, MicroStrategy Deutschland GmbH
15:30 - 16:00
Data Architecture
MicroStrategy – die integrierte Plattform für Datenanalysen für datengesteuerte Innovation (DE)Erfolgreichen Organisationen gelingt die Transformation zu einem Intelligent Enterprise, dem ultimativen datengesteuerten Unternehmen. Dies erfordert die richtige Kombination aus Technologie und Technik, um allen Interessengruppen Erkenntnisse aus Daten zu ermöglichen – und zwar über jedes Gerät...
Big Data Governance in der Praxis (DE)
Alin Kalam, Big Data Officer, BAWAG P.S.K.
15:30 - 16:00
Data Governance
Big Data Governance in der Praxis (DE)Um ähnliche Big Data Programme in größeren Unternehmen erfolgreich implementieren zu können benötigt man eine funktionstüchtige Programm Governance, die sich mit vielerlei Themen auseinandersetzen muss. Vor allem geht es dabei im agilen Umfeld um Stakeholder Management, Datenmigration, Data Quality/ Security/ Integrity etc. und definierte Rollen wie Data Owner, Data Scientis bzw. Data Steward...
15:45
16:00
Coffee Break
16:00 - 16:15
Coffee Break
16:00 - 16:15
Coffee Break
16:00 - 16:15
16:15
Fuck Up Session with real life projects (EN)
Teilnehmer Dr. Alexander Borek, Head of Smart Data & Analytics, Volkswagen AG Marcel Kling, Director Customer Data & Advanced Analytics, Lufthansa AG Holger Kömm, Director Data Science Lab, Adidas AG Prof. Peer Kröger, Head Data Lab, LMU München Moderation Alexander Thamm, CEO, Alexander Thamm GmbH Dr. Carsten Bange, CEO, BARC GmbH
16:15 - 17:00
Panel
16:30
16:45

data.stage

festival.stage

alterna.stage

data.stage festival.stage alterna.stage
08:30
Automating everything? Which human skills are needed in the future (EN)
Teilnehmer Dr. Alexander Borek, Head of Smart Data & Analytics, Volkswagen AG | Marcel Kling, Director Customer Data & Advanced Analytics, Lufthansa AG | Holger Kömm, Director Data Science Lab, Adidas AG | Prof. Peer Kröger, Head Data Lab, LMU München | Moderation Dr. Carsten Bange, CEO, BARC GmbH
08:30 - 09:15
Panel
08:45
09:00
09:15
Break
09:15 - 09:30
Break
09:15 - 09:30
Break
09:15 - 09:30
09:30
The Thermomix Data Journey (EN)
Anton Reindl, Int. Product Manager / Data Intelligence, Vorwerk & Co. KG | Marcel Hellmann,  Senior Manager Data Science & Machine AI, Vorwerk & Co. KG
09:30 - 10:00
Customer Centricity
The Thermomix Data Journey (EN)In the last few years Thermomix by Vorwerk has emerged as the number one IoT kitchen appliance. Complemented by a digital ecosystem it supports customers around the world in the preparation of enjoyable and healthy meals at home every day.On the continuing digital journey of Thermomix, modern, data-driven methodologies have been identified as a promising means to generate new Business insights and boost customer satisfaction. Obviously, a capable data processing infrastructure is a prerequisite for leveraging  vast amounts of device and user generated data. In this talk, we will outline our  approach to make data generated on the Thermomix device available for data-driven applications and share some lessons we have learnt during the implementation and operation of the various technologies involved. To this end, we will follow the journey of the data from their generation in the appliance, through the pipes and valves of the big data “machine”, up to the visualization and analytics layer.
Working with GPS data in IoT environment from the data science perspective (EN)
Dubravko Dolic, Lead Architect Advanced Analytics, Continental Reifen Deutschland GmbH
09:30 - 10:00
IoT
Working with GPS data in IoT environment from the data science perspective (EN)One of the most common data types to collect in IoT scenarios is GPS data. At Continental we meet those data in many different Use Cases. As Data Scientist we have to handle huge masses of GPS data so we had to develope some methods to handle those data. In this talk we show some of them. Among other it can be shown how to check for quality in GPS data, calculate Kernel densities for Truck tracks, Optimize flawed data using Kalman Filtering and presenting Spatiotemporal data for different use Cases...
ENTFÄLLT - AI + Creativity - why we all need an enterprise muse (EN)
Klaas Bollhoefer, Founder and Managing Director, Birds on Mars GmbH
09:30 - 10:00
Inspired by Data
ENTFÄLLT - AI + Creativity - why we all need an enterprise muse (EN)Roman Lipski, a renowned painter from Berlin, gets inspired by his Artificial Muse, the first of its kind in the world of art. It is a new kind of symbiosis between man and machine, a dialogue that evolved over the last two years creating not just a new kind of art but step by step a new kind of artist...
09:45
10:00
Next-Best-Action Marketing with Algorithms (EN)
Halvor Garaas, Next Gen Analytics Lead / Global Customer Marketing Engagement, Cisco Systems GmbH | Marcel Weifels, Data Scientist, Alexander Thamm GmbH
10:00 - 10:30
Customer Centricity
Next-Best-Action Marketing with Algorithms (EN)Next-Best-Action (NBA) is known to be the holy grail in marketing. The drastic growth in data volume through digital marketing, as well as the development of new technologies and algorithms lead us closer to the handle. In the presentation we discuss the data science journey for NBA in the context of B2B from drafting an initial concept to running successfull pilots. First we will introduce the idea and goal of NBA and its implications. Starting out from the concept we describe the stepwise development of a solution. The analytical part will be discussed in detail. We will also touch on the toolstack and the technical challenges arrising from it for the implementation. In the end we will present the pilot results. Finally, success factors and pitfalls experienced throughout the project will be highlighted.
Live IoT Use Case demo in E-Commerce Logistics (EN)
Ulrich Ermel, Director New Business Development, PULS GmbH
10:00 - 10:30
IoT
Live IoT Use Case demo in E-Commerce Logistics (EN)The “SmartFab Box” system, created by PULS with freely available standard software, transmits measurement data (vital data of a system: in particular voltage and current values, but also temperature or more complex measurement values; similar to the pulse and blood pressure in humans) from the application directly into a cloud. The connection is made independently via LTE from the sensitive company/factory network. In this way, the “vital data” of a machine/system is sent to a cloud in the same way as “Smart Watches”, but with significantly higher security and runtime requirements. Using a dashboard, users can view their data via www.loadprofiling.com in real time, create their own evaluations and export them to standard data formats at any time...
10:15
10:30
Coffee Break
10:30 - 11:00
Coffee Break
10:30 - 11:00
Coffee Break
10:30 - 11:00
10:45
11:00
Building data pipelines and machine learning models in the Cloud for retail use cases (EN)
Alex Osterloh, Solution Consultant Big Data, Google Enterprise & Birol Yildiz, Big Data Architect, REWE Digital GmbH & Carsten Pohl, Software Developer, REWE Digital GmbH
11:00 - 12:30
Workshop
Building data pipelines and machine learning models in the Cloud for retail use cases (EN)Google and Rewe Digital will present real use cases building data processing pipelines and machine learning models on Google Cloud Platform. After an overview of what cloud offers today for building data pipelines to feed machine learning use cases...

How to get real-time value from your IoT data (EN)
Julien Michel, Solutions Engineer, DataStax
11:00 - 12:30
Workshop
How to get real-time value from your IoT data (EN)An increasing number of IOT devices are producing an ever increasing influx of data. Organizations will have to be ready to handle the volume of data they are facing as well as the other challenges IOT may present. Storage is only half of the problem – how do you get real time value from your IoT data?
Data Analytics for the Citizen Data Scientist (EN)
Oliver Wahner, Solutions Consultant, Alteryx
11:00 - 12:30
Workshop
Data Analytics for the Citizen Data Scientist (EN)As a Citizen Data Scientist, do not rely on others to get you the data that you need for your analysis in a ready-to-use shape, just get it done yourself!...

Data Virtualization: The missing link between operational systems, data warehouse, Big Data & Cloud (EN)
Thomas Niewel, Technical Sales Director, Denodo Technologies GmbH
11:00 - 12:30
Workshop
Data Virtualization: The missing link between operational systems, data warehouse, Big Data & Cloud (EN)According to leading Analysts 50% of enterprises will implement some form of data virtualization by 2020. That defines how data virtualization has become an undeniable driving force for companies to implement an agile, real-time and flexible enterprise data architecture...
11:15
11:30
11:45
data.networking(2) (EN)
Host: Nadiem von Heydebrand
11:45 - 12:30
Networking
data.networking(2) (EN)„Share your passion for data“ and meet 10 exciting data people in 30 minutes. Bring your business cards and prepare a short introduction about yourself. You’ll spend three minutes exchanging cards and information with a fellow attendee. When the chime sounds, you’ll move on to the next attendee.
12:00
12:15
12:30
Lunch
12:30 - 13:45
Lunch
12:30 - 13:45
Lunch
12:30 - 13:45
12:45
13:00
13:15
13:30
13:45
Data is the new Oil (EN)
Valentine Gogichashvili, Head of Engineering, Zalando SE
13:45 - 14:15
Data Culture
Data is the new Oil (EN)Data has become the magic word across the world. “Data is the new oil”. When we talk about data, we should not forget, that, as oil, it should be first harvested, then refined, and only then it can be used, to fuel the engines of the statistical and machine learning systems to generate insights, understand what our customers want, and make correct decisions faster than others. We at Zalando – one of the biggest online fashion retailers in Europe – are working hard on making data be that oil for us. I will cover the problems of harvesting and understanding data and will talk on where we at Zalando succeed and where we still need to do more progress on making data – the fuel of our future.
How Eli Lilly is utilizing the power of Data Virtualization for faster Go-To-Market (EN)
Torsten Eid, Associate Consultant IT - Enterprise Information & Platforms, Lilly Deutschland GmbH
13:45 - 14:15
Best Practices in Pharmacy
How Eli Lilly is utilizing the power of Data Virtualization for faster Go-To-Market (EN)As a wide range of pharma companies try eliminating the most complex of diseases with their innovative drugs, the drug discovery process have become more and more complex, costly and time consuming over the last decade....
14:00
14:15
Necessary Cultural Changes during Migration from Data Warehouse to Cloud Data Platform (EN)
Sean Gustafson, Product Owner - Data Platform, Scout24 Group
14:15 - 14:45
Data Culture
Necessary Cultural Changes during Migration from Data Warehouse to Cloud Data Platform (EN)At AutoScout24 or ImmoScout24 we generate a lot of data. Our cross-company data lake and a unified cloud-base data platform provide all company-internal data to analysts, data scientists and product managers in an efficient manner...
Transfer Learning with Convolutional Neural Networks (EN)
Karl Schriek, Machine Learning Expert, Alexander Thamm GmbH | Paul Zernik, Solution Manager, Munich Re
14:15 - 14:45
Deep Learning
Transfer Learning with Convolutional Neural Networks (EN)Over the past 5-10 years there have been huge advances with respect to Artificial Intelligence solutions in the field of Computer Vision. This has largely been driven by a combination of advances in (GPU) processing power, an increase in the amount of high-quality labelled datasets, and innovative new (convolutional) neural network architechtues...
14:30
14:45
Coffee Break
14:45 - 15:00
Coffee Break
14:45 - 15:00
Coffee Break
14:45 - 15:00
15:00
Transforming Automotive with AI (EN)
Daniel Weimer, Deep Learning Lead, Volkswagen AG
15:00 - 15:30
Data & AI in Automotive II
15:15
15:30
Value driven data science (EN)
Nina Hubig, Data Scientist, BMW AG & Mathias Riechert, Data Scientist, BMW AG
15:30 - 16:00
Data & AI in Automotive II
Value driven data science (EN)The exponential growth of the technological possibilities to describe and assess all areas of human life revitalizes the question of how far this data use is healthy for our society and democracy. On the one hand, the opportunities using this vast amounts of data and its combinations are endless. On the other hand, the present barely regulated use of data causes widespread misuse threatening the individual’s privacy and often results in minority discrimination...
15:45
16:00
Coffee Break
16:00 - 16:15
Coffee Break
16:00 - 16:15
Coffee Break
16:00 - 16:15

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