Ausgewählte Vorträge des Data Festivals 2018
Vielen Dank an alle Speaker, Besucher und Sponsoren.
How to Transform a Global Company into a Data Driven Leader | Alexander Borek & Alexander Thamm
Each Data Transformation Journey is different, but there are some solution patterns that can help in traditional industries. The presentation will explore the following questions on how to drive the change towards a truly data driven enterprise:
- How can you implement data at the heart of your business to enhance your customer’s experience of your brand?
- How to set the right environment to launch your data projects in an agile way that allow you to fail fast and move on for a quicker route to success?
- How can you create a modern data culture that will revolutionise company operations to get the most out of working with your data assets and drive your business forward?
- How can you keep the right balance between investments to incorporate new technologies (e.g. Artificial Intelligence and Blockchain Technologies) and the basic groundwork to make sure your company is ready to absorb them?
What is the big in (Big) data? And how lean can your data be… | Dat Tran
Deep Learning, Artificial Intelligence, Tensorflow, Spark, Flink, Big Data, Smart Data, Hadoop, IoT, Agile, Cloud… There has been a lot of hype around those buzzwords and no they are not names of any Pokemons. In this talk, I want to make some sense out of the buzz nowadays. I will share some of my war stories as well as my own experiences in building up a data science team at the largest price comparison service in Germany.
Dat Tran, Head of Data Science, idealo.de
Data is the new Oil (EN) | Valentine Gogichashvili
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.
Valentine Gogichashvili, Head of Engineering, Zalando SE
How data connects cultures, markets & business and generates massive potentials | Dr. Stefan Meinzer
The national sales companies of the automotive industry have the closest contact to the dealers and the customers in the automotive industry. They push on sales and customer interaction. However, due to intercultural differences or language barriers the development of business models is still challenging and thereby requires high human efforts. On the other hand, there is one language that is unique around the world – DATA. Based on a concrete use case, we explain how the BMW Group uses the existing international knowledge to define new data driven business models that will drive customers’ centricity to the next level. With latest machine learning methodologies, skilled data scientists and international automotive experts we let data bundle the strengths to shape the future.
Dr. Stefan Meinzer, Head of regional analytics services for EMEA, BMW AG
Necessary Cultural Changes during Migration from Data Warehouse2Cloud Data Platform | Sean Gustafson
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. With the right team, it is relatively easy to technically implement a data platform in the cloud. However, such a platform will not be successful until a suitable culture change also takes place in the company. A new approach to data and new trust must be found. This presentation describes technical, organizational and cultural challenges in migrating from an on-premise data warehouse and Hadoop cluster to a scalable, secure and flexible data platform in the AWS cloud.
Sean Gustafson, Product Owner – Data Platform, Scout24 Group
Blockchain – StatusQuo & Potential | Thomas Schmiedel & Sebastian Heinz & Marco Plaul
The blockchain technology has developed into one of the most important disruptors of our times, with potential for changing the economy as a whole in the near future. We will therefore discuss the following questions in the panel: What is the Blockchain and how does it work? And what are Smart Contracts and how can they be used by companies? What are the biggest advantages of the Blockchain? Which industries can benefit most from the Blockchain? How can companies develop new business models based on the blockchain? What are the biggest challenges in using blockchain technologies for companies?
Thomas Schmiedel, Data Scientist, Data Reply
Sebastian Heinz, CEO, Statworx
Marco Plaul, Data Scientist, Alexander Thamm GmbH
Working with GPS data in IoT environment from the data science perspective | Dubravko Dolic
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 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. Most of the examples will be done using R and Shiny but Examples in Python and QGIS are also available. The audience will recieve a good overview how to work with Geospatial data even when the data size is huge.
Dubravko Dolic, Lead Architect Advanced Analytics, Continental Reifen Deutschland GmbH
Understanding furnishing styles from images | Christian Nietner
RoomAR is a new bleeding edge software product that is targeting retailers and manufacturers in the furniture and home furnishing industry. The software visualizes virtual products in the real world using the RoomAR augmented reality mobile app. The user experience is enriched by personalized product recommendations. With the help of deep learning and computer vision algorithms, the personal interior design style and the actual living situation of users are considered. In this talk we present our approach on how to use machine learning algorithms to understand individual furnishing styles from images. We show how this work is the basis for a new visual recommender system for interior products and outline the first step on the road to a personal digital interior designer.
Christian Nietner, Founder & CTO, RoomAR