Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK

Schedule: Retail and e-commerce sessions

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11:1511:55 Wednesday, 1 May 2019
Data Science, Machine Learning & AI
Location: Expo Hall (Capital Hall N24)
Mounia Lalmas (Spotify)
The aim of our mission is "to match fans and artists in a personal and relevant way". In this talk, Mounia will describe some of the (research) work we are doing to achieve this, from using machine learning to metric validation. She will describe works done in the context of Home, Search and Voice. Read more.
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12:0512:45 Wednesday, 1 May 2019
Case studies, Strata Business Summit
Location: Capital Suite 12
Dirk Petzoldt (Zalando SE)
Case Study from Europe’s leading online fashion platform Zalando about its journey to a scalable, personalized Machine Learning based marketing platform. Read more.
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14:0514:45 Wednesday, 1 May 2019
Data Engineering and Architecture
Location: Capital Suite 8/9
Jian Chang (Alibaba Group), Sanjian Chen (Alibaba Group)
We would like to share the architecture design and many detailed technology innovations of Alibaba TSDB, a state-of-the-art database for IoT data management, from years of development and continuous improvement. Read more.
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16:3517:15 Wednesday, 1 May 2019
Data Engineering and Architecture
Location: Capital Suite 8/9
Neelesh Salian (Stitch Fix)
Developing data infrastructure is not trivial and neither is changing it. It takes effort and discipline to make changes that can affect your team. In this talk, we shall learn what we, in Stitch Fix's Data Platform team, do to maintain and innovate our infrastructure for our Data Scientists. Read more.
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11:1511:55 Thursday, 2 May 2019
Data Science, Machine Learning & AI
Location: Capital Suite 15/16
Sophie Watson (Red Hat)
Identifying relevant documents quickly and efficiently enhances both user experience and business revenue every day. Sophie Watson demonstrates how to implement Learning to Rank algorithms and provides you with the information you need to implement your own successful ranking system. Read more.
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14:5515:35 Thursday, 2 May 2019
Data Science, Machine Learning & AI
Location: Expo Hall (Capital Hall N24)
Oliver Gindele (Datatonic)
The success of Deep Learning has reached the realm of structured data in the past few years where neural network have shown to improve the effectiveness and predictability of recommendation engines. This session will give a brief overview of such deep recommender systems and how they can be implemented in TensorFlow. Read more.
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16:3517:15 Thursday, 2 May 2019
Data Engineering and Architecture
Location: Capital Suite 7
Max Schultze (Zalando SE)
Data Lake implementation at a large scale company, raw data collection, standardized data preparation (e.g. binary conversion, partitioning), user driven analytics and machine learning. Read more.