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, Expo Hall
Location: Expo Hall (Capital Hall N24)
Mounia Lalmas (Spotify)
Spotify's mission is "to match fans and artists in a personal and relevant way." Mounia Lalmas shares some of the (research) work the company is doing to achieve this, from using machine learning to metric validation, illustrated through examples within the context of home and search. 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)
Dirk Petzoldt shares a case study from Europe’s leading online fashion platform Zalando illustrating 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)
Jian Chang and Sanjian Chen share the architecture design and many detailed technology innovations of Alibaba TSDB, a state-of-the-art database for IoT data management, and discuss lessons learned 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; neither is changing it. It takes effort and discipline to make changes that can affect your team. Neelesh Salian discusses how Stitch Fix's data platform team maintains and innovates its infrastructure for the company's 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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12:0512:45 Thursday, 2 May 2019
Data Science, Machine Learning & AI, Expo Hall
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 been shown to improve the effectiveness and predictability of recommendation engines. Oliver Gindele offers a brief overview of such deep recommender systems and explains 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 8/9
Max Schultze (Zalando SE)
Max Schultze details Zalondo's end-to-end data integration platform to serve analytical use cases and machine learning throughout the company, covering raw data collection, standardized data preparation (binary conversion, partitioning, etc.), user-driven analytics, and machine learning. Read more.