Session Details

ML Summit
The big training event for Machine Learning
October 11 - 13, 2021 | Online April 2022 | Munich

Danilo Dresen


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June 29 – July 1
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IoT Analytics at Scale – Customer based product development

Modern products are data-driven products. Making devices generate data is easy, making that data
work for you is a challenge. It is therefore not surprising that, in addition to process automating IoT
approaches, IoT analytics projects are becoming more and more popular. Hardware is always only
one part of a modern service portfolio and for many business cases it is not the product behavior but
rather the user interaction that counts. Only if all customer touchpoints are considered, the
perspective is sufficiently broadened and clarifying in the end. Based on our contribution to the IoT
analytics solution for the media company HD+, we will address the challenges that a best-practice
platform has to meet. Fast to set up analytics initiatives, data-driven product development and
cloud-native approaches that make the management of such a platform possible in the first place are
essential, complex and therefore so exciting. Learning outcomes: How do I make IoT data usable? How do I incorporate user data into my product development? What does a scaling tech stack look

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