After Work #mayatoTalksData – 10th October 2018 in Berlin

“Applied Magic: Real Data Science Solutions in Practice” is the topic of our next after-work event #mayatoTalksData on 10th October 2018. For those who are interested in the program we invite you to the Design Offices Berlin from 6 – 9 p. m.. Attendees will have the chance to network with mayato and other attendees over tasty drinks and snacks. The attendance is free of charge.

Data is the raw material of the 21st century and companies such as Amazon or Google use data science to influence users with offers based on their preferences or to develop autonomous cars. These are exciting projects that enable companies to gain intelligent insights into their customers and revolutionize mobility in the long term. But what makes Google and Facebook seem so easy in theory poses various challenges in practice: is there enough data available at the required quality? How can you establish a data science department? And above all, how can you elaborate meaningful solutions that generate real added value?

So it’s all just hype or can companies beyond Silicon Valley also use data science? To answer this question, we would like to take you on a journey of discoveries during our next talk. True to the motto “Beyond Bullshitting”, learn more about which use cases can be successfully implemented in practice, which are the typical pitfalls and challenges, and how you can use Data Science profitably in your company using suitable measures. And find out what machine learning, recommendation engines and predictive maintenance have to offer in practice.

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DataTalk mit mayato
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Leitung Analytics bei mayato

Caroline Kleist, Head of Analytics at mayato

Caroline Kleist heads the Analytics division at mayato. With a Master of Science in Statistics and extensive project experience, she is an expert in data science. She is an experienced consultant for the introduction and establishment of Advanced Analytics methods in companies from various industries as well as for the implementation of Data Science projects – whether customer analytics projects such as Recommendation Engines or Streaming Data Analytics for Predictive Maintenance.

Target Audience

The event is aimed at anyone interested in digitization, business intelligence, business analytics and artificial intelligence.


10th October 2018, 6 – 9 p. m.


Design Offices Berlin | Unter den Linden 26-30 | 10117 Berlin

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