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*um on tour: dates and events in April 2019

The unbelievable Machine Company on tour: dates and events in April 2019

This month we are out and about in three European metropolises – looking forward to inspiration, exchange and a concentrated load of expertise on the subject of artificial intelligence.

Hello! World 2019 // April 9-11, Barcelona

Hello! World 2019 // April 9-11, Barcelona

On Hello! World Congress in Barcelona, IT experts, customers and partners of our parent company Orange meet to discuss big data strategies and AI innovations according to the motto "Creating a customer-centric business". The agenda includes current customer projects. Thus *um managing director Ravin Mehta will speak together with Thomas Weigoldt, Head of Digital, Delivery, Data & AI at Munich RE, about developing of a global big data platform for the world's biggest reinsurer.

Big-Data.AI Summit // April 10-11, Berlin

Big-Data.AI Summit // April 10-11, Berlin

Once again, Europe's Artificial Intelligence and Big Data Summit will be the meeting place for 5,000 experts and practitioners from business, science and politics. On two days, more than 100 presentations, workshops and keynotes will be held, focusing on three core areas: cross-industry strategies, technologies and trends that find concrete applications in areas such as health, finance and information security. It will also address the ethical and political issues that currently shape the societal debate. Together with our partner Talend, we will have a booth on site. Tickets are still available.

Make artificial intelligence real // April 25, Zurich

Make artificial intelligence real // April 25, Zurich

Three major players in the tech industry –Nvidia, Intel and Dell EMC – invite their customers and partners for exclusive exchange, dialogue and networking at Lake Zurich. In order to critically discuss current trends in the areas of machine learning and deep learning and to address upcoming challenges in artificial intelligence. Michael Hitzinger, Data Architect at *um, will present current use cases and relevant industry insights in machine learning.

To be continued in May.

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