ZAGREB, CROATIA

28. -29.06.2017 / 3 keynotes / 16 talks
Meet our awesome and great speakers

June 28th and 29th, 2017, HUB385, Zagreb, Croatia
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Speakers

We will have some really interesting speakers at the conference. Some of them are well known, some of them are really new but you will love them!
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Ratko

Mutavdzic

Learning Data Science and how to apply it to the Thing that he does.

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dr.sc. Leo

Mrsic

How Advanced Analytics transform hospitality industry

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Boris

Blumenschein

Improving understanding of Customer position in a data driven world

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Bojan

Hadzisejdic

What is the role of cloud in providing the platform for the Data Science?

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Steve

Lok

Keynote: How legendary The Economist uses Data Science?

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Darko

Marjanovic

Machine Learning on Telco Network Data: VIP Mobile Serbia Case

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Luka

Stepinac

Data Science and Open Data: How we used data to improve quality of life?

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Dmitry

Turchyn

Transforming businesses and life with Data and Data Science

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Vladimir

Marković

Social Sentiment and Sales – Using big data and social networks to empower sales

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Bojan

Sovilj

Cloudwalker helps companies understand their data in all perspectives

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dr.sc. Goran

Klepac

How do we develop early warning systems based on social networks

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dr.sc. Gordan

Krekovic

How does data science support product design and development processes?

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Katarina

Gašperlin

Analytics Architect at IBM working with clients to design and adopt Analytics Solutions.

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Jelena

Škalec

Analytics Technical Sales team at IBM Croatia where she work with IBM Analytics Portfolio

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dr.sc. Marko

Mitić

How do we detect and prevent frauds in telecoms?

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Bojan

Prerad

Take the their first step to cloud-based predictive models.

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dr.sc. Marko

Velić

Business manager for innovative projects in high-tech Industries.

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Mladen

Mijatović

Experience with predictive modeling, econometrics, machine learning and data mining

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dr.sc. Marko

Krištof

Transforming official statistics – from classic Data Processing to Data Science

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Bojan

Prerad

Take the their first step to cloud-based predictive models.


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