Videos of Big Data Conference Vilnius 2018

November 27-29 2018. Vilnius, Lithuania
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31Speakers
33Reports
450Participants
19Content hours

About conference

Topic:IT

Big Data Conference Vilnius is a three-day conference with technical talks in the fields of Big Data, High Load, Data Science, Machine Learning and AI.

Conference brings together developers, IT professionals and users to share their experience, discuss best practices, describe use cases and business applications related to their successes.

The event is designed to educate, inform and inspire – organized by people who are passionate about Big Data and Data Exploration. 

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Headliners

Pascal van Kooten

Lead Consultant Data Scientist at Jibes Data Analytics
Pascal van Kooten is fascinated by Human Machine interaction. He has been applying AI (such as bots, machine/deep learning) in open-source projects, competitions and enterprises alike. Among his projects: computer vision to determine car damage, lead generation by scanning and interpreting the internet, and generative chatbots to converse intelligently. He currently holds a position as (youngest) Senior Data Analytics Consultant at Jibes Data Analytics in The Netherlands.

Michael Grogan

Self-Employed at IT
Michael Grogan is a data science consultant and educator with a passion for data science. He specialises in the use of Python, R, SQL, and Shiny.

Ahmed Elragal

Associate Professor of Information Systems at LTU
Ahmed Elragal (PhD, MBA, BSc) is a professor of information systems at Luleå University of Technology in Sweden. He has a PhD in Intelligence Decision Support Systems from the University of Plymouth in the UK. He has over fifty research papers and articles published at international conferences and journals. He is the winner of the 2010’s international case study competition on “Business Intelligence”, a prestigious international award. He has over 15 years of consulting experience, focused mainly on enterprise systems and business intelligence. He has helped different regional as well as multinationals organizations [including SAP, Teradata, & Egypt Census Bureau] in the areas of enterprise systems, business intelligence, data mining, big data, analytics, etc.
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Join 3 technical tracks that cover the most important and up-to-date aspects of Big Data, including deep learning, real-time stream processing, data science, predictive analytics and cloud.

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November 27
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Emma Tang
Engineering manager in Data Infrastructure at Stripe
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Dave Russell
Principal Solutions Engineer at Hortonworks
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Lennard Cornelis
Senior Big Data Engineer at ING
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Juan Tomas Garcia
Chief Envisioning Officer at S|ngular
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Gerard Toonstra
Data architect / engineer at BigData Republic
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Organizer committee: DATA MINER LABS, bigdata@dataminer.lt,

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