As Data Scientist at Project Botticelli Ltd, Rafal focuses on making advanced analytics and artiﬁcial intelligence easy and useful for his clients.
He can help you ﬁnd valuable, meaningful patterns and statistically valid correlations using data mining and machine learning in data sets both big and small. Rafal is also known for his work in business intelligence, data protection, enterprise architecture, and solution delivery. While majority of his clients come from consumer and corporate ﬁnance, entertainment, healthcare, IT, retail, and the public sectors, Rafal has worked in almost all industries.
He has been a popular speaker at major IT conferences since 1998, and he had the honour of sharing keynote platforms with Bill Gates and Neil Armstrong. A natural educator, he explains complex concepts in simple terms in his enjoyably energetic style.
Rafal was born in Poland. He left it in 1990 to study computing in United Kingdom, where he earned BEng in Computing Science, followed by MSc in Foundations of Advanced Information Technology, at Imperial College, University of London. His studies were sponsored by Oxford Computer Group Ltd, where he later worked as a developer, trainer, and a consultant. Since 2000 he has worked for Project Botticelli Ltd.
Networking with keynote speaker Rafal Lukawiecki
Ovo predavanje je na engleskom jeziku.
During this networking session you will have a chance to ask Rafal any questions on the subjects of Artificial Intelligence, Machine Learning, and Data Science—or, indeed, on any IT-related subjects within Rafal’s competency or experience.
Ukoliko ste zainteresirani za online networking, prijavite se što prije jer je broj sudionika ograničen i popunjava se po principu što brže prijave (first come, first served).
Kako se prijaviti? Dodajte Networking by Microsoft u svoje favorite tako što ćete kliknuti na “Dodaj u moja predavanja” – dodavanjem networkinga u svoje favorite ste se ujedno prijavili za sudjelovanje (imajte na umu da morate biti logirani na www.windays.hr kako biste networking dodali u svoja predavanja, odnosno u svoje favorite). Ukoliko je networking već popunjen, dobit ćete automatsku poruku te ga nećete moći dodati u svoje favorite.
Kada se uspješno prijavite, sat vremena uoči početka networkinga dobit ćete na e-mail poziv na Teams sastanak putem kojeg ćete moći pristupiti networkingu.
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