AI2FUTURE2019 –2 days, 4 keynotes, 20+ moving presentation

10th & 11th of October 2019, Kraš Auditorium, Zagreb, Croatia
https://i0.wp.com/ai2future.com/wp-content/uploads/2019/09/vladimir_ceperic-458x458.jpg?fit=320%2C303&ssl=1
TrivialLab

Vladimir Čeperić

CTO, Hardware/Software AI/ML & Blockchain

Research scientist with a proven history of delivering comprehensive knowledge and expertise in diverse platforms spanning multiple fronts in both research and professional ICT environments all around the world, from UK, USA to Australia.

Recognized as a trusted adviser who excels in environments that expect a high level of knowledge, dedication and project management. Contributed to many international research projects that gathered renowned corporations (Robert Bosch, British Telecom, Ericsson, ON Semiconductors, ams AG and other) and renowned universities (MIT, University of Cambridge and other).

Key knowledge and strengths lie in Data Science, Machine Learning, Artificial Intelligence, Blockchain, Robotics, Automation, Microelectronics, Data Modeling, Electronic Circuit and System Design, Short-Term Load Forecasting, Energy Price Modeling, Time Series Modeling.

High academic achievements include being a visiting professor at MIT, a double degree PhD and an MBA resulting in over 30 publications in top journals and conferences.

Currently serving as a reviewer for several renowned journals: IEEE Transactions on Neural Networks and Learning Systems (IF=4.4), Information Sciences (IF=3.9), IEEE Transactions on Power Systems (IF=3.5), IASC Computational Statistics & Data Analysis, IEEE Transactions on Aerospace and Electronic Systems.

Passionate about algorithmic (systematic) trading and blockchain.


Vladimir’s

Idea

What we learned from doing AI business on a global scale from a small country
AI is now a global business. Competition is fierce, and the field is constantly evolving. One has to keep track of all new approaches and techniques while keeping an eye on new fields of applications and business opportunities. We will show how we deal with staying on the cutting edge of research in AI while solving real-world industry problems on five quite different cases spanning from AI in high fashion industry up to trading AI bots in financial industry.





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