utorak | 12:30 | KSET

Building great products with AI in industry

Artificial intelligence has gained a lot of popularity lately and we’ve seen many examples on how this technology can change our lives. In this talk we give an overview of applications of machine learning and artificial intelligence in Realnetworks. We show which problems need to be solved in order to create a practically usable AI system. We show how data is one of the most important assets in computer vision and NLP and demonstrate the true meaning of big data, when building a world class product.

O predavaču

Pavle Prentašić was born in 1989 and he received his Masters of Engineering and PhD titles from University of Zagreb, Faculty of Electrical Engineering and Computing under supervision of Professor Sven Lončarić, in 2012 and 2019, respectively. He is currently the lead data scientist on SAFR, a premier face recognition platform developed by Realnetworks Inc. In this role he leads a group of talented data scientists and engineers developing and applying state of the art machine learning technologies in creating high accuracy, reliable and efficient AI products. His research interests include computer vision, machine learning, deep learning.

O poduzeću

Building on a legacy of digital media expertise and innovation, RealNetworks has created a new generation of products that employ best-in-class artificial intelligence and machine learning to enhance and secure our daily lives. SAFR ( is the world’s premier facial recognition platform for live video. Leading in real world performance and accuracy as evidenced in testing by NIST, SAFR enables new applications for security, convenience, and analytics. Kontxt ( is the foremost platform for categorizing A2P messages to help mobile carriers build customer loyalty and drive new revenue through text message classification and antispam.