Gordan Kreković is the CEO of Visage Technologies, a computer vision company developing algorithms for applications in automotive (driver assistance and self-driving), as well as software products related to tracking and analyzing of human faces. With a PhD degree in Computing acquired at the Faculty of Electrical Engineering and Computing, University of Zagreb and more than 12 years of professional career in managing software products, teams, and companies, Gordan has a broad experience that interconnects research, engineering, and management. Gordan is the co-author of more than 25 journal and conference papers and is still an active researcher.
Professional Development in AI: How to Stay Relevant?
The pace of AI is immense. The quantity of academic work, practices, tools, and solutions is growing steeply and accelerating. Such a dynamic environment makes it very difficult for machine learning engineers to keep up with the changes. How to choose what to learn? How to put theoretical knowledge into practice? How to make time to learn theory? How to choose relevant sources of information? Which skills are important for machine learning engineers besides domain-specific knowledge and experience?
These questions are difficult, but dealing with them can help individuals prioritize goals for their professional development, and they can help companies support and shape those goals. This presentation will share some insights from Visage Technologies where we have a long tradition of strong education programs and some recent experiences with targeted personal development programs.