Vegard Flovik
VP of AI and Data Science at Aize
Expertise: Python, machine learning, data analysis, Scikit-learn, TensorFlow, PyTorch, Pandas.
Education: Norwegian University of Science and Technology

Vegard Flovik is the VP of AI and data science for the digital workplace platform Aize. He has more than 10 years experience as a data scientist and researcher, and previously worked as a lead data scientist for Axbit AS and as an analytics lead for Kongsberg Digital. Flovik is also an adjunct associate professor in data analytics and machine learning for the Norwegian University of Science and Technology. He holds a doctorate in physics from the same university.

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A dot and line graph cluster.
Graph Theory is the study of relationships using vertices connected by edges. It is a helpful tool to quantify and simplify complex systems.