Boris worked for four years as a consultant in McKinsey&Company. He helped to develop bottom-up and implement operations improvement initiatives at over 25 manufacturing plants across several industries and regions, with total EBITDA impact of the initiatives exceeding 1B EUR p.a. His eight years of prior academic experience helped him develop several rigorous analytical approaches to reductions of equipment utilization (OEE) losses, such as shiftly and weekly target setting based on distribution of mean time between failures. Low maturity of present tools for digital performance management available on the global market led Boris to quit consulting career and start InovecTech with the mission to bring latest academic research from machine vision and artificial intelligence to improve equipment effectiveness. Boris holds a PhD in mathematical modeling of rare events from the Univeristy of Cambridge, MSc in mathematical modeling of bio- and nanostructures from the Charles University and MEng in chemical engineering from the University of Chemistry and Technology.