Courses with lecturer
Jakub is a senior AI architect with more than 11 years of experience in computer science and startup strategy, specializing in graph algorithms, NLP, GNN, probabilistic graphical models and causal inference. He has served as a founder or technical lead in several education startups and has led more than two dozen projects including chatbots, text generation, predictive machine learning, web portals, and graph database APIs.
His passion lies in using the most modern technologies to build software and process scientific research supporting the innovative potential of the Czech Republic. He has experience in building complex AI systems for a number of startups and corporations, where he integrated, among other things, knowledge graphs, graph neural networks and large language models
HubSpot is an American software development company. It has 8,000 employees and branches in several countries around the world. Processes related to lead generation and qualification were time-consuming and not always efficient, reducing sales productivity.
AI in practice: DHL has accelerated the delivery of parcels
DHL is one of the largest logistics companies in the world. It provides transportation and delivery of parcels in many countries. However, route planning, warehouse management and demand forecasting were difficult and often inefficient.
Microsoft, a global tech giant, faced challenges with its complex financial processes, which involved extensive financial planning and analysis (FP&A). Traditional methods were time-consuming and sometimes inaccurate, leading to delayed decisions and potential financial risks.
HubSpot is an American software development company. It has 8,000 employees and branches in several countries around the world. Processes related to lead generation and qualification were time-consuming and not always efficient, reducing sales productivity.
AI in practice: DHL has accelerated the delivery of parcels
DHL is one of the largest logistics companies in the world. It provides transportation and delivery of parcels in many countries. However, route planning, warehouse management and demand forecasting were difficult and often inefficient.
Microsoft, a global tech giant, faced challenges with its complex financial processes, which involved extensive financial planning and analysis (FP&A). Traditional methods were time-consuming and sometimes inaccurate, leading to delayed decisions and potential financial risks.
