CONCLUSION
27 February 2024Revit and IFC with ChatGPT | Automated ETL with CAD (BIM) Data
21 March 2024My name is Artem Boiko. My journey in the construction industry began with a position as a miner after graduating with a degree in Mine and Underground Construction. My career has evolved through various roles, from mining worker in a shale mine to elevator assembler and industrial climber. I have had the honor of working on a wide range of projects, from private home construction to large industrial facilities in several countries around the world.
Since 2013 my career path has turned from construction site to design and data management. I have held various positions in small, medium and large construction companies in Central Europe, from designer to data manager. Regarding data management, my experience lies in working with data in various systems such as various ERP, CAD (BIM), MEP, FEM systems and tools. I am involved in process optimization and automation and also data analysis and processing during the design, estimating and construction phases in companies involved in the construction of industrial, residential, infrastructure and utility projects.
My contribution to the professional community is expressed through my participation as a speaker at conferences on BIM, noBIM, ERP, 5D and Artificial Intelligence topics, as well as articles that have been published in European publications dedicated to the construction industry. One of my notable achievements is the creation of "The BIM Story", a comprehensive map of important data management software solutions in the construction industry. My 7-part article series "BIM Development and Lobbying Games" has been widely recognized and translated into several languages.
My passion for increasing data accessibility in the construction industry is reflected in the founding of several startups offering accessible data solutions from various closed systems and solutions.
Thank you so much for reading this book to the end! I would be glad if this book helps you better understand the topic of data in the construction industry.