Oleksandr Paraska - Togal.ai - Smart Model Ensembles Make for Smarter Construction

AI is spurring a new wave of companies in construction tech that are transforming this $10 trillion-a-year industry. There’s substantial margin risk in construction when projects aren’t well planned, and this eats into overall economic growth, because construction represents 14% of the world’s GDP. The beginning of a project, known as “take-off,” is critical. Oleksandr Paraska, CTO at Togal.ai, will discuss how machine learning and computer science are improving efficiency in construction. Paraska talks about his journey in guiding his startup by integrating domain experts such as architects and engineering skill sets when building models. He also will explain how the nuances in architectural diagrams require object detection, classification, and segmentation to make sense of them. He also will share the challenges of scaling up processing volumes, in spite of the limits of GPUs, inference times, infrastructure cost, and MLOps resourcing. Paraska will describe some of the challenges in bringing machine learning to the construction industry, as well as the continuing need for custom code and why low ops/no ops tools just won’t work in this environment. In addition to his work at Togal.ai, Paraska is a freelance machine learning consultant at Tribe AI, and has worked as a machine learning engineer and developer at other companies.
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