10 June 2025
The appearance of the first chat-LLMs in 2022 marked a new stage in the development of artificial intelligence. However, immediately after the widespread adoption of these […]
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- PART 1. FROM CLAY TABLETS TO THE DIGITAL REVOLUTION: HOW INFORMATION HAS EVOLVED IN CONSTRUCTION
- PART 10. THE CONSTRUCTION INDUSTRY IN THE DIGITAL AGE. OPPORTUNITIES AND CHALLENGES
- PART 2. HOW THE CONSTRUCTION BUSINESS IS DROWNING IN DATA CHAOS
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10 June 2025
Modern tools allow companies to deploy a large language model (LLM) locally in just a few hours. This gives complete control over data and infrastructure, eliminating […]
10 June 2025
The next stage in the evolution of LLM application in business is the integration of models with actual real-time corporate data. This approach is called RAG […]
10 June 2025
When diving into the world of automation, data analysis, and artificial intelligence – especially when working with large language models (LLMs) – it is critical to […]
10 June 2025
Pandas occupies a special place in the world of data analysis and automation. It is one of the most popular and widely used libraries of the […]
10 June 2025
DataFrame is the central structure in the Pandas library, which is a two-dimensional table (Fig. 3.4-6) where rows correspond to individual objects or records and columns […]
10 June 2025
In this part, we reviewed the key types of data used in the construction industry, got acquainted with different formats of their storage and analyzed the […]
10 June 2025
In the era of the data-driven economy, data is becoming the basis for decision-making rather than an obstacle. Instead of constantly adapting information to each new […]
10 June 2025
In addition to PDF documents with tables (Fig. 4.1-2) and scanned versions of tabular forms (Fig. 4.1-5), a significant part of information in project documentation is […]
10 June 2025
Structuring and categorizing CAD data (BIM) is more challenging because data stored from CAD (BIM) databases are almost always in closed or complex parametric formats, often […]
10 June 2025
From 2024, the design and construction industry is undergoing a significant technological shift in the use and processing of data. Instead of free access to design […]
10 June 2025
Today’s design data architecture is undergoing fundamental changes. The industry is moving away from bulky, isolated models and closed formats towards more flexible, machine-readable structures focused […]
10 June 2025
Effective data management requires a clear standardization strategy. Only with clear requirements for data structure and quality can data validation be automated, manual operations reduced and […]
10 June 2025
As the number of digital systems within companies grows, so does the need for data consistency between them. Managers responsible for different IT systems often find […]
10 June 2025
In the context of digitalization and automation of inspection and processing processes, a special role is played by classification systems elements – a kind of “digital […]
10 June 2025
Historically, construction element and work classifiers have evolved in three generations, each reflecting the level of available technology and the current needs of the industry in […]
10 June 2025
Effective management of data (structured and categorized by us earlier) is impossible without a well thought-out storage and processing structure. To ensure access and consistency of […]
10 June 2025
Having a data model and description of entities through parameters, we are ready to create databases – storages, where we will store information coming after the […]
10 June 2025
With data becoming one of the key strategic assets, companies need to do more than just collect and store information correctly – it is important to […]
10 June 2025
Collecting and managing requirements is the first step to ensuring data quality. Despite the development of digital tools, most requirements are still formulated in an unstructured […]
