10 June 2025
For millennia, the amount of information recorded in construction has barely changed, but it has grown rapidly in recent decades (Fig. 1.1-5). According to the PwC […]
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- 3D Printing and Rendering
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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
- PART 3. DATA FRAMEWORK IN CONSTRUCTION BUSINESS PROCESSES
- PART 4. DATA QUALITY: ORGANIZATION
- PART 5. COST AND TIME CALCULATIONS: INCORPORATING DATA INTO CONSTRUCTION PROCESSES
- PART 6. CAD AND BIM: MARKETING
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- TRANSFORMING DATA INTO STRUCTURED FORM
- TURNING CHAOS INTO ORDER AND REDUCING COMPLEXITY
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10 June 2025
In later parts of the book, we will look in detail at how specialists interact with each other and how data becomes the basis for decision […]
10 June 2025
In the modern construction industry, the systems, applications and data warehouses of companies are actively filled with information and data of various types and formats (Fig. […]
10 June 2025
In the construction industry, information comes from many sources – drawings, specifications, schedules and reports. To effectively manage this flow of information, it needs to be […]
10 June 2025
Although most of the data used in applications and information systems is in structured form, most of the information generated in construction is in the form […]
10 June 2025
Textual data in the construction industry covers a wide range of formats and types of information, from paper documents to informal methods of communication such as […]
10 June 2025
Modern CAD and BIM systems store data in their own, often proprietary formats: DWG, DXF, RVT, DGN, PLN and others. These formats support both 2D and […]
10 June 2025
The concept of Building Information Modeling (BIM), first outlined in the 2002 BIM Whitepaper (“Building Information Modeling Whitepaper site,” 2003), originated from the marketing initiatives of […]
10 June 2025
Whether it is large corporations or medium-sized companies, specialists are daily engaged in filling program systems and databases with various interfaces with multiformat information (Fig. 3.2-1), […]
10 June 2025
Today, most companies are facing a paradox: about 80% of their daily processes still rely on classic structured data – familiar Excel spreadsheets and relational databases […]
10 June 2025
The emergence of Large Language Models (LLMs) was a natural extension of the movement towards structured open data and the Open Source philosophy. When data becomes […]
10 June 2025
Big language models (ChatGPT, LlaMa, Mistral, Claude, DeepSeek, QWEN, Grok) are neural networks trained on huge amounts of textual data from the Internet, books, articles and […]
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 […]
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
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 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
One of the most common tasks in construction projects is to process specifications in PDF format. To demonstrate the transition from unstructured data to a structured […]
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
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 […]
