10 June 2025
To combine the best features of DWH (structured, manageable, high performance analytics) and Data Lake (scalability, handling heterogeneous data), the Data Lakehouse approach was developed. This […]
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- 3D Printing and Rendering
- 4D-6D and Calculation of Carbon Dioxide Emissions
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- A PRACTICAL GUIDE TO IMPLEMENTING A DATA-DRIVEN APPROACH
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- CHALLENGES IN WORKING WITH DATA IN THE CONSTRUCTION INDUSTRY
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- DESIGN PARAMETERIZATION AND USE OF LLM FOR CAD OPERATION
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- ETL AND PROCESS AUTOMATION
- EVOLUTION OF DATA USE IN THE CONSTRUCTION INDUSTRY
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- GEOMETRY IN CONSTRUCTION: FROM LINES TO CUBIC METERS
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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
Vector databases are a new class of repositories that do not just store data, but allow searching by meaning, comparing objects by semantic proximity, and creating […]
10 June 2025
While Data Governance is responsible for controlling and organizing data, DataOps helps ensure its accuracy, consistency and smooth flow within the company. This is especially critical […]
10 June 2025
Traditionally, construction was based on subjective hypotheses and personal experience. Engineers assumed – with a certain degree of probability – how the material would behave, what […]
10 June 2025
Working with open datasets provides a unique opportunity to put into practice the principles discussed in previous chapters: judicious feature selection, representative sampling, visualization, and critical […]
10 June 2025
In the following example we will analyze a large dataset using data from different CAD tools (BIM). To collect and create the large dataset, a specialized […]
10 June 2025
The main hypothesis used to explore the machine learning framework based on the Titanic dataset is that certain groups of passengers had a higher chance of […]
10 June 2025
Linear regression is a fundamental data analysis algorithm that predicts the value of a variable based on a linear relationship with one or more other variables. […]
10 June 2025
But let’s return to the realities of the construction industry. While self-driving cars, decentralized financial systems and artificial intelligence-based solutions are emerging in some sectors of […]
10 June 2025
In this chapter, we look at the digital transformation roadmap and identify the key steps required to implement a data-driven approach that can help transform both […]
