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The rise of AI in construction

The construction sector is one of the late adopters as it comes down to artificial intelligence technologies. However, with the relative low margin in these market and rising threats, such as the decreasing available workforce, it is time to innovate and embrace AI into the construction sector.

Possible AI-powered Applications for the construction industry

Design optimization

Using the AI and 3D visualization techniques it is possible to create a better understanding of the design of a new construction and the needed resources to manufacture and build it.

Quality control

Using nodes, camera's and IoT sensors, it is possible to monitor all actions during the construction process. By the use of Image Recognition and deep learning, it is possible to signal dangerous movements that could lead to damage and high costs.

Optimized planning

When sufficient data capturing techniques are installed, it is possible to better analyze the construction proces and predict obstacles on the road.

A hard Brexit could decrease the available workforce drastically.

The global workforce of employers in construction is decreasing, and political developments could have a negative influence of the available workforce. Use robots & AI as your best replacement for standardized processes and replace workers.

Key components

Types: building and residential construction. Processes: design, budgetting, forecasting, planning and political developments.

Global footprint

7% of all employees in the world are active in the construction sector. The construction industry contributes with 13% to the global GDP. The Construction market in India will grow twice as fast as China by 2030 and the UK overtakes Germany becoming the largest in Europe and sixth in the world by 2030.

Threats

Politics (brexit), aging workforce, rising oil prices.

What value can bring Data Science & AI to your construction company?

Data capturing

Using smart cameras, nodes and IoT sensors, you can gather more information about the developments of your goods.

Machine Learning

Using deep learning techniques and image recognition, you automatically convert your data to actionable insights.

The data ecosystem

Connecting data sources from different stakeholders in the value chain, you can create an ecosystem and profit from large scale data analysis.

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