Big Data - Big Questions for the Engineering and Construction Industry

whitePaper | April 30, 2021

How an interactive approach to automation infrastructure can conserve resources while accelerating innovation. iscover the power of embracing agility over predictability, especially in uncertain times.See how agile automation can help identify challenges before they waste resources.Learn why a segmented automation approach can mitigate business and technical risks

whitePaper | June 19, 2022

The private rental market is playing an increasingly vital role in meeting the nation’s housing needs. Over four million households currently rent their homes, which is doublethe two million who rented at the turn of the century.1 In London alone, it is predicted that by 2025 just under 40% of households in the capital will be renting.2 The Montague Report, which was published by the Government in 2012, considered how to encourage investment into the private rented sector, and recognised the opportunity for the rental market to accelerate the delivery of homes, whilst setting the standards for accommodation, and seeking to attract institutional investment into the market.

whitePaper | May 1, 2021

Technology enabling data capture and analysis, connectivity, monitoring and control is becoming the new baseline for smart buildings of tomorrow. Understanding what it is and where it’s headed is critical.

whitePaper | May 31, 2021

he digital planning, which can now be found in architecture and design offices, at general contractors or via prefabrication, bricklaying robots and GPS-based excavators already on the building site, is characterized by Building Information Modeling (BIM). Yet, BIM is only really an efficient and commercial option if it is paired with the integrated working method.

whitePaper | May 12, 2022

Machine learning is powering most of the recent advancements in artificial intelligence including autonomous systems, computer vision, natural language processing, predictive analytics, and a wide range of applications among the seven patterns of AI. However, in order for these systems to be able to create accurate generalizations, these machine learning systems must be trained on data. The more advanced forms of machine learning, especially deep learning neural networks, require significant amounts of data to be able to create models with acceptable levels of accuracy.

whitePaper | August 13, 2022

Even before the pandemic, new technology trends and climate change were already pushing industrial organizations to reshape traditional business models. After the pandemic, this shift has only become more urgent. Today, organizations are seeking new ways to both drive their energy transition effectively and meet high-priority digital transformation needs.