Everything You Need to Know About RPA

whitePaper | February 9, 2021

Construction projects have always faced pressure to begin early mobilization of the construction phase which can result in out-of-sequence work leading to cost and schedule overruns. The decision to proceed with construction requires a standard, objective process that easily identifies the gaps that must be addressed to achieve construction readiness and supports the decision of when to move forward. CII's Construction Readiness Assessment is a game-changer to guide project teams in achieving construction readiness with confidence. Their research shows that construction-ready projects outperform projects that are not ready with 20% better cost performance and 22% better schedule performance2.

whitePaper | September 22, 2022

The Fourth Industrial Revolution, or Industry 4.0, is here for construction. This new period of innovation and growth will be fueled by applying key learnings from other industries, specifically manufacturing, to construction.

whitePaper | September 15, 2022

The aim of WG12 is to ensure that individuals using or otherwise working with construction products are competent to do so, and can demonstrate their competence to others. WG12 has designed the construction products competence (CPC) core level criteria and methodology as outlined in this white paper.

whitePaper | September 22, 2022

Heightened volatility in global supply chains will persist into the future. This has major implications for the construction equipment industry. Based on data from both developed and developing markets, we identify five categories of disruption that are causing component scarcity in the short, medium and long term: geopolitical, structural, environmental, operational and reputational disruptions. For most industry players, geopolitical and structural risks are top of mind.

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 | 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.