Facilitate innovative STEM education & workforce readiness using weather data

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 | May 16, 2022

This paper explores the reluctance of developers of cyber-physical systems to embrace digital engineering (DE), how DE methods should be tailored to achieve their stakeholders' goals, and how to measure the effectiveness of DE-enabled workflows.

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 | June 23, 2022

Model-Based Systems Engineering (MBSE) is perhaps one of the most misunderstood and often abused acronyms in the engineering vernacular. Many companies struggle to understand how it will improve their entire product lifecycle and address the ever-increasing complexity of products. In many companies, executives and middle management experience a lack of understanding regarding the rapid pace of today’s technology and its impact on organizations and processes. Technical practitioners may gain additional insight as they focus their energies on establishing strong MBSE practices. The successful implementation of MBSE includes transformations and enhancements in three key areas: organization, process and technology. This white paper shares proper planning and implementation considerations in adopting an MBSE practice. It provides a high-level view, defines critical components to help success and identifies many problematic areas to avoid in an implementation journey.

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 | October 17, 2022

Engineering calculations are at the heart of civil engineering design. The calculation sheets that accompany a project can provide evidence of the design competency and that the specifications are met. Common building calculations are formalized in design guides, such as Eurocodes, AASHTO, IBC etc. The equations tend to be mathematically simple – only needing basic arithmetic operations on the design parameters – but they still require engineering experience to determine the which, why, and when.