Velocity collars: no longer best engineering practice

whitePaper | February 19, 2020

Government Code Sections 4525 define a qualifications-based selection process where public entities may consider the price of proposed services in the procurement. This process was previously a three-step process starting with advertising for statements of qualifications, then developing a short list, and then requesting proposals from the short list to include resumes, comments on the contract, and price considerations if relevant; but is now often a four-step process, with the last step of negotiating sequentially with the most qualified firms.

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 | 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 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 | February 24, 2022

Cloud-native engineering empowers organizations to design and develop scalable, agile, cost-effective applications and run them in dynamic environments such as on-premises or in public, private, or hybrid clouds. A cloud-native application consists of microservices working together in an application that can be scaled easily. These microservices are often packaged in code along with libraries and dependencies to run anywhere. In a cloud-native app, the application code is designed, built, and delivered very differently than it would be for conventional, monolithic apps. Cloud-native engineering enables loosely coupled systems that are resilient, manageable, and observable to be combined with robust automation, allowing engineers to make changes frequently.

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.