Eyes on Automation

whitePaper | May 1, 2022

Palletization refers to the process of placing goods or materials, either packaged or bulk, onto pallets. The pallet provides a base for the goods and materials, thereby promoting the efficient storage, handling and transport for the combination of goods and the pallet base, referred to collectively as the unit load.

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 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 | October 30, 2022

State governments across the US need to integrate their planning and development of public infrastructure if they are to deploy funds from the new Bipartisan Infrastructure Law (BIL) effectively, future-proof their communities, and maximize the value of the capital they employ. The case for integration is strong from both a financial and a social perspective, with the potential to help the country meet a number of infrastructure-related challenges.

whitePaper | March 6, 2020

Field service technicians have a unique and valuable vantage on a company's customers and products. Yet, much of what they perceive and do on the job isn't captured in a way that delivers the most value. Assistive technology offers a solution, creating an important link between field service data and the enterprise.

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.