MIT Sloan School of Management
The COVID-19 pandemic has disrupted everything from consumer behavior to supply chains, and the economic fallout is causing further changes. The data analytics field faces a complicated problem: how to use past data, and predict future behavior, in the face of uncertainty. Few organizations are facing business as usual or as expected.
“It’s hard to get good data about the future, so we have to use data from the past,” said Thomas Davenport, a professor at Babson University and fellow at the MIT Initiative on the Digital Economy. “And if the past is no longer a guide to the future, we’re going to have a tough time doing any sort of predictive analytics.” Full Article
Scale data is very important for companies to receive and record information. Nowadays, the majority of companies are still recording data by hand and transposing the information to spreadsheets or other digital formats. As technology continues to advance, many customers want to obtain the weight data in digital format directly from the scale to minimize human error and increase efficiency and reporting.
Getting weight data from the scale requires special equipment to allow the scales to communicate with other devices. This article will go over the different types of equipment and how they are used to communicate with the scales. The five main types of communication are: serial, ethernet, fiber optic, USB, and analog (0-10 V or 4-20 mA). Full Article
Brian R. May - Managing Director, Industrial North America, Accenture
Cloud, the popular metaphor for a group of on-demand and computer-powered services, has largely played a support role for industrial operations in recent years. Today, however, the scaling flexibility of cloud can provide industrial companies optimized IT cost, agility, and a platform for growth, which are critical to their future success—and with good reason.
From the start of 2020, industrial companies faced a challenging outlook. Revenue growth and profitability were slowing due to a progressing global economic downturn and a significant drop in industrial production. Many were focusing on efficiency improvements, restructuring, and reshoring the production chain, already making the flexibility that comes with cloud technologies a necessity. Full Article