You won't want to miss a compelling demonstration of a predictive safety application, to be presented at the upcoming Utility Analytics Week in San Diego on October 19th. SoCalGas will present a coaching tool, based on machine learning, to support…
Tom Davenport, First Analytics chairman and noted author and expert on analytics is releasing two books this month, September, 2022. Working with AI: Real Stories of Human-Machine Collaboration explores worker-AI collaboration in real world settings. By offering detailed, real-world case…
There has never been a more challenging time for the trucking industry. From driver retention and recruiting, to safety, maintenance, and fuel savings, leading companies are now beginning to use a data analytics approach to improve their operations and financial…
It may be said that predictive maintenance is the poster child for the "analytics of things." Preventing down time and reducing maintenance costs has been a successful use of data science for a long time. But sometimes there is…
This post is a companion to our previous post, Beyond Data Science: Industrial Engineering. The notion in that article was that there is more to analytics than just data science, the specific case being industrial engineering. For a long time…
With the easing of the pandemic we are beginning to see increased employee turnover in what some are calling the "Turnover Tsunami" Indeed, data from the Bureau of Labor Statistics is beginning to show very early signs of a…
As a heavy industry, railroads seek to appeal to the finance community by focusing on metrics that speak to the company’s efficient utilization of its assets. A key metric is Operating Ratio, which is defined as operating expenses as a…
Data scientists at First Analytics were among many in the profession who were pressed into service to address the pandemic. Our chairman, Tom Davenport, recently published several stories showing how various companies grappled with the radical change in their business.…
Perhaps the most common use of machine learning algorithms is to look for anomalies or unexpected events and send an alert to somebody who can act on it. See for example, this use of machine vision, which triggers real-time alerts to an…
Year-over-year comparisons can attribute too much of a volume decline to COVID-19. That is what we showed at the beginning of the pandemic, with predictive analytics applied to railroad car loadings data from the American Association of Railroads (AAR). The…