Tom Davenport, First Analytics chairman and noted author and expert on analytics just released his latest book in late January, All-in On AI: How Smart Companies Win Big with Artificial Intelligence. Filled with insights, strategies, and best practices, All-In on…
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…
With supply chain issues topping recent news, the railroad industry is under scrutiny for how well they operate their networks. As a follow-up to our previous post about railroad industry operating ratio, we here consider how analytics and machine learning…
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…
First Analytics CEO Michael Thompson recently participated in a webinar hosted by Steve Barnett, of Symphony Industrial AI, a First Analytics partner. We invite you to view the recording, where you will learn the key considerations in moving from a…
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…
Over four years ago we commented on "bewildering technology landscapes". Matt Turck from Firstmark Capital has produced these landscape charts for a number of years. And these can be "eye charts" in the sense that, visually, it's a myriad of logos packed…
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…
Much attention has been heaped upon the data science profession for about a decade now, including by our own chairman, Tom Davenport, who called it "the sexiest job of the 21st Century". Well-known hierarchies of types of analytics generally show…
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…