Library

This book demonstrates the use of predictive analytics and machine learning to improve safety rates in various organizations, presenting real case studies and emphasizing the transformation of safety data collection from backward-looking to forward-looking and predictive methods

An 11-minute conversation between two AIs about the book, Predictive Safety Analtyics.

Through real-world examples, learn how you can use Predictive Safety Analytics with data you already have to further improve employee and public safety.

An April, 2024 webinar hosted by the software company SAS

A February 2022 CHOL Webinar.

A one-minute overview of our Predictive Safety Analytics offering.

A 2017 Webinar hosted by the software company SAS

April, 2024 Harvard Business Review Online article co-authored by First Analytics co-founders Tom Davenport and Mike Thompson, along with Jim Sterne.  (This is a link to to article — we are unable to provide a downloadable PDF)

A guide to evaluating the claims from vendors regarding AI in their solutions.

May 2024 webinar and panel discussion hosted byt the Community of Human and Organizational Learning.

General session at the Community of Human and Organizational Learning Conference (CHOLearning) 2023 conference.  The world of Generative AI evolves so quickly, we figured the content would be stale in a number of weeks.  And it was.  But we make this available here.

A Framework for Classifying AI/ML and Analytical Applications.

How machine learning boosts statistical forecasting for better demand planning at Kelloggs.  Presentation at SAS Analytics Experience 2018.

From the Big Ideas in Supply Chain podcast, by Kinaxis, a discussion on how to make any supply chain disruption-proof.

This article appears in the Spring 2023 edition of the Journal of Business Forecasting.

This article originally appeared in Foresight, Issue 67 and is made available with permission of Foresight and the International Institute of Forecasters.

Published in the  journal of the Locomotive Maintenance Officers Association.

An AI we trained to help railroads reduce greenhouse gas emissions.  A ChatGPT Plus, Team, or Enterprise subscription is required.  Get a flavor of a typical conversation in this document.

We analyzed test data generated at the Transportation Technology Center for our client, MPL Innovations.  More details here.

We projected test data generated at the Transportation Technology Center to potential real-world railroad contexts for our client, MPL Innovations.  More details here.

A paper presented at the International Heavy Haul Association 2015 conference.

This interactive dashboard we built shows estimates of the animal health loss envelope (AHLE) for livestock using publicly available data.  This is part of the Global Burden of Animal Diseases (GBADs) project. To learn more see the GBADs webpage

We supported the research in this paper with statistical analysis.  See also this blog post.

Tom is the chairman and co-founder of First Analytics.  Many of his publications are listed at his personal website.