Predictive Safety Analytics: Reducing Risk through Modeling and Machine Learning

Author:   Robert Stevens
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032427546


Pages:   88
Publication Date:   26 May 2025
Format:   Paperback
Availability:   In Print   Availability explained
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Predictive Safety Analytics: Reducing Risk through Modeling and Machine Learning


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Author:   Robert Stevens
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.180kg
ISBN:  

9781032427546


ISBN 10:   103242754
Pages:   88
Publication Date:   26 May 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Safety in Numbers: A Data-Driven Approach. 2. Analytics Defined. 3. The Safety Data Repository. 4. Use Cases. 5. Where to Go from Here.

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Author Information

Rob is part of the leadership team at First Analytics, a boutique analytical consulting firm. First Analytics designs and implements predictive analytics and machine learning solutions. The firm services multiple industries with many applications. With an enabling engagement model, the firm teams up with its clients to build their in-house capabilities and systems. In his role as Vice President at First Analytics, Rob helps companies develop and execute programs to cultivate their analytics competency. He brings experience to bear stemming from more than thirty years as an analytics professional, starting as an econometrician. His career has consisted of consulting, product development, client service, technical, and sales roles within software, consulting, and market research firms. Rob has participated in or led safety analytics implementations in the railroad, utility, oil and gas, and manufacturing industries. He has spoken on predictive safety analytics in venues such as National Safety Council congresses, an OSHA safety conference, human and organizational learning conferences, manufacturing forums, private analytics consortiums, and conferences and webinars sponsored by software companies.

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