Strategic Focus: Improving Health And Safety With AI

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Executive Summary

The market for artificial intelligence (AI) projects is growing as larger volumes of proven deployments de-risk projects in the eyes of executives and greater use of cloud infrastructure lowers the barrier to entry. Additionally, the COVID-19 crisis has accelerated firms’ AI adoption plans due to its usefulness in managing shift working arrangements, supply chains and consumer purchasing. With AI filtering through into every facet of organizations, Verdantix sought to offer clarity on the growing applicability of AI to EHS. This report will help EHS directors and executives understand AI’s applicability to EHS and support them in leveraging AI to deliver cost savings, enhanced EHS performance and time savings to focus on value-added tasks. This study spotlights high-value EHS use cases of AI whilst also offering guidance for EHS functions seeking to initiate AI projects.

Strategic Focus: Improving Health And Safety With AI 
Three Machine Learning Subfields Which Will Reinvent Traditional EHS Processes
AI Adoption Will Accelerate As Cost Savings And Quality Improvement Benefits Become Too Great To Ignore

EHS Executives Should Leverage AI To Automate EHS Processes And Improve Analytics 
AI Will Automate Time-Consuming Tasks, Reducing The Burden On EHS Professionals 
The Intersection Of AI Algorithmic Advances And Higher Quality EHS Data Is Leading To Improved AI Analytics

EHS Executives Must Ensure They Are Operationally Ready To Deploy AI Projects

Figure 1. The Building Blocks Of AI Systems 
Figure 2. EHS Use Cases Of AI  
Figure 3. Winning Strategy To Implement AI Projects 
 

About the Authors

Chris Sayers

Chris Sayers

Senior Manager

Chris is a Senior Manager at Verdantix. His current research agenda targets enterprise AI integration and adoption, AI market trends and agentic AI. Chris joined Verdantix in …

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Bill Pennington

Bill Pennington

VP Research

Bill is VP Research at Verdantix, where he leads analysis on the evolving and interconnected landscapes of EHS, quality, AI and enterprise risk management. His research helps …

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