Panelists:
Brie Minarik, Director of Training & Safety, HomeWorks Energy
Allan Preston, CSP MBA, Senior Director, Environmental, Health & Safety, ASRC Federal
David Payton, Vice President of EHS, TSC Construction
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Moderator:
Scott Gaddis, Vice President, Safety & Health, Intelex
The integration of artificial intelligence (AI), the Internet of Things (IoT), and predictive analytics is transforming workplace health and safety by enhancing risk detection, streamlining compliance, and enabling real-time hazard monitoring. However, EHS leaders must navigate the complexities of emerging technologies and strategically implement them to drive meaningful safety improvements.
This panel will explore cutting edge advancements in AI-driven risk management, wearable safety tech, and automation. Experts will discuss how organizations can effectively adopt and scale these technologies, the barriers to implementation, and the broader impact of digital transformation on workplace safety. Panellists will also examine the role of machine learning in predictive analytics, real time data collection for incident prevention, and automation’s potential to reduce human error in high risk environments.
Join this session and gain a deeper understanding of how digital transformation is reshaping the industry and equip yourself with some actionable strategies that will allow you to future proof your organizations through technology adoption.
Key Takeaways:
- Understanding how AI-powered algorithms can detect safety risks before incidents occur and improve proactive decision making.
- How real-time data collection and analytics can help organizations track safety performance, identify patterns, and make informed adjustments to safety protocols.
- Addressing key barriers such as cost, workforce adoption, and regulatory compliance when integrating new EHS technologies.
- Best practices for ensuring technology adoption aligns with organizational goals, employee training, and a strong safety-first mindset.
