Konrad Konarski

Chairman AI Applied consortium

Konrad Konarski is a pioneering force in the application of Artificial Intelligence, IoT, and emerging technologies, with a career spanning over two decades at the intersection of innovation, sustainability, and digital transformation. Widely regarded for his ability to translate complex technologies into real-world impact, Konrad has led some of the world’s most ambitious AI and IoT deployments across manufacturing, energy, life sciences, and smart infrastructure.

In 2025, he was honored with the IBM Sustainability Award for North America, recognizing his leadership in driving data-driven environmental innovation. As the architect behind numerous industry-first AI initiatives—including digital twin ecosystems, next-gen XR interfaces, and cognitive automation frameworks—Konrad is known for pushing the boundaries of what’s possible in enterprise AI adoption. He has served as a national keynote speaker, chaired transformative consortiums, and guided Fortune 500 executives and federal leaders on the future of intelligent systems. Whether launching global centers of excellence or spearheading breakthrough research in AI ethics and industrial intelligence, Konrad brings a rare blend of visionary leadership, hands-on technical depth, and an unwavering commitment to purposeful innovation.

Main Conference Day 1 - October 8, 2025

11:20 AM Panel Discussion: Using AI to Reduce Energy Usage and Emissions Output through Effective Continuous Monitoring and Predictive Maintenance

Generative AI (Gen AI) and multimodal AI have the potential to significantly reduce emissions and drive the efficiency of operational maintenance. This session will explore how to leverage AI to gain precise insights from continuous monitoring and drive quality inspections. 

  • How combining multimodal AI with Gen AI can deliver real-time insights from continuous monitoring 
  • Using heat maps to spot unnecessary energy usage and speed up necessary maintenance  
  • Using insights from continuous monitoring to automate inspections, reduce downtime and ultimately reduce emissions outputs