Most conversations about AI focus on what technology can do.
Far fewer focus on what happens when technology gets it wrong.
I’m excited to share that I will be leading a featured workshop at AIMST 2026 (AI Manufacturing & SCADA Technology Conference) in Atlanta this August.
🎤 Workshop:
Human Judgment in the Age of Industrial AI: Leading Safely in Manufacturing, SCADA, and OT Environments
As AI becomes embedded in manufacturing operations, industrial automation, critical infrastructure, and operational technology environments, leaders face a new challenge:
How do we harness AI’s potential without losing the human judgment that keeps operations safe, resilient, and accountable?
During this interactive executive workshop, we’ll explore:
✅ Industrial AI opportunities and ROI
✅ Human-in-the-loop decision making
✅ AI governance for manufacturing and OT environments
✅ Cybersecurity and operational risk considerations
✅ Building AI-ready organizations
✅ Practical frameworks for responsible AI adoption
The future of industrial AI isn’t about replacing human expertise.
It’s about ensuring people and intelligent systems work together to make better decisions.
If you’ll be attending AIMST 2026, I’d love to connect.
Thank you to the AIMST team for the opportunity.
#AIMST2026 #IndustrialAI #Manufacturing #SCADA #OperationalTechnology #Cybersecurity #ArtificialIntelligence #DigitalTransformation #Leadership #AIGovernance #Industry40 #SmartManufacturing
In today's rapidly evolving industrial landscape, integrating AI into manufacturing and operational technology (OT) isn't just about automation—it's about enhancing human decision-making. Having witnessed firsthand the transformative impact of AI-powered SCADA systems, I can attest that the blend of human judgment with AI technology is essential to sustain safety and reliability. One crucial aspect I've learned is the importance of human-in-the-loop (HITL) frameworks within AI deployment. HITL ensures that critical decisions are vetted by experienced specialists, mitigating risks from AI errors or unexpected scenarios. This approach is particularly vital in operational environments like manufacturing plants and critical infrastructure where unpredicted AI misjudgments could lead to costly or dangerous consequences. Additionally, AI governance tailored for industrial settings emerges as a key enabler. Establishing clear policies, audit trails, and accountability structures helps organizations maintain control and compliance while embracing AI's benefits. Cybersecurity also plays a pivotal role; protecting AI systems and OT networks from threats safeguards operational integrity. Building AI-ready organizations requires not just technology adoption but a cultural shift that values collaboration between humans and intelligent systems. Training leaders and teams to understand AI capabilities and limitations fosters trust and encourages innovative applications that improve ROI. Looking ahead, the most successful industrial AI implementations will be those that prioritize responsible adoption strategies. Practical frameworks that incorporate continuous monitoring, human oversight, and risk management are indispensable. The AIMST 2026 workshop is a timely forum to share these insights and prepare leaders for the challenges and opportunities that lie ahead in the age of industrial AI.
