David Hartley

• What high-performing teams are doing differently to scale AI
• How to avoid the common missteps that slow impact
• Proven tactics for adoption, alignment, and showing measurable results

If you're building your 2026 service AI roadmap, this is the playbook innovative leaders are already using.

This fireside chat explores how service leaders can connect machine learning, IoT data, and advanced analytics to shift from reactive to proactive service models. Learn how top performing organizations are integrating predictive intelligence into service operations to gain visibility, optimize scheduling, and extend asset life while staying compliant in a regulated environment. They’ll also be sharing the financial impacts of shifting to a predictive service model.

• Implement data driven strategies to detect early warning signs and prevent unplanned equipment failures
• Operationalize machine learning models within your existing service workflows to drive efficiency and consistency
• Accelerate service transformation by aligning predictive capabilities with compliance, safety, and uptime goals

In a healthcare environment where uptime and responsiveness are critical, predictive technologies are revolutionizing how service teams operate. In this session, Dave Hartley, Vice President of Customer Care at Translogic, shares how his organization is leveraging tools like IoT, AI, and advanced analytics to shift from reactive service models to proactive, intelligent support.

• Utilizing predictive tools to anticipate service needs and prevent failures
• Applying strategies for integrating remote intelligence into existing workflows
• Uncovering operational and financial benefits of proactive service models