Field service is at a tipping point. As asset complexity rises and customer expectations accelerate, traditional service models—built on reactive fixes and siloed data—are no longer fit for purpose. This session explores how organizations can transform field service into a proactive, intelligence-driven operation by harnessing AI, digital twins, predictive insights, and rugged edge devices. By connecting data across assets, technicians, and supply chains, service leaders can anticipate failures, optimize performance in real time, and empower frontline teams with the tools they need to resolve issues faster—often before the customer is even aware. Join this session to discover how to move beyond incremental improvements and build a fully integrated, data-driven service ecosystem that drives efficiency, enhances customer experience, and unlocks new levels of profitability.

• Turn data into a competitive advantage by unifying fragmented service data across assets, technicians, and operations to enable faster, smarter, and more proactive decision-making
• Unlock real-time visibility with digital twins to provide continuous insight into performance, enabling remote diagnostics, scenario simulation, and reduced site visits
• Shift from scheduled to predictive maintenance with AI-driven insights that anticipate failures before they occur, reducing downtime, lowering costs, and improving SLA performance
• Eliminate inventory guesswork through the use of real-time data and predictive signals that enable intelligent parts replenishment, ensuring the right parts are available at the right time
• Empower technicians with AI-enabled edge devices, including rugged, intelligent laptops and tablets that enhance productivity in harsh environments with offline capabilities, real-time guidance, and automated workflows