The statistics around AI pilot failures are staggering. AI has the potential to revolutionize field service, but only if your data and infrastructure are prepared to support it. Carlos Carnelos, Americas Delivery IT Transformation Executive, Lifecycle Services for IBM will discuss how “teaching AI well” starts with the right information architecture (IA): a connected, structured, and scalable foundation that allows machines to speak, systems to listen, and automation to act confidently. Using the example of IBM’s “go home” capability, which autonomously closes 90% of cases, find out how proactive insights, enriched workflows, and faster time-to-resolution depend on a thoughtful, well-built data ecosystem. Learn how to break down silos, prepare machines and sensors to communicate effectively, architect data that AI can actually use, and build an automation engine that grows more powerful over time. Take away insights to help you:

• Design the right information architecture (IA) so your systems can receive, process, and act on machine-generated insights at scale
• Break down data silos across business units to unlock visibility, centralize automation, and enable predictive and proactive service delivery
• Transform unstructured and siloed data into actionable intelligence that fuels dashboards, analytics, and AI-driven decision-making
• Empower your workforce by enriching the limited number of cases that go to humans with pre-analyzed data, enabling faster time-to-resolution