Join us online on June 4, 2026 at 11:00am ET.

The federal government maintains the largest real property portfolio on earth, over 300,000 buildings and structures, yet deferred maintenance backlogs now exceed $370 billion. Aging HVAC systems fail without warning, elevator inspections are tracked on spreadsheets, and facility managers juggle disconnected systems for work orders, parts inventory, and compliance reporting. When assets break, agencies react. They rarely predict.

This reactive posture is expensive and dangerous. Unplanned downtime at a VA hospital delays veteran care. A failed generator at a border facility creates a security gap. The core problem is not negligence but fragmented data: condition assessments live in one system, maintenance history in another, and IoT sensor feeds in yet another. Without a single pane of glass, reliability engineering remains guesswork.

IBM Maximo Application Suite brings AI-powered predictive maintenance, IoT-enabled condition monitoring, and unified asset lifecycle management into a single FedRAMP-ready platform. Maximo’s forthcoming SaaS offering for federal environments eliminates the infrastructure burden of on-premises deployments while maintaining the compliance posture agencies require. With embedded AI models specifically designed for predictive maintenance that learn from historical failure patterns, Maximo shifts agencies from reactive break-fix cycles to condition-based maintenance strategies that extend asset life and reduce total cost of ownership.

Attendees will gain a hands-on understanding of how predictive maintenance reduces unplanned downtime by up to 50%, and how peer agencies are transforming their real property management from a liability into a strategic advantage.

Speakers:
- Kal Gyimesi, IBM Product Manager Asset Lifecycle Management
- Erin Horbach, IBM Real Estate and Facilities Management Sales Leader
- Michael Forristall, IBM Sustainability Software Sr. Sales Leader Federal Market