Before It Fails — Risk-Based Maintenance, IoT and Predictive Asset Intelligence
A fillable worksheet to score criticality and consequence, choose where sensors pay off and turn warnings into prioritized work. Complete it on screen, save it, print it or forward it to colleagues.
Session agenda
Before It Fails — Risk-Based Maintenance, IoT and Predictive Asset Intelligence. Sixty minutes, including a live demonstration and open Q&A.
Welcome and session framing
Why condition alone is a poor guide to priority, and what a risk-based maintenance program has to answer.
From reactive to predictive
The practical maturity path from complaint-driven and calendar-based maintenance to condition- and risk-based intervention.
Building the risk model
Combining condition, probability of failure, criticality, service impact, environmental exposure and consequence into a usable score.
IoT, sensors and alarm discipline
Choosing which assets justify remote monitoring and converting warnings into inspections and work orders without alarm fatigue.
Live demonstration: two assets compared
An outdoor infrastructure asset and a building system are scored side by side, through to recommended intervention and resulting work.
AI, governance and Q&A
Data quality required before predictive recommendations are trusted, who signs off, and open questions.
The series at a glance
Event 01 · Operate It
Closing the Loop
From Asset Intelligence to Work in the Field
How do we turn our connected asset environment into completed operational work?
Event 02 · Predict It
Before It Fails
Risk-Based Maintenance, IoT and Predictive Asset Intelligence
How do we identify which assets need attention before they fail?
Event 03 · Protect It
Service Continuity Under Pressure
Protecting Critical Infrastructure and Community Operations
How do we protect essential public services when assets and infrastructure systems are disrupted?
Event 04 · Invest In It
The Defensible Capital Plan
Turning Asset Risk into Funding and Renewal Decisions
How do we decide what to fund—and explain the consequences of not funding it?
01
02
Tick the information you can already assemble for a given asset.
Available inputs
03
04
05
Meet the presenters
Sessions pair Siemens asset-management specialists with local-government practitioners, so every framework in this guide is grounded in real municipal operations.
Jennifer Perkins
Government Solution Specialist
Asset Management Software | Siemens
Jennifer has over 25 years in state and local government and education as a practitioner, consultant and industry advisor. She rose to CIO at the City of Boston, leading infrastructure, operations, budgeting and ERP work, and now helps public agencies use asset management as a framework for cross-departmental collaboration and long-term financial planning.
Michael Murphy
Technical Program & Product Management
PMP | CDPO | CSM | SCPO
Asset Management Software | Siemens
Mike has spent over two decades at the intersection of geospatial data, technology and practical problem-solving — using GIS not just to store or display data, but to improve data quality, enable operational workflows and support better decisions across large asset portfolios.
Annie Anand
Business Process Manager
City of Fort Worth
An urban geographer and GIS professional with more than two decades of experience, Annie specializes in location intelligence and systems management across transportation, data analytics, infrastructure and asset management, making complex geospatial information accessible to planners, engineers and partner agencies.