Paul R. Casto

As the energy sector faces mounting pressure to improve efficiency, reduce emissions, and extend asset life, Intelligent Asset Management (IAM) has become a strategic imperative. But building a successful IAM program requires more than just technology—it demands a clear vision, cross-functional alignment, and a structured approach to execution. This workshop provides a practical roadmap for designing and scaling an IAM strategy that delivers measurable impact today while preparing your organization for tomorrow. 

Attendees will gain practical insights into how to: 

• Start with the “why” by aligning IAM efforts to specific business outcomes. Initiatives often stall when goals are vague or disconnected from operational realities 
• Select meaningful metrics like OEE, MTBF, maintenance cost, carbon footprint, and digital maturity, and why misaligned KPIs can lead to misdirected efforts 
• Conduct a structured audit of their existing capabilities to identify gaps and opportunities 
• Unify and contextualize asset data to support smarter decisions, and why poor data quality and fragmented ownership often slow progress. 
• Identify, rank, and sequence initiatives that deliver early wins and long-term value 
• Understand what to look for in IAM solutions and vendors and how to avoid common pitfalls like vendor lock-in or misaligned capabilities. 
• Train teams in data literacy, remote tools, and AI to overcoming resistance and low digital fluency 
• Embed security and regulatory considerations into your IAM architecture as data volumes and connectivity increase. 
• Move from pilot to enterprise scale, sustain momentum, and continuously evolve your IAM strategy in response to changing business needs. 

Whether you're just beginning to define your IAM vision, or looking to scale an existing program, this session will equip you with a structured, actionable approach to building a resilient, future-ready asset management strategy. 

The fourth industrial revolution—Industry 4.0—is transforming the landscape of asset management and reliability engineering. This presentation explores how digital transformation is reshaping predictive maintenance through the integration of advanced data analytics and digital twin technology.

Attendees will gain insights into:

• Digitization of Reliability Work Processes: How organizations are streamlining and enhancing reliability practices through digital tools.
• Integration of Diverse Data Sources: Leveraging data from multiple platforms to create a unified, real-time view of asset health.
• Dynamic Risk Assessment: Using predictive analytics to continuously update the risk of failure for critical equipment.
• Proactive Maintenance Strategies: Enabling timely interventions that reduce unplanned downtime and extend asset life.
• Sustainable Competitive Advantage: How data-driven reliability supports long-term operational efficiency and global competitiveness.

As organizations navigate the complexities of the digital era, embracing predictive maintenance powered by digital twins is no longer optional—it’s essential. This session will provide practical guidance and strategic insights for reliability professionals looking to harness the full potential of Industry 4.0.