2025 Agenda

• Exploring steps to ensure systems and teams are ready for digitalisation  

• Implementing best practices to prepare infrastructure and the workforce  

• Preparing & conducting readiness assessments for smooth transitions  

• What are common barriers organisations face when initiating the digitalisation of existing assets, and what strategies have proven effective in overcoming them? 

• How can data governance and integration be managed effectively when dealing with legacy systems? 

• What role does leadership play in driving cultural change towards successful digitalisation? 

• How can organisations measure the ROI of digitalising assets, and what key metrics should they focus on? 

• Identifying key factors when selecting digital solutions for your organisation  

• Exploring decision-making criteria for software that aligns with goals  

• Understanding the importance of user requirements and integration  

• Examining the benefits and trade-offs of internal versus external solutions  

• Delving into industry perspectives on cost, expertise, and scalability factors  

• Ensuring alignment between chosen solutions and organisational goals, including adaptability to future technologies 

• Aligning digital initiatives with business objectives  

• Measuring digitalisation's impact on business performance  

• Driving ROI through aligned digital transformation efforts  

• Simplifying compliance by automating environmental data collection and reporting

• Increasing transparency with real-time sustainability metrics for stakeholders  

• Strengthening ESG performance tracking and reporting accuracy with integrated digital tools

• Identifying the essential metrics to track progress and evaluate digitalisation success 

• Utilising practical approaches to assess ROI in complex digitalisation projects 

• Aligning transformation metrics with strategic business objectives 

• Prioritising digital projects based on value and feasibility  

• Developing frameworks to assess digitalisation needs and potential solutions 

• Strategies to identify the most high-impact initiatives  

• Best practices and processes for efficient data collection and interpretation  

• Developing techniques to turn raw data into valuable insights  

• Leveraging the power of clear data presentation to assist in effective decision making  

• Automating the movement of data across systems to drive operational improvements 

• Exploring practical examples of automated workflows that enable seamless data-driven decision-making in digitalised asset management 

• Ensuring data integrity during automated transfers to improve reliability of insights 

• Utilising methods to ensure data quality amid vast information sources  

• Filtering out noise and focusing on actionable data  

• Establishing criteria for defining and measuring data quality 

• Conducting data audits to detect and eliminate unreliable or redundant data 

• Ensuring digital twins accurately reflect physical assets, including data integration from sensors, IoT devices, and CAD models  

• Incorporating real-time data into digital twins  

• Building digital twins that can scale across multiple assets and integrate with other systems for seamless information flow  

• Utilising predictive maintenance techniques powered by data and technology  

• Enhancing monitoring capabilities with real-time asset health insights  

• Unlocking strategies to schedule proactive maintenance efficiently  

• Utilising AI-driven solutions to enhance digitalisation and asset management projects 

• Identifying practical use cases for AI within your organisation  

• Implementing AI tools effectively, ensuring alignment with organisational goals and operational efficiency 

Learn how the Victorian Health Building Authority (VHBA) has reached a significant milestone with the development of its Digital Engineering Framework, set for deployment across all projects from 2025. By establishing a clear baseline for asset information, the framework supports health agencies in building their digital asset maturity, providing a structured approach for those unsure where to begin.  

• Exploring the potential of AI and sensor data in assessing bridge conditions and planning interventions

• Examining the role of connected technologies in enhancing real-time insights

• Considering new approaches to structural assessment and defect detection

• How can engineers, digital specialists, technical experts and business leaders bridge disciplines to foster collaboration and achieve impactful asset digitalisation outcomes? 

• What strategies work to break down silos, build trust, and enhance communication across diverse teams? 

• What leadership and adaptability skills do engineers and technical experts need to successfully lead transformation initiatives? 

• Examining the evolving role of engineers in asset digitalisation 

• Supporting your workforce by developing the skills and competencies needed for engineers in the digital age  

• Addressing challenges engineers face when navigating the intersection of technology and traditional practices  

• Developing digital competencies within teams to meet challengers of asset digitalisation 

• Fostering a culture of continuous learning and development 

• Best practices to upskill your workforce for sustained digital transformation  

• Examining workforce resistance, opportunity, and inclusivity in asset digitalisation  

• Exploring the latest trends shaping digitalisation in asset management  

• Utilising digital tools to enhance asset productivity, efficiency, and resilience  

• Gain insights into the future roadmap for digital asset management  

• How will emerging technologies like AI, IoT, and predictive analytics shape the next decade of asset management? 

• What strategies will help create resilient, adaptable frameworks to address future challenges and disruptions? 

• What cross-industry insights and collaborative innovations can inspire long-term success?