• Increasing efficiency, safety, and quality with Digital Engineering
• Not just a 3D model: Comprehending the processes and analysis that informs DE
• Cutting through the bells and whistles to the true value of Digital Engineering
• Isolating and activating the most useful information in the model

• Boost your potential client base and future-proof your business by committing to DE
• Quantifying the value of Digital Engineering in terms of savings and increased business
• Determining how initial costs and long-term savings should affect different stakeholders

• Communicating the value-add of DE to the C-Suite and board in language they understand
• Ensuring the entire organisation understands the purpose of digital engineering
• Committing to a holistic adoption of Digital Engineering:
o Long term benefits against short term thinking
o Upskilling staff and self-performing
• Understanding and overcoming pockets of resistance:
o Fear of change
o Perceived extra work
o Changing workflows

• Overcoming common client misconceptions about Digital Engineering
• Ensuring consultants represent digital offerings simply, accurately and attractively
• Communicating the benefits of BIM throughout the asset lifecycle
• Working with the client to determine expectations and formats for asset data

• The cases for and against mandates in Australia
• Overcoming the capability hurdles of new technology adoption
• How all stakeholders need to work together to integrate and maintain models

• Is the industry making itself vulnerable to disruption?
• Will DE fuel the race to the bottom?
o The rise of the prosumer
o More of the same is just one way to grow
• Is DE innovation, or just incremental change?

• Do we need to formalise Digital Engineering as a qualification?
• What are the arguments for and against a licence to practice DE?
• What is the best approach for training delivery and standardisation?
• What should organisations do, and how should universities evolve?
• Is there an “age gap” in technical proficiency?
• Is digital training an add-on to traditional engineering training?
Kerry London, Deputy Dean, Professor Built Environment & Urban Transformation, Western Sydney University
Bill East, Creator of COBie/Director, The COBie Academy, The University of Florida (USA)
Mat Stoddart, Development Manager, The GPT Group

• Using DE to leverage a wider digital transformation in your organisation
• Optimising data flow between organisational silos
• Updating, integrating and transitioning legacy systems

• Addressing the need to deliver asset data as distinct from geometric information
• The importance of a non-proprietary data format for a changing industry
• Lessons learned during the development of COBie

• How digital engineering can be used to support traditionally 2D processes
• Lessons learned while cutting a new path in digital engineering
• Update on plan requirements for infrastructure projects
• Areas where the industry needs to improve to support owner-operator projects

• The future of BIM is not BIM: How digital engineering is revolutionising asset services
• Enhance client relationships by prioritising asset handover in the DE process
• Ensuring operations and maintenance needs are met at asset handover

• Driving an industry-standard exchange data format and methodology
• Ensuring the client is clear about what formats they need, and delivering them
• The advantages of being “software agnostic” by supporting openBIM

• Navigating the myriad applications of data for the profit of the organisation
• Connecting data streams and creating a central source of data truth
• Best-practice data governance, integration and cleansing

• Driving digital collaboration in the construction industry
• Pinpointing which innovative technologies are best suited for collaboration:
o Robotics
o Building Information Modelling
o Lean construction
o Offsite manufacturing
• Ensuring that the industry is on-board and ready for digital collaboration

• Utilising GIS for infrastructure projects through interface with BIM
• Engaging a wider audience by exposing information from the BIM model with GIS
• Ensuring the right data is conveyed and avoiding data overload