About the Summit

From Digital Assets to Intelligent Infrastructure

Moving beyond what AI can do to where it can create measurable value across the asset lifecycle.

AI is changing how the built world is designed, delivered and operated. But the real opportunity is no longer simply understanding what AI can do. It's knowing where it can create measurable value.

Now in its 6th year, Digital Built World 2027 brings together the leaders shaping the next generation of digital engineering and asset operations. From design intelligence to operational intelligence, the summit explores the data, technologies and strategies moving the industry from digitally represented assets to genuinely intelligent infrastructure.

Attendees
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Speakers
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Exhibitors
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Roundtables
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Our Speakers

Dave Mackenzie

Group Director, Digital & AI, Aurecon

Alexandra Pollock

Senior Director CORE studio, Thornton Tomasetti, USA

Sean Young

Director, AECO, Geospatial, and AI Solutions, NVIDIA, USA

Chloe Williams

GM Digital and Intelligent Systems, Fulton Hogan, NZ

Andy Watts

Global Leader for Design Technology & Innovation, Woods Bagot

Dr Shakil Khan

Digital Transformation Data & AI Lead, VIDA

Catriona O’Neill

Regional Digital Practice Lead ANZ, Stantec

Ehab Bdawi

Digital Engineering Officer, SA Power Networks

Lili Chen

Network Digitalisation Tech Lead, Ausgrid

Kevin Hogan

Head of Design & Digital Engineering, Kapitol Group

The Systems Shaping the Next Generation of Infrastructure

01

Design & Digital Engineering

AI-Enabled Design
How AI is changing design, modelling, engineering workflows and decision-making.
Digital Engineering at Scale
Embedding BIM, digital engineering and connected workflows across complex projects and organisations.
Future Engineering Practice
Building the skills, systems and operating models required for AI-ready engineering teams.
Who Attends
Design & Digital Engineering
Digital Engineering Directors | BIM Leaders | Engineering Managers | Design Directors | Heads of Engineering | Project Directors | Technical Directors | Digital Delivery Leaders | Architects | Engineering Consultants
02

Data & Digital Foundations

Connected Asset Data
Breaking down fragmented project and asset information to create connected, usable data environments.
Machine-Readable Information
Structuring data so AI can interpret, connect and reason across engineering and operational systems.
Digital Twins & Information Management
Creating digital environments that remain useful from design and construction through to operations.
Who Attends
Data & Digital Foundations
Heads of Data | Information Managers | Digital Twin Leads | BIM Managers | Data Architects | Asset Information Managers | GIS Leaders | Technology Leaders | CIOs | CDOs
03

AI, Automation & Intelligent Systems

The AI Frontier
Understanding how generative AI, agents and emerging models are changing the built environment.
From Pilot to Scale
Moving AI initiatives beyond proofs of concept into repeatable, operational systems.
Intelligent Workflows
Using AI and automation to improve productivity, decisions, risk management and delivery.
Who Attends
AI & Intelligent Systems
Chief Digital Officers | Heads of AI | Innovation Directors | Transformation Leaders | Technology Directors | Automation Leads | Digital Strategy Leaders | CIOs | CTOs
04

Digital Delivery & Asset Handover

Connected Project Delivery
Linking design, engineering and construction information across the project lifecycle.
Productivity & Performance
Using digital systems, AI and automation to improve project controls, coordination and delivery outcomes.
Closing the Handover Gap
Ensuring project data becomes useful operational information rather than being lost at completion.
Who Attends
Delivery & Handover
Project Directors | Construction Technology Leaders | Digital Delivery Managers | Project Controls Leaders | Contractors | Major Projects Teams | Engineering Consultants | Asset Owners | Infrastructure Delivery Agencies
05

Asset Intelligence & Operations

Operational Intelligence
Moving beyond dashboards towards AI-supported and increasingly automated decision-making.
Smarter Asset Management
Using connected data, AI and digital twins to improve maintenance, reliability, resilience and lifecycle performance.
From Digital Asset to Intelligent Infrastructure
Connecting models, systems and live operational data to create assets that can continually inform better decisions.
Who Attends
Asset Intelligence & Operations
Asset Management Directors | Heads of Operations | Infrastructure Owners | Facilities Leaders | Maintenance Leaders | Reliability Managers | Network Operations Leaders | Asset Strategy Teams | Property & Infrastructure Operators

From digitally represented assets to genuinely intelligent infrastructure.

Summit at a Glance

How agentic AI and automation are redefining digital engineering, asset workflows and infrastructure delivery.

Day 1

Asset Data Foundations - Data, Design and Workflows

How do we turn project data into AI-ready information?

Day One explores how drawings, BIM, specifications and project records can become connected, machine-readable data, and how AI will reshape design, engineering and delivery.

The focus: building the data foundations, workflows and operating models needed to make that shift work in practice.

Data • Design • Workflows
Day 2

Transforming Asset Intelligence Programs for Asset Owners

How do asset owners turn data into action?

Day Two explores how AI, digital twins and operational systems are creating more intelligent assets, moving from passive data and dashboards to automated workflows and better operational decisions.

The focus: better performance, maintenance, safety and resilience across the asset lifecycle.

Intelligence • Operations • Outcomes
Networking Reception Exhibition Roundtables Lunches & Breaks Informal Meetings

What You'll Experience

Main Stage

Conference

The strategies shaping AI-ready engineering and intelligent infrastructure.

Hear from infrastructure owners, operators, engineering leaders and digital teams applying AI, automation, digital engineering and asset intelligence across the built environment.

Explore the systems and strategies connecting project data, engineering workflows and operational information across the asset lifecycle.

Real-World Applications

Industry Case Studies

See how digital strategies are being applied across real projects and assets.

Move beyond theory with practical examples from infrastructure owners, engineering organisations and delivery teams implementing AI, digital twins and connected data systems.

Understand what worked, where adoption stalled and what organisations learned while moving from pilots toward scalable digital capability.

Participate

Industry Roundtables

Work through the challenges standing between digital ambition and real adoption.

Join smaller interactive discussions tackling issues including AI-ready data, interoperability, digital handover, workflow automation, governance and scaling new technologies across complex organisations.

Compare approaches with peers and leave with practical insights you can apply inside your own organisation.

Discover

Exhibition

Explore the technology ecosystem enabling intelligent infrastructure.

Meet solution providers across AI and automation, digital engineering, BIM, digital twins, geospatial, asset intelligence, analytics and connected infrastructure.

Explore the platforms and capabilities organisations are using to connect data, workflows and operations.

Connect

Networking

Meet the people leading digital transformation across the built environment.

Connect with infrastructure owners, operators, digital engineering leaders, asset teams, CIOs, technology leaders, data specialists, engineering consultants and solution providers.

Build relationships across the teams shaping how infrastructure is designed, delivered, operated and continuously improved.

It’s so great to have the opportunity to meet such a broad range of AEC industry leaders and learn about their experiences implementing AI in practice. The AI presentations were just the right level of technical for the audience, and really impressive.

Sean Young

Director, AECO, Geospatial, and AI Solutions Industry Marketing, NVIDIA

I really appreciated all the conversations throughout the summit, always valuable to connect, challenge thinking, and share perspectives.

Adam Freer

Digital Delivery Manager, Water & Environment, Global, SMEC

A well-curated event that balances strategic vision with practical industry experience around digital engineering and AI.

Sina Yavari

Senior VDC Coordinator and 4D Lead, ACCIONA

The Digital Built World Summit was a valuable experience in understanding the cross section of industries facing similar challenges and finding different solutions. The event was effective in facilitating the sharing of ideas as well as peer to peer engagement and networking.

Blake Feehely

Transport Market Leader, Digital Services and Innovation - Australia, Stantec

DBW26 brought together some great industry thinkers who outlined clearly what they are achieving for their company. The central themes of data governance, standards and leadership were key to the Summit. DBW26 outlined the value that AI is starting to deliver for companies and the challenges that are being faced. Agentic AI is the next challenge. Looking forward to DBW27.

Andrew Curthoys

Chair, Australasian BIM Advisory Board

DBW profiled a dramatic shift in the mindset of the digital engineering industry – integrating AI processes – very refreshing and useful to our business

Andre Pereira

Digital Director, Taylor Thomson Whitting

DBW is a great event for networking and offers a diverse range of presentations covering construction, transportation and asset management – with DE and AI themes drawing the sectors together

Karandeep Singh Chadha

Infrastructure and Asset Management Strategist, and Task Force Chair, Transport, Smart City Council

DBW profiled the transition from theory to reality and showed the audience where our industry was at regarding integrating AI strategies. The mix of owners and clients made it especially useful

Steve Appleby

Chief Strategy Officer, IIMBE

DBW was a great show and had a good mix of industry representation including clients, designers and contractors. I also found the expo useful with relevant vendors sharing solutions to our work challenges.

Cameron Hyndman

National Digital Engineering Lead, Transport & Infrastructure, Downer, NZ

Digital Build World 2026 brought together the very best thinking from across the global construction and technology communities. The organisers delivered a world‑class event that was insightful, energising, and deeply relevant to the future of our industry.”

Joyal Jerry

Digital Engineering Lead, Fletcher Construction

Engaging, insightful presentations, dynamic panel conversations and thought-provoking roundtable discussions. Biggest takeaway was that embedding AI into digital delivery strategy is no longer optional it is critical to improving operational performance, driving sustainable growth and ensuring long term competitive advantage.

Gopakumar Chandrasekhar

CIO, CPB Contractors
Why Partner?

Meet the people shaping the Digital Built World.

Put your organisation in front of the leaders influencing how AI, digital engineering, data and technology are applied across the asset lifecycle.

Be Heard

Demonstrate Your Expertise

Position your organisation alongside the leaders tackling real challenges in AI, digital engineering, data and asset intelligence.

Lead

Lead a Critical Conversation

Take ownership of the conversations shaping AI adoption, digital workflows, connected data, automation and intelligent assets.

Influence

Influence Technology Decisions

Engage with digital engineering, innovation, technology and asset leaders as platforms, systems and future investment decisions are shaped.

Connect

Meet the Built Environment Market

Connect with asset owners, infrastructure organisations, engineering firms, contractors and digital leaders responsible for major projects and assets.

Demonstrate

Showcase Your Solutions

Put your technology, platforms and capability in front of the people responsible for evaluating, implementing and scaling them.

Build

Build Relationships Earlier

Build relationships across the asset lifecycle, from design and project delivery through to operations, maintenance and asset performance.

Where Do You Fit?

Partnership opportunities span the digital built environment ecosystem.

AI & Machine Learning Digital Engineering & BIM Digital Twins Asset Intelligence Data Platforms & Integration Reality Capture & Geospatial Construction Technology Design Technology Workflow Automation Project & Asset Management Platforms Common Data Environments IoT & Connected Assets Analytics & Visualisation Cloud & Infrastructure Cybersecurity & Governance
2nd-3rd March 2027

Conference Schedule

Day 1 | Tuesday, 2nd March 2027

PREPARING FOR AGENTIC AI

08:00

Conference registration & networking

09:00

FuturePlace Welcome

Roderic McLauchlan, Event Director, FuturePlace
09:05

Chair’s welcome

09:10

KEYNOTE: The human premium: When AI makes expertise cheap, who captures the value?

As AI compresses hours of engineering, design, documentation and analysis into minutes, the question for AEC firms is not simply what can be automated, but who captures the resulting capacity dividend. If the cost of producing intelligence collapses, what will clients continue to pay a premium for — and how should firms build, price and protect the expertise that makes AI-generated intelligence valuable?

  • When AI turns a 40-hour task into 10 hours, who captures the productivity gain?
  • If AI makes knowledge work measurable in tokens, what replaces time-based pricing?
  • When intelligence is cheap, will clients pay for context, judgement, and assurance?
Dave Mackenzie, Group Director, Digital & AI, Aurecon
09:30

PRESENTATION: The AI driven practice: Moving from BIM to AI-readable engineering models

BIM has given the industry digital models. AI now demands something more: structured, connected and machine-readable project information that can be understood, interrogated and acted upon. This session explores how major infrastructure projects are redesigning digital engineering workflows so AI can move beyond assisting people to actually performing parts of the delivery process.

  • Building information models that AI can reason with
  • Ensuring AI platforms turn disruption into advantage
  • Redesigning digital workflows so AI supports delivery
Alexandra Pollock, Senior Director CORE studio, Thornton Tomasetti, USA
09:50

PANEL DISCUSSION: AI agents: From enterprise experiment to supporting asset management in infrastructure

This panel explores how digital engineering, data platforms, automation and AI Agents are transforming the way infrastructure is designed, delivered and ultimately managed — and what happens to the sector when AI moves from assisting people to taking action itself.

  • Where are connected data and digital engineering delivering the greatest gains today?
  • How are we building data foundations needed for AI and intelligent asset management?
  • Ensuring trust in AI agents – What are the risk impacts for contractors and asset owners?
Panellists include:
Craig Dunningham, National Information Manager and DE Lead for Rail, Arcadis
Catriona O’Neill, Regional Digital Practice Lead ANZ, Stantec
Andy Watts, Global Leader for Design Technology & Innovation, Woods Bagot
Darren Hungerford, EGM, xDNA, Downer
Moderated by:
Shanoc Halliday, Senior Customer Success Manager APAC, Bluebeam
10:30

Networking break & exhibition viewing

WORKFLOW & OPERATIONS

11:10

INTERACTIVE ROUNDTABLES

These moderated roundtable sessions of up to 20 people are designed to bring together like-minded professionals to share real-world challenges, exchange ideas, and receive constructive feedback — all while fostering more meaningful connections and smarter networking. We feature two sessions per topic with a topic switch break at 30 minutes. Select from:

Roundtable 1: AI Ready: AI enabled asset information management
Chris Klafas, Manager Asset Modelling, Ausgrid
Roundtable 2: AI applications delivering efficiency gains in DE workflow
Randall Makin, Executive Director, Waterline Projects
Roundtable 3: From reality capture to asset intelligence
Ban Chee, Reality Capture Manager, Department of Transport Victoria
Roundtable 4: Who owns the agent? Data, liability and governance in the Age of AI
Chelsea Gordon, Lead Council AI Advisory, Minter Ellison
Roundtable 5: Redesigning the operating model for an AI-enabled organisation
Nafees Butt, Custodian Operating Model, AGL
ROUNDTABLE 6: When professional engineering expertise becomes an AI agent
Sean Young, Director, AECO, Geospatial, and AI Solutions, NVIDIA, USA
ROUNDTABLE 7: AI in architectural design: Redefining creativity, practice and value
Guido Rivai, Computational Design Lead, Mirvac
ROUNDTABLE 8: The data & AI risk audit: Who is watching the machine?
Todd Bowman, Technical Committee, AI Risk, Standards NZ
Justin Daly, Emerging Technologies Lead, Mornington Peninsula Shire
12:20

Networking lunch & exhibition viewing

MANAGING AGENTS

13:20

CASE STUDY: The AI-ready built world: Are your digital foundations fit for intelligence?

AI promises to transform design, delivery and asset management, but intelligence is only as good as the information it can access, understand and trust. This session examines whether the AEC industry has built the digital foundations needed for AI — connecting drawings, documents, models, markups, project data and human knowledge into an information environment where intelligence can actually operate.

  • The AI Readiness Test: Is your digital environment actually ready for AI?
  • The Data We Don’t Know: What intelligence is hiding in our project information?
  • Are we building an AI-native industry or simply digitising old workflows?
13:40

TECH TALK PANEL DISCUSSION: Closing the digital gap in built assets with innovations in construction technology

This panel brings together technology providers to explore practical, deployed solutions that are closing the digital gap between design, construction, and operations. The focus is on what is working now, what is scalable, and what is still blocking end-to-end digital continuity.

  • Solutions bridging fragmented data, disconnected tools, and inconsistent workflows
  • How platforms, AI, and integration layers are improving the path to deeper automation
  • How intelligent agents can move beyond simply assisting people to actively delivering
Panellists:
Harry Katsanevas, Executive Manager Civil, Aptella
Mike Kain, Lead Consultant, ARKANCE ANZ
Dave Timm, CEO, Green Marble AI
Moderated by:
Roderic McLauchlan, Event Director, FuturePlace
14:15

CASE STUDY: AI agents in the digital engineering team: From project data to intelligent delivery

AI agents are moving beyond individual software tools to become part of how engineering teams understand, coordinate and deliver complex projects. This session explores how domain-specific agents, simulation and systems thinking could reshape digital engineering — connecting project information, professional knowledge and AI-enabled decision-making across the infrastructure lifecycle.

  • From visualisation to intelligence — digital environments as decision tools
  • From tools to connected agents — agents working across project data and systems
  • From tasks to systems thinking — agents, simulation and human expertise
Andriy Mulyari, Founder and CEO, Nomic AI
14:35

PANEL DISCUSSION: AI agents: Delivery enablers and agents of change

AEC and infrastructure organisations are increasingly adopting AI through external platforms, models and managed services, but the strategic question is shifting from what can we use? to what should we actually own? This roundtable explores the trade-offs between building proprietary AI capability and renting intelligence from vendors, including control of data, IP, model performance, security, cost and long-term competitive advantage.

  • What should AECs actually own — data, models, agents or the entire AI stack?
  • When does renting AI make more sense than building it yourself?
  • How do we avoid becoming dependent on platforms that control our data and work
Theodoros Galanos, Generative Artificial Intelligence Leader, Aurecon
Vivian Dabre, AI Solutions Lead, BildGroup
Sean Young, Director, AECO, Geospatial, and AI Solutions, NVIDIA, USA
Moderator
Jérémie Henry, Director of Growth, Cupix Asia Pacific
15:10

Networking break & exhibition viewing

AI DELIVERY

15:40

CASE STUDY: From engineering drawings to AI-ready asset intelligence

Critical infrastructure organisations hold enormous amounts of engineering information, but much of it remains difficult to find, inconsistent or locked inside legacy drawing sets. This case study explores how AI can turn this “dark data” into trusted, structured engineering information that can support safer operations, maintenance and better asset decisions

  • Using AI to extract and structure information from large engineering drawing sets
  • Combining automated extraction with human verification, validation and audit trails
  • Making engineering information usable for search, analytics, automation and AI
Randall Makin, Executive Director, Waterline Projects
16:00

PANEL DISCUSSION: Digital delivery: Collaboration, strategic delivery and talent development

As digital delivery matures, the industry is under pressure to delivery machine-readable, operational data sets that can directly support AI operational asset management and performance. Yet most “handover BIM” still fails to transition into a usable digital model, breaking at the point of asset information quality, structure, and governance.

  • Moving from models created for humans to models created for intelligent systems
  • How to structure digital delivery so models evolve into live operational models
  • Bridging the gap between project delivery and asset operations through AI ready worlds
Panellists:
Chris Needham, Principal - Digital Technology, KBR
Kevin Hogan, Head of Design & Digital Engineering, Kapitol Group
David Lowe, Chief Commercial Officer, Pointerra
Christian Theis, Senior Digital Engineering Manager – Group, McConnell Dowell
Moderated by:
Adrien Patanè, Digital Construction & Technology Adoption Evangelist, Trimble
16:35

PANEL DISCUSSION Beyond the Twin: Generating, simulating and interacting with asset data in design

The digital twin is evolving from a model of what has been designed into an intelligent, dynamic environment for exploring what could be built. AI, computational design, simulation, visualisation and immersive spatial technologies are converging to let AECs generate, test and interact with infrastructure before it is built.

  • From modelling to machine-generated – using AI, simulation and computational design
  • Designing with intelligent systems – how architects are directing AI design processes
  • Using spatial technologies to explore, test and communicate complex decisions
Panellists
Hossein Rizeei, Principal Manager and Geospatial Lead, McGregor Coxall
Guido Rivai, Computational Design Lead, Mirvac
Leo Meng, Computational Design Leader, HDR Architecture
Christian Derix, Head of Innovation and Futures, COX
Moderated by:
Yatong Nie, Digital Engineering Manager, Gamuda Australia
17:10

Chair’s conclusions and networking drinks

18:00

Close of Day 1

Day 2 | Wednesday, 3rd March 2027

OPERATIONAL INTELLIGENCE

09:00

KEYNOTE: Chair’s opening remarks

Digital by default is no longer a vision – it’s a requirement. Jonathan will open the day by exploring how the sector can shift from pilots and policy aspirations to practical, scaled digital delivery.

David Jenkins, CEO, IPWEA
09:10

KEYNOTE: Reimagining the asset lifecycle: From design data to living engineering intelligence

The next shift in infrastructure will not simply be about applying AI to asset management — it will start much earlier, in the way assets are designed, engineered and delivered. As AI agents reshape engineering workflows, the data and knowledge created through design and delivery can become the foundation for intelligent operations, enabling organisations to reuse engineering intelligence across the asset lifecycle rather than continually recreating it.

  • From digital twin to living engineering environments
  • How AI is reshaping the role of the engineering function
  • Turning design and project data into lifecycle intelligence
Sean Young, Director, AECO, Geospatial, and AI Solutions, NVIDIA, USA
09:30

FIRESIDE: The autonomous project: Where AI takes delivery and operations

Digital engineering research is moving toward project delivery systems that can coordinate, optimise and adapt in real time. This keynote explores how AI-native workflows and autonomous agents are beginning to reshape how infrastructure and construction projects are planned and executed.

  • From project management to autonomous coordination systems driven by agentic AI
  • R&D in real-time optimisation across scheduling, cost, supply chain and site operations
  • Emerging model: Humans shift from execution to supervision and exception handling
Adrien Patanè, Digital Construction & Technology Adoption Evangelist, Trimble
09:50

PANEL DISCUSSION: Creating trusted data: Transforming foundation models to integrate asset intelligence

Digital and operational technology leaders are building the trusted data foundations, staff capabilities, governance and culture needed for AI driven asset data performance.

  • Solving data complexity and disconnected models is the next step
  • Examining AI platform’s role in solving data fragmentation and unifying insights
  • Scaling AI platforms with governance and strong executive leadership
Panellists include:
Kimberley Morrison, Director of Client Operations, Aurecon
Nidhi Sharma, National Digital Engineering Lead, KBR
Dr Xi Chen, Technical Lead Asset Modelling, Ausgrid
Maisara Al Rais, Digital Engineering Lead / BIM Manager, BESIX Watpac
Moderated by:
Ehab Bdawi, Digital Engineering Officer, SA Power Networks
10:30

Networking break & exhibition viewing

Digital by default is no longer a vision – it’s a requirement. Jonathan will open the day by exploring how the sector can shift from pilots and policy aspirations to practical, scaled digital delivery.

VALUE OPTIMISATION

10:30

CASE STUDY: From reality capture to asset intelligence: Creating a living digital record of the asset

This presentation explores how reality capture, spatial data and AI can create a continuously updated digital record of the physical asset — connecting what was designed and built with what actually exists, enabling asset owners to improve inspection, maintenance, handover and operational decision-making

  • Connecting reality capture, BIM and assetdata to create a trusted operational view
  • Using spatial intelligence and AI to identify changes, defects and maintenance needs

Moving beyond the handover model towards a living digital record that supports owners

11:10

CASE STUDY: Digital Twin & AI integration in mission critical avionics infrastructure

This session showcases how next-generation digital engineering, AI, and simulation technologies are transforming avionics and high-security aviation infrastructure. Lots of lessons for AECs. 

  • Designing unified technology and cybersecurity frameworks for mission-critical aviation infrastructure. 
  • Harnessing AI, IoT, and data platforms to boost efficiency, safety, and passenger experience. 
  • Embedding flexibility into digital models and twins to adapt to evolving technologies and aviation trends 
Philip Swadling, Technical Director, Avionics, Thales
11:30

PANEL DISCUSSION: Finding value from Applied AI: Setting up AI programmes and accessing business impact

AI programmes are moving beyond experimentation, but finding value requires more than selecting the right technology or launching successful pilots. This panel explores how organisations are identifying high-value opportunities, redesigning business processes and scaling AI across internal operations and client delivery. We explore what it takes to turn AI investment into measurable business outcomes.

  • Where is AI creating real value across internal operations and client services?
  • How is AI changing business processes, roles and ways of working?
  • What does it take to move from individual use case a large-scale rollout?
Panellists:
Sam Fielden, Group Head of Innovation Investment & AI, Beca, NZ
Andriy Mulyar, Founder & CEO, Nomic, USA
Chloe Williams, GM Digital and Intelligent Systems, Fulton Hogan, NZ
Moderated by:
Jess Page, Group Engineering AI and Automation Manager, WGA

AMBITION TO EXECUTION

12:00

CASE STUDY: Asset data to autonomous decisions: Applied AI in mining asset management

Mining is demonstrating what can happen when AI moves beyond experimentation and becomes embedded in the management and operation of complex physical assets. This case study explores how Rio Tinto is applying AI across asset data, predictive maintenance, asset performance and increasingly autonomous operations — and what the civil infrastructure sector can learn from mining’s experience.

  • Mining’s Next Frontier: Autonomous Decision-Making with Agentic AI
  • Applying AI to predict failures and optimise asset performance
  • Scaling AI from individual use cases towards autonomous operations
Kris Andrews, Lead – Asset Management Digital Transformation, Rio Tinto
12:20

Networking lunch & exhibition viewing

13:30

CASE STUDY: AI-ready assets: What happens when infrastructure becomes intelligent

As AI, automation and data increasingly converge with physical infrastructure, organisations are rethinking how complex assets are designed, managed and operated. This session explores how an AI-ready approach to asset data can improve operational performance, decision-making and the long-term intelligence of critical infrastructure.

  • Moving beyond data collection to create intelligent, decision-ready asset data
  • Using AI and automation to improve operational performance, reliability and asset
  • What AI-ready data centres can teach about the future of intelligent assets
Tai Hollingsbee, Technology and Communications Leader for APAC & EMEA, GHD
13:50

CASE STUDY: From AI experiment to operational capability: Building trusted AI for critical infrastructure

This utility has developed an AI proof of concept that automates repetitive elements of the complex process used to assess new renewable generators and large-load connections to electricity grid.

Sophie Holdstock, Executive Capability, ElectraNet
14:10

CASE STUDY: Data foundations to asset performance: What does Agentic AI actually need?

AI can only improve asset performance if the underlying data is accessible, trusted and connected to the decisions the organisation is trying to make. We explore what data foundations are actually required to move from AI experimentation to better operational decisions, productivity and whole-of-life asset outcomes.

  • Building trusted, connected data foundations for AI agents to model
  • Turning data into better operational and asset decisions based on lessons learned
  • Moving from AI experiments to measurable whole-of-life asset value – applications
Dr Shakil Khan, Digital Transformation Data & AI Lead, VIDA
14:30

CASE STUDY: Drone data to AI-powered asset intelligence: Scaling a drone-based asset program

Infrastructure organisations are increasingly using drones, computer vision and AI to transform how physical assets are inspected and maintained. This case study explores the practical implementation and scaling of a drone-based asset condition assessment program — from establishing the data and technology foundations through to deploying AI in real-world inspection workflows and turning captured information into actionable asset intelligence.

  • From inspection to intelligence —transforming how asset condition is captured
  • Scaling a real-world AI use case —moving beyond pilot to operational capability
  • Turning data into decisions — connecting AI-generated condition insights to work
Lili Chen, Network Digitalisation Tech Lead, Ausgrid
14:50

PANEL DISCUSSION: Asset journeys: From reality capture to inspections and autonomous maintenance

As asset owners move from computer vision and automated inspections towards predictive and agentic AI, the next question is whether AI can move beyond identifying defects to deciding what should happen next. This panel brings together asset managers at different stages of that journey to examine how AI can help but where human oversight still needed

  • Sharing the AI asset-management journeys and the human impact
  • When should AI recommend, decide or act and how should humans
  • What it takes to move from AI identifying problems to AI triggering action
Panellists:
Lisa Ippolito, AI Enablement Lead, Whitehorse City Council
Justin Daly, Emerging Technologies Lead, Mornington Peninsula Shire
Shane Scriven, Managing Director, SAS Asset Management
Moderated by:
Karandeep Chadha, NSW & ACT Chapter Lead, Smart Cities Council
15:20

Chair’s conclusions and end of Summit

2026 Partners

WHO SHOULD PARTNER?

Partner with us if your organisation supports the next generation of intelligent, connected and data-led infrastructure: ​

  • Digital engineering firms/consultants
  • BIM
  • Digital Twins
  • Cloud Computing
  • Internet of Things (IoT)
  • Artificial Intelligence (AI)
  • Robotics
  • Drones & UAVs
  • Geospatial Technologies
  • Advanced Imaging
  • Extended Reality (XR)
  • Simulation
  • CAD/CAM
  • Systems Integrators
  • Advanced Data Analytics

WHY ATTEND

Explore how AI, digital engineering, data, automation and connected asset intelligence are being applied across real infrastructure environments.

01

Learn what’s actually working

Hear directly from infrastructure owners, operators and digital leaders deploying:

AI across infrastructure operations

Digital twins at enterprise scale
Connected BIM, GIS & operational data ecosystems
Real-time asset intelligence platforms
Automation across infrastructure delivery and operations
02

Benchmark your strategy

Understand how leading organisations are:

Connecting fragmented infrastructure data
Scaling AI and digital engineering capability
Improving operational visibility across assets
Integrating BIM, GIS, IoT and operational systems
Building intelligent infrastructure ecosystems
03

Connect with your peers

Join a highly curated audience of:

CIOs & CTOs

Heads of Digital Engineering

Heads of Asset Management
GIS & Spatial Leaders
Heads of Data & Analytics
Infrastructure Operations Leaders
Smart Infrastructure & Innovation Leaders
04

Meet the right solution partners

Explore the latest solutions across:

AI & automation platforms
Digital twins & asset intelligence
Geospatial & GIS technologies
BIM & digital engineering tools
Cloud & connected infrastructure platforms
Operational analytics & IoT solutions
Real-time visualisation & simulation technologies

WHO ATTENDS

Join senior leaders and specialist teams working across infrastructure strategy, digital delivery, asset intelligence, technology and operations.

01

Infrastructure Owners & Operators

Government agencies Utilities Transport operators Asset owners Critical infrastructure organisations Infrastructure planning teams Asset optimisation leaders
02

Digital Engineering & BIM Leaders

Heads of Digital Engineering BIM & VDC Leaders Digital Delivery Managers Information Management Leads BIM Specialists Digital Asset Managers
03

Technology, Data & Innovation Leaders

CIOs / CTOs Chief Digital Officers Chief Data Officers Heads of Technology Digital Transformation Leaders Innovation & Smart Infrastructure Leaders AI & Automation Leads
04

GIS, Spatial & Operational Intelligence Teams

GIS & Spatial Leaders Geospatial Intelligence Specialists Data & Analytics Leaders Digital Twin Managers Operational Intelligence Teams Asset Intelligence Leaders
05

Infrastructure Delivery & Operations Teams

Infrastructure Delivery Leaders Asset Management Teams Operations & Maintenance Leaders Smart Infrastructure Teams Engineering & Project Delivery Teams Major Project Owners & Operators
06

Consultants, Engineering & Technology Providers

Engineering consultancies Systems integrators Digital advisory firms AI platforms Geospatial providers Infrastructure technology companies Built environment transformation partners

WHAT YOU'LL EXPLORE

A two day experience designed for maximum value

Day 1 — Strategy, Leadership & Intelligent Infrastructure

  • AI strategy for infrastructure & asset operations
  • Digital transformation across the built environment
  • Enterprise data & connected asset ecosystems
  • Smart infrastructure & operational intelligence
  • Technology investment & platform strategy
  • Geospatial intelligence & digital twins
  • Data governance, interoperability & cybersecurity
  • Leadership, capability & organisational transformation

Day 2 — Deployment, Operations & Delivery

  • Digital engineering & BIM at scale
  • AI deployment across infrastructure operations
  • Asset intelligence & lifecycle optimisation
  • Real-time operational data & analytics
  • GIS, spatial data & connected infrastructure systems
  • Automation & workflow optimisation
  • Digital twin implementation strategies
  • Real-world case studies & deployment lessons

Register Online Today

$1995 + GST

Silver Package
  • 2 day conference ticket

  • Access to all conference sessions and networking opportunities

  • Session recordings and presentation slides

REGISTER

$2490 + GST

Gold Package
  • 2 day conference ticket + 1 Post Summit Masterclass

  • Access to all conference sessions and networking opportunities

  • Session recordings and presentation slides

REGISTER

Why Become A Partner?

FuturePlace sponsorship plans provide you with a unique opportunity to build your brand and influence key power players.

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Thought Leadership Presentations

Establish pre-eminence amongst your peers

Branding And Signage

Multiple opportunities exist before, during and after the event

Roundtable Hosting

Lead a roundtable of industry professionals in this powerful, interactive format

Networking

Impress the world with your team and hospitality

Lead Generation

New business opportunities from a highly targeted audience

Showcase

The exhibition is the place to showcase and build new business connections

Who Should Partner?

Workplace strategy & experience

  • Tenant experience platforms
  • Workplace management solutions
  • Desk and meeting room booking
  • Workplace/resource scheduling
  • Space utilisation
  • Contactless
  • AR/VR

Architecture, design, planning & consulting

  • Design & build
  • Interior design
  • Reconfiguration
  • Fit out

Distributed workforce tools/technologies

  • Digital employee experience platforms
  • Collaboration & networking tools
  • File sharing tools
  • Messaging tools
  • CRM
  • Videoconferencing
  • Cybersecurity

Space & service providers

  • Landlords
  • Agencies/Brokers
  • Tenant reps
  • Consultants
Getting there

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