Digital Twins for Business Innovation: From Concept to Practice
Start Date
5 July 2025
Duration
Three Days
Fees
AED 1,500 – External Candidates
AED 1,000 – Current MDX Students and Alumni
Programme Leader
Dr Sreejith Balasubramanian
Programme overview
Digital Twins are virtual models that mirror physical objects, processes, or systems, revolutionising industries like manufacturing, logistics, healthcare, and construction. By leveraging AI, predictive analytics, and simulation, digital twins enhance operational efficiency, optimise processes, and improve decision-making.
This 3-day online programme is designed for professionals to explore how Digital Twin technology can drive digital transformation, from product optimisation to full-scale supply chain simulation. Participants will learn the fundamentals of Digital Twins, their types, and their business applications through real-world case studies. The programme includes hands-on sessions for building Digital Twins and introduces the future of Cognitive Twins powered by AI. By the end, participants will be ready to initiate Digital Twin projects and unlock their business potential.
Key outcomes of the programme include:
- Build a strong foundational understanding of digital twin technologies
- Understand the scope and applications of digital twins across various industries and functions
- Gain insights into the building blocks, enabling technologies, and implementation steps of digital twins
- Appraise the strategic and operational business value of digital twins, including cost-benefit and ROI analysis
- Design and build a digital twin using low-code or no-code solutions
- Explore the potential of NVIDIA Omniverse for developing immersive, photorealistic 3D digital twins
- Examine the AI-powered future of cognitive digital twins
Who is the programme suitable for?
- Business professionals
- IT managers
- Consultants
- Digital transformation leads
- Data scientists
Participants should have a basic understanding of business functions and operations and an interest in digital transformation. No prior programming or coding experience is required for this programme.
Programme Modules
- What is a Digital Twin? Definitions, history, and evolution
- How do Digital Twins work? Concepts, architecture, and lifecycle
- Types of Digital Twins and their use cases
- Model complex and dynamic real-world business scenarios
- Simulate operational scenarios using Discrete Event, Agent-Based, and System Dynamics simulation techniques
- Run predictive and prescriptive models to evaluate “what-if” scenarios
- Understand hardware requirements and real-time data integration
- Explore the role of IoT-enabled tracking and sensing technologies
- Introduction to cloud computing, data analytics, and digital infrastructure
- Familiarisation with key platforms: AnyLogic, anyLogistix, and NVIDIA Omniverse
- Review real-world case studies and success stories
- Identify low-cost implementation pathways for SMEs
- Analyse business use cases and ROI opportunities within your organisation or field
- Align Digital Twin initiatives with broader digital transformation and business strategy
- Prioritise pilot areas for implementation
- Identify and assess potential risks and implementation challenges
- Build functional Digital Twin models using low-code or no-code platforms
- Follow a live demonstration of Digital Twin Development
- Follow guided, hands-on steps to create your first Digital Twin model
- Develop an actionable roadmap for initiating or scaling Digital Twin initiatives, including data needs, platform selection, integration considerations, and cost-benefit analysis
- Explore the evolution from static virtual replicas to bi-directional, real-time, and closed-loop systems
- Understand the integration of AI in Digital Twin development to create Cognitive Digital Twins
- Learn the potential of immersive 3D environments with NVIDIA Omniverse for photorealistic Digital Twins
- Examine emerging policies, regulations, and ethical considerations in Digital Twin development
PROGRAMME DELIVERY
The programme will be delivered over 3 days online based on the following schedule:
- Saturday 05 July: 10.30AM - 4.30PM (GST)
- Sunday 06 July: 10.30AM - 4.30PM (GST)
- Monday 07 July: 6PM - 9PM (GST)
Who will I be taught by?
Dr Sreejith Balasubramanian
Associate Professor & Chair, Office of Research & Head, Centre for Supply Chain Excellence, MDX Dubai
Dr Sreejith is a recognised expert in digital transformation, business model innovation, disruptive technologies, and decarbonization. He currently leads a three-year Digital Twin project funded by the Dubai Future Foundation. He is also a core team member of a flagship project funded by the Thailand Research Foundation, focused on developing a "Net Zero Emission Execution Roadmap and Tools" for the Thai logistics sector.
Professor Roberto Revetria
University of Genoa
Professor Roberto is a globally recognised expert in applied modeling and simulation, with over 25 years of academic, research, and consulting experience across manufacturing, logistics, defense, and healthcare sectors. He currently serves as a Professor at the University of Genoa, where he leads the Simulation Team (Governance 4.0 DISPI Lab) and supervises numerous international projects in simulation-based decision support, digital twins, and AI-integrated modeling.
Michael Wagner
Chief Executive Officer and Managing Director of SyncTwin
Michael Wagner is the Chief Executive Officer and Managing Director of SyncTwin, a leading digital twin software company specializing in assembly and logistics planning. He also serves as the Chief Technology Officer at Ipolog GmbH, where he spearheads innovative technology solutions for industrial planning. Recognized as an NVIDIA Omniverse Ambassador, Michael is a pioneer in the development of intelligent digital twins. Notably, he created a digital twin of one of the world’s busiest factories, showcasing the power of immersive simulation and real-time collaboration, leveraging platforms such as Blender, Unreal Engine, and NVIDIA Omniverse. Michael is a published author of several articles on NVIDIA Omniverse and a sought-after keynote speaker. He is a passionate advocate for democratizing digital twin technologies, particularly to empower small and medium-sized enterprises (SMEs).
