Digital Twin Consortium® executes on the promise of digital twins and associated technologies by working closely with our members to accelerate the market. We do this by fostering development, raising awareness, increasing adoption, and improving the interoperability of digital engineering projects propelled by digital twins. DTC is a program of Object Management Group®. For more information, please visit digitaltwinconsortium.org.

This presentation introduces an innovative AI-driven, self-learning smart-heating digital twin solution designed to reduce the carbon footprint of existing buildings. 

Unlike traditional efficiency strategies, this edge-native approach leverages reality gamification and collaborative strategies to optimize building performance. Recently published in the DTC Technology Showcase, the solution integrates BIM models, wireless sensors, and actuators with game engine technology to create an immersive, real-time collaboration arena for stakeholders.

WHAT WILL BE COVERED

1. Edge-native digital twin strategies for existing buildings
2. AI-driven predictions and automated actuation for carbon footprint reduction
3. Reality gamification for enhanced stakeholder collaboration
4. Integration of real-time data with business applications and decision-making processes

Nicolas will discuss practical applications of this technology in the real estate sector, demonstrating how it enhances energy efficiency, reduces maintenance costs, and improves overall building performance. 

The presentation will highlight how this approach achieves up to 25% energy savings and significant cost and time savings. The presentation will conclude with a demonstration of the solution's ability to transform building operations through intelligent automation and continuous optimization.

WHO SHOULD ATTEND
• Real estate owners, managers, and developers interested in innovative solutions for reducing the carbon footprint of existing buildings.
• Technologists and business executives across industries committed to digital twins and seeking to improve operational efficiency in building management.
• Sustainability professionals looking for advanced technologies to meet climate goals and promote sustainable development practices.
• Anyone interested in the practical applications of digital engineering, digital twins, 3D modeling, and simulation in the built environment.

Self-Learning Digital Twins for Smart Heating

This presentation introduces Multi-Agent Generative Systems (MAGS), an advanced AI-driven platform that integrates multiple software agents with large language models to optimize industrial processes. Unlike traditional multi-agent systems, MAGS agents can reason, collaborate, and adapt to complex environments.
 
Pieter van Schalkwyk will explore how MAGS agents observe their environment, reflect on past experiences, plan actions, and execute tasks. The presentation will highlight the crucial role of digital twins in providing a real-time proxy for physical assets, enabling continuous monitoring and simulation.

WHAT WILL BE COVERED
 
We will investigate the unique aspects of MAGS, including:
1.      Advanced reasoning capabilities
2.      Collaborative problem-solving among agents
3.      Adaptive decision-making in dynamic environments
4.      Integration with real-time data and business applications
 
We will discuss practical applications of MAGS in various industries and demonstrate how it enhances efficiency, safety, and decision-making in complex operational settings.
 
The presentation will conclude with a live demonstration of MAGS managing an industrial business process using digital twins, showcasing its potential to transform operations through intelligent automation and continuous optimization.

WHO SHOULD ATTEND

• Technologists and business executives across industries, committed to digital twins and taking their operational efficiency to the next level.
• Technologists and business executives interested in learning more about digital twins of real world implementations, digital engineering, 3d modeling and simulation, and how they realize value.
• Anyone interested in digital engineering or digital twins.

Multi-Agent Generative Systems in Industrial Applications

Join us for a timely presentation focusing on the pivotal role of geolocation and spatial analytics in the development and optimization of digital twins. 

Geolocation is the process of pinpointing physical location, providing the raw data that spatial analytics systems process to create models and generate insights. These insights help make Architecture-Engineering-Construction (AEC) operations more efficient by optimizing site selection, improving design accuracy, and enhancing project management.

In this webinar, our experts will explore how these capabilities enhance the accuracy, efficiency, and value of digital twin implementations across various built infrastructure projects.

What will be covered 

Mark and Dan will highlight key insights on geolocation and spatial analytics, offering attendees a comprehensive understanding of the current landscape, future trends and critical considerations to create, manage and utilize location-enabled digital twins. You will learn about the latest advancements, practical applications, and best practices for leveraging spatial data to drive digital twin innovation and operational excellence.

Don’t miss this opportunity to gain valuable insights, engage with industry leaders, and stay ahead of the curve in the rapidly evolving field of digital twins.

Who should attend

- Technologists and business executives in the Architecture, Engineering, Construction and Operations fields.
- Technologists and business executives across industries, committed to taking their operational efficiency to the next level.
- Anyone interested in learning more about digital twins of real world implementations, GIS, Geolocation, Spatial Analytics, and how they realize value.
- Anyone interested in learning more about digital transformation or digital twins.

The Critical Role of GIS, Geolocation, and Spatial Analytics for Digital Twins

Montesquieu, a man of letters, said: "the better is the mortal enemy of the good." The Pareto Principle employs the proverb numerically as the 80/20 rule. Applied to engineering, we typically strive to achieve the majority of the outcome with the smallest amount of effort. We try not to waste time and profitability on needlessly improving a design that’s already good.

At some point, however, good becomes not good enough. The digital twin, for example, helps us understand and measure the present. Simulation coupled with the virtual twin experience adds additional perspective.  

WHAT WILL BE COVERED 

The webinar will show how the virtual twin experience can be applied to tackle sustainability challenges. Looking at industrial application examples, Dr. Luzzato will show what is “good enough” today, while providing a glimpse of what will be achievable in the near future. 

Dr. Luzzato will walk through the virtual twin experience, starting with designing a 3d model that represents the shape, dimensions and properties of an industrial system. Simulations can be run on that virtual model to explore how the system will behave when assembled, operated, or subjected to a range of events.

He will look at how the virtual twin experience enables technologists to visualize, model and simulate an entire environment. This facilitates sustainable business innovation throughout the product lifecycle. 
  
WHO SHOULD ATTEND

• Technologists and business executives across industries, committed to sustainability and taking their operational efficiency to the next level.
• Technologists and business executives interested in learning more about digital twins of real world implementations, virtual twins, 3d simulation, and how they realize value.
• Anyone interested in digital transformation or digital twins.

Enabling a More Sustainable Future Through Virtual Twins

An airport ecosystem operates through an intricate web of interconnected systems, spanning business and operational systems. As the complexity has increased, resources are being drained and costs are skyrocketing. Traditional methods of optimizing individual systems are no longer adequate. 

Digital twins have been introduced into the ecosystem to improve operational efficiency and reduce waste. Today, digital twins are driving positive outcomes across business silos, from infrastructure management and terminal operations to regulatory compliance and fiscal management. 

In this webinar, our panel of airport operations experts and digital twin technologists will engage in a discussion on how digital twins are proving real-world value. They will look at areas such as airport master planning, airside operations, passenger experience, safety/security, and emergency response. 

What will be covered 

- An introduction to digital twins and decision intelligence 

- Key insights from a comprehensive survey of airport owner/operators and consultants 

- A system of systems approach to value creation 

Who should attend 

- Technologists and business executives in transportation and customer services industries, interested in taking their operational efficiency to the next level. 

- Technologists and business executives interested in learning more about digital twins, real-world implementations, and how they realize value. 

- Anyone interested in airport operations, transportation technology, digital transformation, or digital twins. 

Presented by 

Doug Migliori, Event Driven Systems (moderator) 
Isaac Benzaquen, Dassault Systèmes 
Kelly Watt, Digital Twin Consulting
Mike LaFontaine Orange County Public Works/SNA Airport

The Business Value of Digital Twins for Airport Operations

Digital transformation is driving and defining today’s pharmaceutical industry. It provides a
disruptive and transformative roadmap across multiple disciplines and market sub-sectors. However, reaching the lofty goals promised by transformation means aligning the industry with a new set of principles.

The FDA, in concert with the industry, has begun work on establishing a digital transformation framework for pharma. The framework is consistent with extrapolating Industry 4.0 into manufacturing and operations. 

In this presentation, Eli Lilly’s Doug Kiehl will illustrate how his organization is leveraging the FDA framework and cross-collaborative industry partnerships to make strides toward achieving their transformation goals. This work has helped Doug’s team optimize production through digital manufacturing operations and augment the current workforce through automation.

What will be covered:
Doug will discuss methods to attain the goals of more expedient operations, product development, advanced manufacturing, supply chain, and lifecycle management. He will explore three key enablers for advanced manufacturing in pharma: 

1. The FDA’s FRAME (Framework for Regulatory Advanced Manufacturing Evaluation) initiative,
2. Digital twins, and 
3. Cross-collaborative partnerships.

 Who should attend: 
• Technologists and business executives in pharma R&D and manufacturing, interested in taking their operational efficiency to the next level.
• Technologists and business executives interested in learning more about digital twins, real-world implementations, and how they realize value. 
• Anyone interested in pharma manufacturing, digital transformation, or digital twins.

Enabling Digital Transformation in Pharma with Cross-Collaborative Partnerships

The challenges for process manufacturing industries have never been more formidable. In the biopharma world, costly developments such as shifting drug prices, healthcare mandates, regulatory requirements, and demands for consumer customization, have compelled manufacturers to reinvest in their operations and processes.  

Modular manufacturing is a key advancement that has emerged as a result. This technique allows process manufacturers to produce a variety of products from a single facility with faster changeovers, increased flexibility, and improved overall equipment effectiveness. The technology at the foundation of this breakthrough is Virtual Twin as a Service. 

What will be covered: 

In this webinar presentation, Dassault Systèmes’ Guillaume Kerboul examines how Virtual Twin as a Service is reducing time to market and enhancing operational efficiency in biomanufacturing processes and recipes. Guillaume will look at: 
 
Use cases for breaking down manufacturing facilities into functional building blocks or modules to create their twin in the virtual world.  

How virtual twins of buildings, equipment, and single-use kits help manufacturing organizations implement modular manufacturing. 

Opportunities to realize value from virtual twins, including re-using designs, accelerating operator training, and simplifying processes such as qualification and validation.  

How virtual twins will ultimately achieve more sustainable drug manufacturing. 
 
Who should attend:  

Technologists, business executives and CDMOs in pharma R&D and manufacturing, interested in taking their operational efficiency to the next level. 

Technologists and business executives who are interested in learning more about digital twins and virtual twins, real-world implementations, and how they realize value.  

Anyone interested in pharma manufacturing, digital transformation, or digital twins.

How Virtual Twin as a Service Accelerates Modular Biopharma Manufacturing

The Digital Twin Consortium’s Technology Showcase features a new public safety use case, designed to provide comprehensive safety intelligence to save people in panic during shooting incidents. This webinar will delve into the use case in detail and show how it ensures safety while minimizing damage and fatalities. 

The Digital Twins for Public Safety use case is based on the Intelevac AIoT platform developed by safety intelligence solution provider Corners Global, where Linda leads the BD team. She hopes to be part of a digital era that can make a difference and make the world a better place to live. 

What will be covered: 

- Digital twins are leveraged to provide the best escape routes and safe places. More specifically, the use case provides the three Ds of intelligence: 1) Detect the gun shot, 2) Determine the best courses of action, and 3) Direct people to safety.  
- Digital transformation plays a crucial part in the use case, as it incorporates digital twin and AI in multiple aspects of the solution
- Developing location analytics algorithms for shooter location identification, 
- Relaying 3D visualizations of target facilities to emergency response teams, and 
- Building 3D simulations for realistic safety training opportunities.  

Who should attend:  

- Technologists and business executives in building or premises security and public safety. 
- Technologists and business executives interested in learning more about digital twins, real-world implementations, and how they realize value.  
- Anyone interested in digital transformation and digital twins.

How Digital Twins Enable Evacuations During Active Shooter Incidents

Join us on December 15 for a live webinar that unravels the Gen AI revolution, a game-changer in technological history. While offering unprecedented benefits across various industries, it also raises critical questions about trust, ethics, and the potential for unintended consequences.

Explore the transformative power of Generative Artificial Intelligence and the challenges it presents. We'll delve into the distinction between impressive AI capabilities and true intelligence, addressing concerns related to accuracy, bias, and ethical outputs. The development of Key Performance Indicators (KPIs) will be highlighted, focusing on ensuring the trustworthiness of AI systems.

Navigate the evolving landscape of regulations, industry guidelines, and governmental efforts worldwide. Understand how Gen AI is poised to reshape communication, creative, financial, legal, manufacturing, medical, and science & technology sectors. Concluding with a forward-looking perspective, we'll discuss the impact on the workforce, intellectual property, and the need for a shift in cognitive approaches. Join us for an insightful exploration into the future, balancing the promises and challenges of Generative AI. Reserve your spot now for an engaging discussion on responsibly navigating this revolutionary technological landscape.

Generative AI and Sustainability

In our previous webinar on Responsible Generative Artificial Intelligence, participants voted overwhelmingly in favor of increased regulation surrounding creating and deploying Generative AI systems. 

The European Union has been the first to propose regulation. The UK is looking towards a pro-innovation form of regulation, with the US securing voluntary commitments from leading AI companies. 

Intellectual property is a significant concern, as well as risks to the public, in the areas of bias, privacy, and trustworthiness. 

On October 4, John Easton of IBM will discuss the potential implications of these emerging regulations, intellectual property concerns, and the role of AI ethics. Cheranellore Vasudevan will provide an overview of the upcoming Responsible Generative Artificial Intelligence White Paper.

A Responsible Approach to Regulating Generative Artificial Intelligence

Lucile and Stephane motivate you to see IT differently in this thought-provoking presentation. Starting by introducing responsible computing and green IT, they move on to show what makes a typical web page, what happens with the processing, and why many parts can be removed, saving energy, costs, and improving user retention, which is linked together.

How to Spot the Waste in IT and Web Development

Governments, social scientists, technologists, and even the heads of AI organizations are expressing concerns about the potential misuse of the power unleashed by Foundation Models and Generative AI. Many nations and organizations have already started taking steps to regulate this powerful technology to prevent possible misuse and disruption of the societal fabric. Fear and concerns are synonymous with the approach toward nuclear technology worldwide. 

The teams of the Object Management Group (OMG) Responsible Computing Initiative launched a Tiger team to study and evaluate the potential concerns regarding Generative AI Techniques (GAIT) and recommend ways to channel the capabilities of GAIT responsibly to benefit society. 

Specific objectives include investigations on how to:

- Instill trust and reduce bias in the data used to build GAI models.
- Recommend proper and ethical use of AI models whilst protecting the intellectual rights of authors, artists, and other professionals.
- Regulate the proliferation of AI models to ensure no disruptive effects on employment, society, and the environment.
- Educate the consumers, administrators, and governmental bodies on the dangers and limitations of excessive use of AI models.

The different tracks of this initiative are:

• Ensure trustworthy Generative AI Models, which must be based on accurate and unbiased data.
• Impact on the Labor market, especially many white-collar jobs like copywriters, interpreters, and even professionals like investment advisors, editors, lawyers, customer support professionals, creative writers, doctors, etc.
• Issues related to IP, copyright violation, ownership, royalty, etc.
• Impact on the environment with the power-hungry deep learning process to build(train) GAI models.

Michael Linehan (OMG) and Cheranellore Vasudevan (IBM) will present their thoughts as they start their work on this initiative.

Responsible Generative AI

At Northrop Grumman, the digital thread provides the framework for continuous feedback and incremental opportunities to build, refine and verify solutions digitally. The digital thread provides extensible, configurable, multi-directional integration of authoritative technical data, software and information throughout a system’s lifecycle, enabling the operational efficiencies and data-driven insights our customers require.  

This webinar will provide insights into our model-based digital thread and the digital technologies that are being implemented at Northrop Grumman to drive speed, quality and cost savings for our customers.   

In this webinar, attendees will examine: 

The value of digital thread in Aerospace & Defense applications. 

Strategic advantages of digital thread-based frameworks. 

Northrop Grumman’s unique digital transformation journey. 

  

Who should attend: 

Technologists and business executives in A&D and related industries, i.e. manufacturing and energy. 

Technologists and business executives interested in learning more about digital twins,  real-world implementations, and how they realize value. 

Anyone interested in digital transformation and digital twins.

Digital Thread Powering Digital Twins at Northrop Grumman

We live in a world of rapidly changing technological advancements, with new and evolving threats from our adversaries. Our customers within the Aerospace and Defense industry have made it clear that they are evolving to meet the threat—and they expect us to evolve with them. Lockheed Martin, the world's largest defense contractor, is embracing Digital Transformation as one way to stay Ahead of Ready. This webinar provides an overview of our company's Digital Transformation journey, focusing particular attention on various Digital Thread and Digital Twin technologies being implemented at Lockheed Martin.

Transforming Aerospace & Defense with Digital Twins - a Lockheed Martin Use Case

The Digital Twin Consortium Technology Showcase features a new sustainability use case: a remote operations center (ROC) for wind farms based on digital twins. The ROC increases wind energy production, reduces downtime, and enhances turbine maintenance efficiency and safety. 

A digital twin provides a virtual representation of the physical wind farm, synchronized at a high frequency and fidelity. Using IoT devices, sensors, and communication protocols, the ROC collects data from wind turbines and equipment.  

This allows operators to monitor and predict changes without disrupting operations. By providing a platform for remote decision-making, the twins enable performance optimization and operational efficiency.

Join XMPRO’s Gavin Green, as he takes a look inside the remote operations center, breaks down how it works, and illustrates its value.

DTC Use Case: A Digital Twin-Based Remote Operations Center for Wind Farms

A virtual twin starts with designing a 3D model that represents the shape, dimensions and properties of a physical product or system. Simulations are run on that virtual model to explore how the product will behave when assembled, operated or subjected to a range of events. 

Virtual twins let you visualize, model and simulate entire environments. The goal is to facilitate sustainable business innovation across the full product lifecycle. Testing help optimize and validate the design, materials and production processes. Because it is all done virtually, it makes the entire lifecycle more sustainable. 

In this webinar, presenters from Dassault Systèmes will define virtual twins, the virtual twin experience, and how they differ from digital twins. They will showcase virtual twins for modeling & simulation, science & data, and collaboration and demonstrate how end-users are leveraging virtual twin experiences in real-life in four industries:  

Aerospace & Defense, 
Industrial Equipment,  
Life Sciences, and  
Transportation & Mobility.

Who Should Attend: 

Business executives and technology professionals who are investing in digital twins and 3D modeling or are considering investing in the technologies. 

IT and IoT professionals across industrial and life sciences vertical market. 

Digital twin and 3D modeling practitioners, and those interested in becoming

How to Leverage the Virtual Twin Experience in Real-life; With Industry Examples

In order to identify strategies for bringing carbon emissions under control, one of the first steps we need to take as a technology community is to measure the actual emissions. Emissions caused by Scope 1 (fossil fuel burning) and Scope 2 (electricity consumed during production) are relatively easy to measure. 
 
Unfortunately, measuring Scope 3 emissions has presented a major challenge. Scope 3 emissions are important because they make up 80% of all carbon output during the manufacturing process. Produced across the supply chain and distribution network, Scope 3 emissions include carbon generated by logistics, raw material, the carbon footprint of parts used, and so on. 
 
In this webinar, Eric Barnstedt, OPC Foundation, and Achalesh Pandey, GE Digital, will explain how digital twins are being leveraged to provide clear insights into the carbon footprint across an organization’s entire manufacturing supply chain. This includes a breakthrough way to measure, track, and report on Scope 3.

Measure Scope 3 Carbon Emissions with Digital Twins

This webinar will explore how Multi-Agent Generative Systems (MAGS) are transforming the automotive industry. Eugene will discuss the integration of MAGS with digital twin technology and software-defined vehicle approaches, showcasing how this combination creates an intelligent ecosystem for innovation throughout the entire automotive lifecycle.  

The presentation will look at the main advantages of MAGS and how it differs from traditional AI approaches. Eugene will provide examples of how MAGS can improve everyday processes in industries beyond automotive.
 
WHAT WILL BE COVERED

- AI's potential in complex systems
- Applying AI to enhance safety, efficiency, and decision-making in high-stakes environments
- The impact of AI on autonomous systems and predictive analytics
- Navigating regulatory landscapes
- Potential applications of MAGS in the next 5-10 years.

WHO SHOULD ATTEND

• Technologists and business executives across industries, committed to digital twins and taking their operational efficiency to the next level.
• Technologists and business executives interested in learning more about Gen AI for autonomous vehicle implementations, digital engineering, 3d modeling and simulation, and how they realize value.
• Anyone interested in digital engineering or digital twins.

Unlocking Automotive AI Use-Cases with Multi-Agent Generative AI Systems

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