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10 trends for digital twins in 2023

10 trends for digital twins in 2023

Over the past year, interest in digital twins has increased. Tools for creating digital twins are becoming more powerful, effective, and user-friendly. Additionally, they are utilizing USD and glTF, two promising formats, to link various tools and procedures together.

The accuracy and efficiency of hybrid digital twins can also be increased by improvements in model merging approaches. In addition to text and image generation, generative AI approaches may also be used to generate 3D forms and even digital twins. Businesses will be able to mix and match modeling skills in new ways and for new jobs thanks to these kinds of advancements.

Here are some trends to look out for in the upcoming year.

1. Adding data and linking files

All of the key design tools have been migrating to the cloud over the past few years, but they are still exchanging data using old file formats. Vendors are increasingly highlighting the data integration features of these technologies that make it simpler to transfer digital twins among various tools and services.

Often, a vendor's tool set will begin with a subset of this feature. For instance, Bentley has started Phase 2 of the infrastructure metaverse, while Siemens is renaming a new subset of its technologies as part of Siemens Xcelerator. Trimble One, a "purpose-built linked construction management platform that incorporates rich field data, estimating, detailing, project management, finance, and human resource management solutions," was introduced by market leader in location intelligence Trimble in November.

Moving apps easily to the cloud is one thing. Various entrepreneurs are also paving the path for more effective ways to link data amongst these apps. Similar developments for tying together digital twins and threads across various processes will probably be announced during the course of the upcoming year by the other main building and design tool vendors.

2. Entertainment companies look to the commercial metaverse

In collaboration with digital-twin leaders, Epic and Unreal have made major strides toward delivering an improved user experience across devices. Significant collaborations between these businesses and industry titans in GIS, building, and automobiles have been announced.

The latest Microsoft flight simulator's globe was created by Blackshark AI, which also scaled the technology for automatically converting unlabeled satellite imagery into annotated digital twins. Blackshark for Earth-scale digital twins received a sizable investment, according to an announcement made in April by Maxar, a top provider of satellite photography.

The industrial metaverse, which ABI predicts will surpass the consumer metaverse over the next years, will attract more gaming and entertainment companies over the coming year.

3. Nvidia mobilizes backing for the USD

The Universal Scene Description (USD) format was invented by Pixar as a way to streamline the filmmaking process. Nvidia has promoted USD to link the dots between various industrial metaverse use cases and digital twin use cases. The company is enhancing workflows for Siemens in industrial automation and Bentley in construction while also providing connections to the IFC standard for buildings.

There is no better tool for organizing the 3D data for massive digital twins than USD, despite its limitations in the areas of physics, materials, and rigging. The groundbreaking work on USD by Nvidia promises to link raw data with numerous business, industrial, and medical applications.

4. glTF streamlines the exchange of digital twins

The glTF file format is gaining popularity as a means of exchanging 3D models among various tools. It is referred to as the JPEG for the metaverse and digital twins by the Khronos Group. Expect gITF to gain popularity, especially as artists search for a simple method of transferring dynamic 3D models between programs.

5. Combining digital twins and generative AI

The world has been amazed by how simple it is to utilize Stable Diffusion to make graphics and ChatGPT to compose text over the past year. Others have, however, shown how to integrate models across text, video, 3D, and robotic instructions using new multimodal tools like DeepMind's Gato. We may anticipate more advancements over the upcoming year in the use of digital twin models and generative AI approaches to describe not just the appearance of things, but also their functional behavior.

A producer of synthetic data tools, Synthesis AI's CEO and founder Yashar Behzadi stated, "This growing capability will transform how games are made, visual effects are created, and immersive 3D environments are established. By making this technology more accessible for commercial use, it will be possible to use digital twins and simulations to train sophisticated computer vision systems, such the ones used in autonomous vehicles.

6. Digital twin hybrids

The models employed in digital twins come with a variety of performance, accuracy, and use case compromises. According to Prith Banerjee, CTO of Ansys, businesses will discover new ways to combine various techniques to hybrid digital twins in 2023.

CIOs find it simpler to comprehend the potential of a specific asset or system thanks to hybrid digital twins. They will give businesses the ability to combine physics data with asset data gathered by IoT sensors to improve system design, predictive maintenance, and industrial asset management. In the upcoming years, Banerjee envisions this strategy being adopted by an increasing number of industries, leading to disruptive business outcomes.

An electrophysiological simulation of a heartbeat as the muscles contract, the valves open, and the blood flows between the heart's chambers, for instance, may be created by a healthcare organization. The business can then use an MRI scan of a patient to create a simulation of that person's heart and how it would respond to the insertion of a specific pacemaker model. By demonstrating in-silico trials, this R&D study could assist medical device and equipment companies in developing new products and applying for FDA trials.

7. The FDA Modernization Act substitutes silicon for mammals

Since the FDA's inception, animal testing has been necessary for all new medications and therapies. This will encourage the development of patients-on-a-chip and better digital twins for medical testing that is both more affordable and humane.

"We believe in-silico methods, including use of artificial intelligence in conjunction with advance organs on a chip, or patient-on-a-chip, will be the biggest trend in drug development in the coming years," Tamara Drake, director of research and regulatory policy at the Center for Responsible Science, told VentureBeat.

8. New use cases are created by digital twin ecosystems

Digital twins, according to Matt Barrington, emerging technology head at EY Americas, will continue to change how we manage businesses in 2023. A digital market twin, for instance, can be used to assess new items and aid in management and strategic choice-making. In difficult times, digital twins will support supply chain resilience and enhance risk management, safety, and sustainability.

Increased focus on fundamental digital skills in data management and devops for data engineering, as well as a more thorough approach to security, are requirements for this change. Barrington forecasts industry fragmentation and intense specialization, so that no one vendor will be able to provide an all-encompassing digital twin solution. To produce the best solution for their organization, companies will need to integrate a number of competencies. More open, composable architectures and the capacity to create an ecosystem-based system will be necessary as part of that strategy.

9. The adoption of enterprise digital twins

To construct a digital twin of the company, vendors have made considerable advancements in process mining and process capture solutions.

These developments, according to Bernd Gross, CTO at Software AG, enable businesses to design simulations for an entire department or a collection of business processes rather than just one.

To produce more accurate results, leaders will develop ways to integrate multiple technologies, such as process mining, risk analysis, and compliance monitoring. These methods call for more extensive and detailed data. To construct a genuinely accurate corporate digital twin today, businesses must now take into account pertinent KPIs, causalities between processes, the life cycle of a business unit, and more.

10. Driven by digital twins In direct line of sight from one of the more recent towers, 5G offers much higher speeds, but it can be slower than 4G in radio shadow areas. Digital twins could aid cellular service providers in their fight to eliminate these gaps. According to Fortune Business Insights, the market for 5G cells might expand by 54.4% a year through 2028.

Many telcos are looking to digital twins to switch to a plan, build, and operate paradigm, which enables them to maximize service while minimizing costs, according to Mike Flaxman, spatial data science lead at Heavy AI.

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