During our weekly online sessions, our community (both the end-users and solution providers) share their expertise and experiences.
During our last Digital Twins & Industrial Metaverse meeting, we had an end of the year industry wrap up, lessons learned, trends, and what to look forward to for 2024! The participants discussed advancements in immersive tech and emerging technologies, highlighting the industry's progress in XR deployment at scale and advancements in hardware, delivery, and toolkits. They also discussed the market making opportunity and the need to address SDGs and ESG measures, as well as the importance of enablers like quicker data transfer, edge computing, and cloud storage for effective adoption of emerging technologies. The utility of generative AI and toolkits, the use of immersive environments for measuring cognitive load and adapting training exercises, and the application of immersive environments for organizational management and training were also discussed. The participants emphasized the importance of a proactive mindset, the challenges with digital twins, data bias and control, simulation and gaming in business, blockchain challenges, virtual environments and identity verification, the intersection of XR and AI, and the use of AI and XR in the medical industry.
Topics & Highlights
1. Discussion on advancements of immersive tech and emerging technologies
The industry is pushing forward in XR and getting all the elements in place to deploy at scale.
Advancements in hardware, delivery, and toolkits were discussed.
The metaverse construct was unseated by AI in the hype cycle.
2. Market Making Opportunity
the market making opportunity and the need to address the SDGs and ESG measures.
the discussion will pinpoint how they focus on 2024.
3. Enabling Technologies for Emerging Techs
need for enablers like quicker data transfer, edge computing, and cloud storage for effective adoption of emerging technologies.
lack of day-to-day utility and the cumbersome nature of entering virtual environments.
4. Utility of Generative AI and Toolkits
utility of chat GPT and her deep dive into toolkits for leveraging generative AI in a more effective way.
plethora of tools built on OpenAI and Gemini that have changed various aspects of work.
impact of these tools on coding, project management, presentations, and art.
5. Human Performance and Immersive Environments
use of immersive environments, such as XR and IoT, to measure cognitive load and adapt training exercises based on biometrics and stress levels.
potential impact of understanding cognitive load and psychology on emergency situations, day-to-day life, and interpersonal relationships.
6. Organizational Management and Training
work done with companies, including design thinking, future visioning, and workshops.
application of immersive environments, real-time scenario simulation, and data collection for tracking cognitive and physical abilities.
7. Proactive vs Reactive Mindset
importance of training the mind to be present and make decisions based on current information, while also projecting forward to think about future products and services.
digital transformation strategy alone is not enough for fundamental change in business. A proactive mindset and a vision of the future are necessary to drive innovation.
mentality shift required in the public sector and the challenges related to security, integration, and data protection. Educating clients and customers about the strategic implementation of technology is important.
example of Tyndall Air Force Base as a case where solving current problems in a slow and steady manner is important. She also highlighted the significance of digital twins as a foundational element in every company.
8. Challenges with Digital Twin
challenges of Digital Twin due to the massive amount of compute required and the need for standards around data management and storage.
filtering and using efficient data for different use cases instead of compressing all the data together.
challenges of digital twins, including the massive amount of compute and data from ERP systems, the need for better data quality, and the importance of standardization.
realizations about Digital Twins, emphasizing the integration of data and workflow processes, the importance of data exchange, and the need for a common vocabulary.
9. Data Bias and Control
data scientists can come up with different inferences when given the same data set.
prediction that up to 70% of data will be synthetic in the next year and the implications of training AI on biased or skewed data.
need for mechanisms to control and train AI models on clean and accurate data, especially for companies in secure environments.
10. Simulation and Gaming in Business
use of simulation and game engines to simulate future business scenarios and visualize different scenarios.
role of game engines in visualizing digital twins and creating immersive experiences.
11. Blockchain and its Challenges
concerns about the security and transparency of data on the blockchain, as well as the integration of quantum computing. There is a general misunderstanding and lack of expertise regarding blockchain technology.
European blockchain services infrastructure and the use of blockchain for self-sovereign identity, NFTs, ESG reporting, and verifying data authenticity. He also highlights the fragmentation and lack of standardization in permissioned blockchains.
12. Virtual Environments and Identity Verification
importance of verifiable identity in virtual environments and the need for proof of humanity to prevent impersonation. The parallel with the zero trust mechanism is mentioned.
13. XR and AI intersection
The participants discuss the advances in AR and the increased interest in XR.
value of AI behind XR, particularly in delivering cognitive training and adaptive learning.
importance of securing data and mentions the challenges in adopting XR technologies.
ease of adopting XR technologies and the challenges involved. He also mentions the use cases for XR training in various industries.
14. AI and XR in the medical industry
AI learns from doctors' procedures and improves over time, leading to increased efficiency and transformation of the medical industry.
The challenges of using augmented reality on bodies due to anatomical variability and the need for FDA approval are discussed. Organizational culture and resistance to change are also mentioned as potential barriers to implementing digital twins.
high returns and short payback periods associated with digital twins, but highlights the resistance to change and siloed data as obstacles to their implementation.
