Dr. Michael Grieves, a pioneer in digital twin technology developed during his NASA collaboration, joins the discussion about AI orchestration. He explains how digital twins provide essential context for AI agents, improving efficiency and user experience. The chat delves into the evolution of digital twins and their real-time implications across industries, from aerospace to smart tech. Grieves also tackles the challenge of 'retirementitus,' inhibiting innovation in organizations, and explores practical strategies for implementing digital twins incrementally.
Digital twins are essential for AI agents, offering contextual insights that enhance the creation of meaningful user experiences efficiently.
The effective orchestration of AI requires distinguishing between static and temporal data to improve predictive capabilities and decision-making.
Resistance to adopting digital twins often comes from traditional practices, but increasing computing power may drive wider acceptance and successful implementation.
Deep dives
The Concept of Digital Twins
Digital twins are crucial for orchestrating AI agents, providing the necessary context for creating meaningful user experiences. They can represent various physical and virtual elements, ranging from factory layouts to organizational processes. By using temporal data, digital twins can run detailed simulations, enhancing their predictive capabilities. The idea that information serves as a means to reduce physical exertion underlines the purpose of digital twins in automating and optimizing tasks.
Evolution and Definitions of Digital Twins
Dr. Michael Greaves elucidates the definition of digital twins, emphasizing their grounding in use cases that deliver real value. He argues that relationships between data points are vital in transforming mere data into actionable information. This perspective challenges traditional views that prioritize structured data, suggesting that unstructured data holds potential if utilized correctly. The conversation highlights that digital twins must evolve based on practical applications rather than theoretical constructs.
AI Agents and Contextual Understanding
AI agents require contextual understanding to operate effectively, similar to how a robot needs a map to navigate a space. The discussion focuses on building a digital twin of an organization that can optimize interactions among people, resources, and data. Successful implementation involves separating static data from temporal data to improve predictive accuracy. This synergy between AI and digital twins allows for more effective decision-making in organizational environments.
Challenges and Opportunities in Digital Simulations
The conversation explores the complexity of implementing digital twins across various sectors and the barriers to broader adoption. Despite the clear advantages of simulations, including cost-efficiency and risk reduction, many organizations remain hesitant to invest in these technologies. Resistance often stems from a preference for traditional methods, which can hinder innovative approaches. However, as computing power increases, the demonstration of digital twin capabilities will likely accelerate as more examples of successful applications emerge.
AI's Role in Enhancing Digital Twins
The integration of AI into digital twins can revolutionize how organizations utilize unstructured data, making it more actionable and insightful. By allowing AI to manage and update digital twins automatically, organizations can ensure they remain relevant and accurate. The discussion also emphasizes the need for a balanced approach, where multiple AI systems can interact based on a shared digital twin context. This collaborative framework enhances decision-making processes, optimizing resource utilization while minimizing physical waste in operations.
Digital twins are critical to the orchestration of AI agents, providing the context they need to create meaningful experiences quickly and efficiently. Robb and Josh welcome Dr. Michael Grieves for a conversation about the origins of the concept, which he developed while working with NASA in the 2010s.
The architecture required for orchestrating AI agents relies on different types of digital twins that may emerge within an organization, touching on physical elements, temporal data, and collections of unstructured data. Dr. Grieves joins the podcast to explore these connections, drawing from his book Product Lifecycle Management as well as his numerous scientific publications.
The trio also discusses how something Michael calls “retirementitus” prevents organizations from embracing the sweeping technologies surrounding AI and digital twins.
In this episode, we mention:
Dr. Michael Grieves’ book “Product Lifecycle Management: Driving the Next Generation of Lean Thinking”: https://www.amazon.com/Product-Lifecycle-Management-Generation-Thinking/dp/0071452303
Dr. Michael Grieves’ book “Digital Twins, Simulation, and the Metaverse: Driving Efficiency and Effectiveness in the Physical World through Simulation in the Virtual Worlds (Simulation Foundations, Methods and Applications): https://www.amazon.com/Digital-Twins-Simulation-Metaverse-Effectiveness/dp/3031691067
The Invisible Machines episode “Building an Advanced Digital Assistant” with Jeff McMillan (Head of AI) and David Wu (Head of Knowledge Management & Generative AI) at Morgan Stanley: https://www.youtube.com/watch?v=3iQbufK1luE&t=1567s
Charles Perrow’s book “Normal Accidents: Living with High Risk Technologies: https://www.perlego.com/book/735258/normal-accidents-living-with-high-risk-technologies-updated-edition-pdf
The Invisible Machines episode with Dr. Nathan Price, Chief Scientific Officer of Thorn HealthTech, and Dr. Lee Hood, a world-renowned scientist, a recipient of the National Medal of Science, and a key contributor to the human genome project: https://www.youtube.com/watch?v=rrrEu5TNqFg
The Invisible Machines episode “Lean Knowledge Management” with Roger Forsgren, former Chief Knowledge Officer at NASA: https://www.youtube.com/watch?v=e4A_JiBRCr8
You can learn more about orchestrating AI agents for your team: https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=digital_twins_episode&utm_content=1
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