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S4E9 Digital Twins in an Agentic World

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Manage episode 440761338 series 167672
Innhold levert av Invisible Machines. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Invisible Machines eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
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 #AIPodcast #TechPodcast #InvisibleMachines #AI #ArtificialIntelligence #ConversationalAI #AIAgents #TechInsights #DigitalTwins #AIOrchestration #ProductManagement #TechInnovation #DataArchitecture #MichaelGrieves #FutureOfAI #TechTalk
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Manage episode 440761338 series 167672
Innhold levert av Invisible Machines. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Invisible Machines eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
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 #AIPodcast #TechPodcast #InvisibleMachines #AI #ArtificialIntelligence #ConversationalAI #AIAgents #TechInsights #DigitalTwins #AIOrchestration #ProductManagement #TechInnovation #DataArchitecture #MichaelGrieves #FutureOfAI #TechTalk
  continue reading

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