James Ehrlich

Strategic Partner at Thrive Dynamic

James Ehrlich serves as the Director of Compassionate Sustainability at Stanford University School of Medicine and holds the position of Entrepreneur In Residence at Stanford University, focusing on empathy in design thinking for resilient and compassionate neighborhood developments. As Founder of ReGen Villages, a spin-off from Stanford, James works on building regenerative residential communities with integrated life support systems. Experience includes roles in the White House and the State Department on environmental task forces, and contributions to the Solar Decathlon competition as an Organic Food System Coach. James has a strong background in multimedia and game design as the founder and CEO of ICFX, Inc., and has held various leadership positions in technology companies. Educational credentials include work at Stanford University and New York University.

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Thrive Dynamic

Digital Twins are the natural evolution of Artificial Intelligence and the Genesis of the Industrial Revolution 4.0. Thrive Dynamic is a Master Integrator of Next Generation Digital Twins. We architect first-of-their-kind National Frameworks and Sector Specific Solutions. We are an Alliance of 70+ World-Class Domain Experts and Polymaths. We bring technical and business expertise to design, build and operate one-of-a-kind solutions that consistently outperform. Thrive has been responsible for establishing many of the leading best practices in National Digital Twin Standards in the NL, UK and Singapore. Our objective is to build on these best practices to help set the next Global Standard. We partner with clients to take on some of the world’s greatest business challenges. We believe technology can be a force for good that ushers in a new era of possibility and prosperity for all. We enable our partners to rapidly integrate Next Generation solutions in Digital Twins, AI, IIoT, Edge Computing, Robotics, Machine Collaboration, Advanced Human-Machine Interfaces, Cybersecurity, Data Transformation/Fusion and Organizational Learning.


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11-50

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